2016-04-21 19:39:32 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 19:39:32 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 19:39:32 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 19:39:32 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 19:39:32 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 19:39:32 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:39:32 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 19:39:32 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@33867b23
2016-04-21 19:39:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:39:32 INFO ASLSession:352 - Logging the entrance
2016-04-21 19:39:32 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 19:39:32 DEBUG TemplateModel:83 - 2016-04-21 19:39:32, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 19:39:32 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:39:33 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 19:39:33 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 122 ms
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 19:39:33 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 19:39:33 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:39:33 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 19:39:34 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 19:39:34 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 19:39:34 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:39:34 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 19:39:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:39:34 INFO ASLSession:352 - Logging the entrance
2016-04-21 19:39:34 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 19:39:34 DEBUG TemplateModel:83 - 2016-04-21 19:39:34, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 19:39:34 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:39:34 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 19:39:34 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@1b0a2102
2016-04-21 19:39:34 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@ad14ab8
2016-04-21 19:39:34 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@7daf1bf1
2016-04-21 19:39:34 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@50ecbca3
2016-04-21 19:39:34 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 286 ms
2016-04-21 19:39:34 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 19:39:34 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 19:39:34 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 19:39:34 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 19:39:34 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 19:39:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:39:34 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:39:34 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 19:39:34 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 21 ms
2016-04-21 19:39:34 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 19:39:34 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:39:34 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 19:39:34 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 19:39:34 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:39:34 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 19:39:34 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 19:39:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:39:34 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:39:34 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:39:34 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 19:39:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:34 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 19:39:34 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 19:39:34 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 19:39:34 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 19:39:34 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 19:39:34 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 19:39:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29
2016-04-21 19:39:34 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:39:34 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 19:39:34 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms
2016-04-21 19:39:35 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 19:39:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:39:35 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:35 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:35 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 19:39:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:35 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 19:39:35 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 19:39:35 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:39:35 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 19:39:35 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 19:39:35 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 19:39:35 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 19:39:35 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 19:39:35 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 19:39:35 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 19:39:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:35 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:35 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 19:39:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 19:39:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:36 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:36 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:36 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:36 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:36 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:36 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:36 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 19:39:36 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:36 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:36 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:36 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:36 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:36 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:36 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:36 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 19:39:36 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:36 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:36 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:36 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:36 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:36 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:36 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:36 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 19:39:36 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:37 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 19:39:37 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 19:39:37 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:39:37 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:39:37 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:37 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:37 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:37 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:37 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:37 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:37 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 19:39:37 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:37 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:39:37 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:39:37 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:37 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:37 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:37 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:37 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:37 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:37 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 19:39:37 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:37 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:37 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 19:39:37 INFO WorkspaceExplorerServiceImpl:188 - end time - 180 msc 0 sec
2016-04-21 19:39:37 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:39:37 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:39:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 19:39:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 30 ms
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 19:39:37 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:39:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 19:39:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms
2016-04-21 19:39:37 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 19:39:37 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 19:39:37 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 19:39:37 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 19:39:37 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 19:39:37 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:39:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 19:39:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:39:37 INFO WorkspaceExplorerServiceImpl:188 - end time - 282 msc 0 sec
2016-04-21 19:39:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:39:48 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:39:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:39:48 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 19:39:48 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:39:48 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:39:48 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:39:48 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:39:48 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:39:48 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:39:48 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:39:48 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 19:39:48 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:39:48 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:39:48 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:39:48 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:39:48 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:39:48 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:39:48 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:39:48 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:39:48 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:39:48 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:39:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:39:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:39:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:39:48 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:39:48 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:39:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:39:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:39:48 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:39:48 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:39:48 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:39:48 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:39:48 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:39:48 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:39:48 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:39:48 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:39:48 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:39:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:39:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:39:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:39:48 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:39:48 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:39:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:39:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:39:48 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:39:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:39:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:39:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:39:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:39:48 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 19:39:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:39:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:39:48 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:39:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 19:39:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 19:39:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:39:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:39:48 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:39:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:39:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:39:48 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 19:39:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 19:39:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:39:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:39:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 19:39:48 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:39:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:49 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:39:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:39:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:49 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:49 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:49 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:39:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:49 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:39:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:49 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:39:49 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:39:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:49 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:49 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:39:49 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:39:49 INFO WorkspaceExplorerServiceImpl:142 - end time - 267 msc 0 sec
2016-04-21 19:39:49 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:39:57 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-21 19:39:57 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-21 19:39:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:39:57 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:39:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:39:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:57 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:57 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:57 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-21 19:39:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:39:57 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:39:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:39:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:57 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:57 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:58 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-21 19:39:58 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-21 19:39:58 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-21 19:39:58 DEBUG ServiceEngine:306 - get() - start
2016-04-21 19:39:58 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-21 19:39:58 DEBUG BucketCoding:42 - coding name done
2016-04-21 19:39:58 DEBUG ServiceEngine:62 - path(String) - name: StatisticalTest
2016-04-21 19:39:58 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/
2016-04-21 19:39:58 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-21 19:39:58 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-21 19:39:58 INFO OperationFactory:39 - getOperation(String) - start getFolderSize
2016-04-21 19:39:58 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-21 19:39:58 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/
2016-04-21 19:39:58 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-21 19:39:58 DEBUG BucketCoding:42 - coding name done
2016-04-21 19:39:58 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-21 19:39:58 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-21 19:39:58 DEBUG MongoIO:77 - open mongo connection
2016-04-21 19:39:58 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-21 19:39:58 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:39:58 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:39:58 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:39:58 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@bca93a16, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5ae38c58, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@11131406, socketFactory=javax.net.DefaultSocketFactory@7b879eab, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-21 19:39:58 INFO MongoIO:106 - new mongo connection pool opened
2016-04-21 19:39:58 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-21 19:39:58 INFO connection:71 - Opened connection [connectionId{localValue:1, serverValue:39410}] to mongo2-d-d4s.d4science.org:27017
2016-04-21 19:39:58 INFO connection:71 - Opened connection [connectionId{localValue:2, serverValue:1631769}] to mongo3-d-d4s.d4science.org:27017
2016-04-21 19:39:58 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-21 19:39:58 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-21 19:39:58 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1610178, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:39:58 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1957241, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:39:58 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-21 19:39:58 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:39:58 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:39:58 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-21 19:39:58 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=2.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:39:58 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=2.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:39:58 INFO connection:71 - Opened connection [connectionId{localValue:4, serverValue:1937059}] to mongo1-d-d4s.d4science.org:27017
2016-04-21 19:39:58 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-21 19:39:58 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1327317, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:39:58 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=2.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:39:58 INFO connection:71 - Opened connection [connectionId{localValue:3, serverValue:1350478}] to mongo4-d-d4s.d4science.org:27017
2016-04-21 19:39:58 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-21 19:39:58 INFO connection:71 - Opened connection [connectionId{localValue:5, serverValue:1631770}] to mongo3-d-d4s.d4science.org:27017
2016-04-21 19:39:58 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=3931277, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:39:58 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=2.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=3.9 ms, state=CONNECTED}]
2016-04-21 19:39:58 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:39:58 DEBUG command:56 - Command execution completed
2016-04-21 19:39:58 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:39:58 DEBUG command:56 - Command execution completed
2016-04-21 19:39:58 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:39:58 DEBUG command:56 - Command execution completed
2016-04-21 19:39:58 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-21 19:39:58 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:39:58 DEBUG command:56 - Command execution completed
2016-04-21 19:39:58 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:39:58 DEBUG command:56 - Command execution completed
2016-04-21 19:39:58 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:39:59 DEBUG query:56 - Query completed
2016-04-21 19:39:59 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 7 objects
2016-04-21 19:39:59 DEBUG connection:56 - Closing connection connectionId{localValue:4, serverValue:1937059}
2016-04-21 19:39:59 INFO connection:71 - Closed connection [connectionId{localValue:5, serverValue:1631770}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-21 19:39:59 DEBUG connection:56 - Closing connection connectionId{localValue:3, serverValue:1350478}
2016-04-21 19:39:59 DEBUG connection:56 - Closing connection connectionId{localValue:1, serverValue:39410}
2016-04-21 19:39:59 DEBUG connection:56 - Closing connection connectionId{localValue:5, serverValue:1631770}
2016-04-21 19:39:59 DEBUG connection:56 - Closing connection connectionId{localValue:2, serverValue:1631769}
2016-04-21 19:39:59 INFO MongoIO:508 - Mongo has been closed
2016-04-21 19:39:59 INFO DefaultMongoClient:1329 - getFolderTotalVolume 130827 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-21 19:39:59 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-21 19:39:59 INFO WorkspaceExplorerServiceImpl:503 - returning size: 130827
2016-04-21 19:39:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:39:59 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:39:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:39:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:59 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:59 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:39:59 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:39:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:39:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:39:59 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:39:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:39:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:39:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:39:59 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:39:59 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-21 19:39:59 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-21 19:39:59 INFO JCRServlets:697 - Calling Servlet get Parents By Id 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-21 19:39:59 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-21 19:39:59 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 19:39:59 INFO WorkspaceExplorerServiceImpl:188 - end time - 43 msc 0 sec
2016-04-21 19:39:59 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-21 19:39:59 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null]
2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-21 19:40:01 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi
2016-04-21 19:40:01 DEBUG ServiceEngine:306 - get() - start
2016-04-21 19:40:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-21 19:40:01 DEBUG BucketCoding:42 - coding name done
2016-04-21 19:40:01 DEBUG ServiceEngine:62 - path(String) - name: DBScan
2016-04-21 19:40:01 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/
2016-04-21 19:40:01 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-21 19:40:01 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-21 19:40:01 INFO OperationFactory:39 - getOperation(String) - start getFolderSize
2016-04-21 19:40:01 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-21 19:40:01 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/
2016-04-21 19:40:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-21 19:40:01 DEBUG BucketCoding:42 - coding name done
2016-04-21 19:40:01 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-21 19:40:01 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-21 19:40:01 DEBUG MongoIO:77 - open mongo connection
2016-04-21 19:40:01 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-21 19:40:01 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:01 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:01 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:01 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@bca93a16, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5ae38c58, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@11131406, socketFactory=javax.net.DefaultSocketFactory@7b879eab, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-21 19:40:01 INFO MongoIO:106 - new mongo connection pool opened
2016-04-21 19:40:01 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-21 19:40:01 INFO connection:71 - Opened connection [connectionId{localValue:7, serverValue:1631771}] to mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:01 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1629753, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:01 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-21 19:40:01 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:01 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:01 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:01 INFO connection:71 - Opened connection [connectionId{localValue:6, serverValue:39411}] to mongo2-d-d4s.d4science.org:27017
2016-04-21 19:40:01 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-21 19:40:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1351809, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:01 INFO connection:71 - Opened connection [connectionId{localValue:9, serverValue:1937061}] to mongo1-d-d4s.d4science.org:27017
2016-04-21 19:40:01 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-21 19:40:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1124728, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:40:01 INFO connection:71 - Opened connection [connectionId{localValue:8, serverValue:1350479}] to mongo4-d-d4s.d4science.org:27017
2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:40:01 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-21 19:40:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1445517, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}]
2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-21 19:40:01 INFO JCRServlets:697 - Calling Servlet get Parents By Id 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi
2016-04-21 19:40:01 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi
2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:188 - end time - 43 msc 0 sec
2016-04-21 19:40:01 INFO connection:71 - Opened connection [connectionId{localValue:10, serverValue:1631772}] to mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:01 DEBUG command:56 - Command execution completed
2016-04-21 19:40:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:01 DEBUG command:56 - Command execution completed
2016-04-21 19:40:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:01 DEBUG command:56 - Command execution completed
2016-04-21 19:40:01 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan
2016-04-21 19:40:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:01 DEBUG command:56 - Command execution completed
2016-04-21 19:40:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:01 DEBUG command:56 - Command execution completed
2016-04-21 19:40:01 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-21 19:40:01 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=7ba62008-739a-4787-ae33-7938ad109a54, name=DBScan, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 19:40:01 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-21 19:40:01 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null]
2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:518 - get MimeType By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849
2016-04-21 19:40:02 DEBUG query:56 - Query completed
2016-04-21 19:40:02 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 1 objects
2016-04-21 19:40:02 DEBUG connection:56 - Closing connection connectionId{localValue:9, serverValue:1937061}
2016-04-21 19:40:02 DEBUG connection:56 - Closing connection connectionId{localValue:6, serverValue:39411}
2016-04-21 19:40:02 DEBUG connection:56 - Closing connection connectionId{localValue:8, serverValue:1350479}
2016-04-21 19:40:02 INFO connection:71 - Closed connection [connectionId{localValue:10, serverValue:1631772}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-21 19:40:02 DEBUG connection:56 - Closing connection connectionId{localValue:10, serverValue:1631772}
2016-04-21 19:40:02 INFO MongoIO:508 - Mongo has been closed
2016-04-21 19:40:02 INFO DefaultMongoClient:1329 - getFolderTotalVolume 849 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan
2016-04-21 19:40:02 DEBUG connection:56 - Closing connection connectionId{localValue:7, serverValue:1631771}
2016-04-21 19:40:02 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan
2016-04-21 19:40:02 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849
2016-04-21 19:40:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:40:02 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:40:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:40:02 DEBUG DataMinerManagerServiceImpl:418 - retrieveTableInformation(): Item [id=13d0382e-8833-4df7-b4dc-61bbba61b3e5, name=hcaf_filtered.csv, type=EXTERNAL_FILE, path=/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv, children=[], owner=giancarlo.panichi, isFolder=false, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=Wed Mar 09 17:10:22 CET 2016]
2016-04-21 19:40:02 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:40:02 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:40:02 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:40:02 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:40:02 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:40:02 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:40:02 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-21 19:40:02 DEBUG ServiceEngine:193 - get() - start
2016-04-21 19:40:02 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-21 19:40:02 DEBUG BucketCoding:42 - coding name done
2016-04-21 19:40:02 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv
2016-04-21 19:40:02 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/
2016-04-21 19:40:02 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-21 19:40:02 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-21 19:40:02 INFO OperationFactory:39 - getOperation(String) - start download
2016-04-21 19:40:02 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-21 19:40:02 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-21 19:40:02 DEBUG BucketCoding:42 - coding name done
2016-04-21 19:40:02 DEBUG Download:57 - DOWNLOAD /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv in bucket: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-21 19:40:02 DEBUG Operation:173 - get(String) - start
2016-04-21 19:40:02 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-21 19:40:02 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-21 19:40:02 DEBUG MongoIO:77 - open mongo connection
2016-04-21 19:40:02 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-21 19:40:02 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:02 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:02 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:02 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@bca93a16, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5ae38c58, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@11131406, socketFactory=javax.net.DefaultSocketFactory@7b879eab, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-21 19:40:02 INFO MongoIO:106 - new mongo connection pool opened
2016-04-21 19:40:02 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:11, serverValue:39412}] to mongo2-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1474447, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:03 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:14, serverValue:1937062}] to mongo1-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=908449, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:12, serverValue:1631773}] to mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1439812, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:03 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:13, serverValue:1350480}] to mongo4-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1143736, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.1 ms, state=CONNECTED}]
2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:15, serverValue:1631774}] to mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 INFO DefaultMongoClient:96 - MongoClient get method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM]
2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-21 19:40:03 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG query:56 - Query completed
2016-04-21 19:40:03 INFO MongoIO:186 - object found hcaf_filtered.csv
2016-04-21 19:40:03 INFO DefaultMongoClient:1047 - MongoClient download method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM]
2016-04-21 19:40:03 INFO DefaultMongoClient:1491 - set last operation: DOWNLOAD
2016-04-21 19:40:03 DEBUG update:56 - Updating documents in namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG update:56 - Update completed
2016-04-21 19:40:03 DEBUG query:56 - Sending query of namespace remotefs.fs.chunks on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG query:56 - Query completed
2016-04-21 19:40:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:40:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:40:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:40:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:40:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:40:03 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:40:03 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-21 19:40:03 INFO JCRWorkspaceItem:998 - get PublicLink for item: hcaf_filtered.csv
2016-04-21 19:40:03 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube
2016-04-21 19:40:03 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube
2016-04-21 19:40:03 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-21 19:40:03 DEBUG BucketCoding:42 - coding name done
2016-04-21 19:40:03 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv
2016-04-21 19:40:03 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/
2016-04-21 19:40:03 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube
2016-04-21 19:40:03 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-21 19:40:03 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared
2016-04-21 19:40:03 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl
2016-04-21 19:40:03 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-21 19:40:03 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-21 19:40:03 DEBUG BucketCoding:42 - coding name done
2016-04-21 19:40:03 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-21 19:40:03 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-21 19:40:03 DEBUG MongoIO:77 - open mongo connection
2016-04-21 19:40:03 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:03 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@bca93a16, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5ae38c58, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@11131406, socketFactory=javax.net.DefaultSocketFactory@7b879eab, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-21 19:40:03 INFO MongoIO:106 - new mongo connection pool opened
2016-04-21 19:40:03 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:16, serverValue:39413}] to mongo2-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1223706, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:03 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:17, serverValue:1631775}] to mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1031432, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:03 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:19, serverValue:1937063}] to mongo1-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=750343, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.8 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:18, serverValue:1350481}] to mongo4-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1495260, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:20, serverValue:1631776}] to mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.8 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}]
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-21 19:40:03 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG command:56 - Command execution completed
2016-04-21 19:40:03 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-21 19:40:03 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG query:56 - Query completed
2016-04-21 19:40:03 INFO MongoIO:186 - object found hcaf_filtered.csv
2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:19, serverValue:1937063}
2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:16, serverValue:39413}
2016-04-21 19:40:03 INFO connection:71 - Closed connection [connectionId{localValue:20, serverValue:1631776}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:20, serverValue:1631776}
2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:18, serverValue:1350481}
2016-04-21 19:40:03 INFO MongoIO:508 - Mongo has been closed
2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:17, serverValue:1631775}
2016-04-21 19:40:03 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-21 19:40:03 INFO Operation:55 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-21 19:40:03 INFO Operation:57 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-21 19:40:03 DEBUG Operation:87 - translating: http://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-21 19:40:03 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/
2016-04-21 19:40:03 DEBUG Operation:93 - get params: http://data-d.d4science.org/ 8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-21 19:40:03 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-21 19:40:03 INFO Operation:65 - URL translated: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.1 ms, state=CONNECTED}]
2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.1 ms, state=CONNECTED}]
2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:14, serverValue:1937062}
2016-04-21 19:40:03 INFO connection:71 - Closed connection [connectionId{localValue:15, serverValue:1631774}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:13, serverValue:1350480}
2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:11, serverValue:39412}
2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:15, serverValue:1631774}
2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:12, serverValue:1631773}
2016-04-21 19:40:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:40:21 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:40:21 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:40:21 DEBUG DataMinerManagerServiceImpl:150 - StartComputation(): [computationTitle=Dbscan-2016-04-21 19:39, computationDescription=Dbscan-2016-04-21 19:39, operator=Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[TabularParameter [tableName=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0, templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=Test, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=10, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=1, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]], hasImage=false]]
2016-04-21 19:40:21 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:40:21 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:40:22 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:40:22 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:40:22 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:40:22 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:40:22 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:40:22 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 19:40:22 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:40:22 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:40:22 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:40:22 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:40:22 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:40:22 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:40:22 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:40:22 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:40:22 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:40:22 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:40:22 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:40:22 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:40:22 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:40:22 DEBUG SClient4WPS:681 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:40:22 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:40:22 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:40:22 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:40:22 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:40:22 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:40:22 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:40:22 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:40:22 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:40:22 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:40:22 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:40:22 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:40:22 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:40:22 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:40:22 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:40:22 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:40:22 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:40:22 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:40:22 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:40:22 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:40:22 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:40:22 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:40:22 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:40:22 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:40:22 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:40:22 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 19:40:22 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:40:22 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:40:22 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:40:22 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 19:40:22 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 19:40:22 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:40:22 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:40:22 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:40:22 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:40:22 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:40:22 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 19:40:22 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 19:40:22 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:40:22 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:40:22 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 19:40:22 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsTable, value=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-21 19:40:22 DEBUG SClient4WPS:689 - UserInputs= key:FeaturesColumnNames, value=salinitymin
2016-04-21 19:40:22 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsClusterLabel, value=Test
2016-04-21 19:40:22 DEBUG SClient4WPS:689 - UserInputs= key:epsilon, value=10
2016-04-21 19:40:22 DEBUG SClient4WPS:689 - UserInputs= key:min_points, value=1
2016-04-21 19:40:22 DEBUG SClient4WPS:748 - Configuring Complex: OccurrencePointsTable to: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-21 19:40:22 DEBUG SClient4WPS:731 - Configuring Literal: FeaturesColumnNames to: salinitymin
2016-04-21 19:40:22 DEBUG SClient4WPS:731 - Configuring Literal: OccurrencePointsClusterLabel to: Test
2016-04-21 19:40:22 DEBUG SClient4WPS:731 - Configuring Literal: epsilon to: 10
2016-04-21 19:40:22 DEBUG SClient4WPS:731 - Configuring Literal: min_points to: 1
2016-04-21 19:40:22 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:40:23 DEBUG SClient4WPS:380 - Sending:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
OccurrencePointsTable
FeaturesColumnNames
salinitymin
OccurrencePointsClusterLabel
Test
epsilon
10
min_points
1
2016-04-21 19:40:23 DEBUG StatWPSClientSession:420 - RetrieveDataViaPost(): http://dataminer1-d-d4s.d4science.org:80/wps/WebProcessingService?
2016-04-21 19:40:23 DEBUG SClient4WPS:399 - Retrieved ProcessLocation: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4
2016-04-21 19:40:23 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:40:23 DEBUG SClient4WPS:768 - Starting Process: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4
2016-04-21 19:40:23 DEBUG SClient4WPS:695 - Stated Computation ProcessLocation:http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4
2016-04-21 19:40:23 DEBUG SClient4WPS:706 - ComputationId: ComputationId [id=64a3a520-1938-4827-b65b-f99cc7cb28b4, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4]
2016-04-21 19:40:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:40:29 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:40:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:40:33 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:40:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:40:33 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=64a3a520-1938-4827-b65b-f99cc7cb28b4, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4]
2016-04-21 19:40:33 INFO StatWPSClientSession:114 - CONNECT
2016-04-21 19:40:33 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-21 19:40:33 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4
2016-04-21 19:40:33 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 19:40:33 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-21 19:40:33 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-21 19:40:33 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
java.lang.RuntimeException: Error in creating the table for wps_d9e6dc53dfcf4fa0b9b6f4062c1a8a87: ERROR: syntax error at or near "<"
Position: 52
2016-04-21 19:40:33 DEBUG SClient4WPS:845 - WPS FAILURE:
java.lang.RuntimeException: Error in creating the table for wps_d9e6dc53dfcf4fa0b9b6f4062c1a8a87: ERROR: syntax error at or near "<"
Position: 52
OR PAUSED: null
2016-04-21 19:40:33 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=100.0, status=FAILED, endDate=null, message=null, errResource=null]
2016-04-21 19:40:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:40:59 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:40:59 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:40:59 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
2016-04-21 19:40:59 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:40:59 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:41:00 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
KMEANS
A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:41:00 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input:
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input:
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input:
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:41:00 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:41:00 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:41:00 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:41:00 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:41:00 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:41:00 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:41:00 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:41:00 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:41:00 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:41:00 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:41:00 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:41:00 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:41:00 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:41:00 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:41:00 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:41:00 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:41:00 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input
2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value: 3
2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters
2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k
2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT]
2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input
2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure
2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs
2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input
2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value: 5
2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps
2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps
2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT]
2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set
2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:41:00 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:41:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:41:00 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:41:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:41:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:41:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:41:00 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:41:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:41:00 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:41:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:41:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:41:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:41:00 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:41:00 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:41:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:41:00 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:41:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:41:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:41:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:41:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:41:00 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:41:00 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:41:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:41:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:41:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:41:00 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:41:00 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:41:00 INFO WorkspaceExplorerServiceImpl:142 - end time - 171 msc 0 sec
2016-04-21 19:41:00 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:41:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:41:24 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:42:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:42:19 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:43:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:43:14 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:44:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:44:09 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:45:04 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:45:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:45:07 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:45:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:45:07 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF
2016-04-21 19:45:07 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:45:07 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:45:08 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF
LOF
Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed.
PointsTable
Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: PointsTable. Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from PointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from PointsTable separated by | ]
PointsClusterLabel
table name of the resulting distribution
Name of the parameter: PointsClusterLabel. table name of the resulting distribution
Cluster_
minimal_points_lower_bound
locality (usually called k): minimal number of nearest neighbors
Name of the parameter: minimal_points_lower_bound. locality (usually called k): minimal number of nearest neighbors
2
minimal_points_upper_bound
maximum number of nearest neighbors to take into account for outliers evaluation
Name of the parameter: minimal_points_upper_bound. maximum number of nearest neighbors to take into account for outliers evaluation
10
distance_function
the distance function to use in the calculation
Name of the parameter: distance_function. the distance function to use in the calculation
euclidian distance
squared distance
cosine distance
inverted cosine distance
angle
euclidian distance
lof_threshold
the LOF score threshold over which the point is an outlier (usually 2)
Name of the parameter: lof_threshold. the LOF score threshold over which the point is an outlier (usually 2)
2
2016-04-21 19:45:08 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input:
PointsTable
Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: PointsTable. Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from PointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from PointsTable separated by | ]
2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input:
PointsClusterLabel
table name of the resulting distribution
Name of the parameter: PointsClusterLabel. table name of the resulting distribution
Cluster_
2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input:
minimal_points_lower_bound
locality (usually called k): minimal number of nearest neighbors
Name of the parameter: minimal_points_lower_bound. locality (usually called k): minimal number of nearest neighbors
2
2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input:
minimal_points_upper_bound
maximum number of nearest neighbors to take into account for outliers evaluation
Name of the parameter: minimal_points_upper_bound. maximum number of nearest neighbors to take into account for outliers evaluation
10
2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input:
distance_function
the distance function to use in the calculation
Name of the parameter: distance_function. the distance function to use in the calculation
euclidian distance
squared distance
cosine distance
inverted cosine distance
angle
euclidian distance
2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input:
lof_threshold
the LOF score threshold over which the point is an outlier (usually 2)
Name of the parameter: lof_threshold. the LOF score threshold over which the point is an outlier (usually 2)
2
2016-04-21 19:45:08 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:45:08 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:45:08 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:45:08 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:45:08 DEBUG WPS2SM:279 - Conversion to SM Type->PointsTable is a Complex Input
2016-04-21 19:45:08 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:45:08 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:45:08 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:45:08 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:PointsTable
2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=PointsTable, description=Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:45:08 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:45:08 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:45:08 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from PointsTable separated by |
2016-04-21 19:45:08 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:45:08 DEBUG WPS2SM:115 - Machter end: 93
2016-04-21 19:45:08 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:45:08 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: PointsTable
2016-04-21 19:45:08 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from PointsTable separated by | ]
2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->PointsClusterLabel is a Literal Input
2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value: Cluster_
2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:PointsClusterLabel
2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=Cluster_, value=null, name=PointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:Cluster_], typology=OBJECT]
2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->minimal_points_lower_bound is a Literal Input
2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:locality (usually called k): minimal number of nearest neighbors
2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:minimal_points_lower_bound
2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=minimal_points_lower_bound, description=locality (usually called k): minimal number of nearest neighbors [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->minimal_points_upper_bound is a Literal Input
2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:maximum number of nearest neighbors to take into account for outliers evaluation
2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:minimal_points_upper_bound
2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=minimal_points_upper_bound, description=maximum number of nearest neighbors to take into account for outliers evaluation [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->distance_function is a Literal Input
2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value: euclidian distance
2016-04-21 19:45:08 DEBUG WPS2SM:265 - ValueType[]:[euclidian distance, squared distance, cosine distance, inverted cosine distance, angle]
2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:the distance function to use in the calculation
2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:distance_function
2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=distance_function, description=the distance function to use in the calculation [Min N. of Entries:1; Max N. of Entries:1; default:euclidian distance], typology=ENUM]
2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->lof_threshold is a Literal Input
2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:the LOF score threshold over which the point is an outlier (usually 2)
2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:lof_threshold
2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=lof_threshold, description=the LOF score threshold over which the point is an outlier (usually 2) [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:45:08 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=PointsTable, description=Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=Cluster_, value=null, name=PointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:Cluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=minimal_points_lower_bound, description=locality (usually called k): minimal number of nearest neighbors [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=minimal_points_upper_bound, description=maximum number of nearest neighbors to take into account for outliers evaluation [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], Parameter [name=distance_function, description=the distance function to use in the calculation [Min N. of Entries:1; Max N. of Entries:1; default:euclidian distance], typology=ENUM], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=lof_threshold, description=the LOF score threshold over which the point is an outlier (usually 2) [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:45:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:08 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:08 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:45:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:08 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:08 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:08 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:08 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:08 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:45:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:08 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:08 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:08 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:45:08 INFO WorkspaceExplorerServiceImpl:142 - end time - 171 msc 0 sec
2016-04-21 19:45:08 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:45:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:11 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:45:11 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:45:11 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
2016-04-21 19:45:11 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:45:11 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:45:12 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
KMEANS
A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:45:12 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:45:12 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:45:12 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:45:12 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:45:12 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:45:12 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:45:12 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:45:12 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:45:12 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:45:12 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:45:12 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:45:12 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:45:12 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:45:12 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:45:12 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:45:12 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:45:12 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:45:12 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input
2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value: 3
2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters
2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k
2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT]
2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input
2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure
2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs
2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input
2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value: 5
2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps
2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps
2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT]
2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set
2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:45:12 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:12 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:12 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:45:12 INFO WorkspaceExplorerServiceImpl:142 - end time - 163 msc 0 sec
2016-04-21 19:45:12 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:45:20 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:45:20 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 19:45:20 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:45:20 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:45:20 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:45:20 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:45:20 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:45:20 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:45:20 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:45:20 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 19:45:20 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:45:20 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:45:20 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:45:20 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:45:20 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:45:20 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:45:20 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:45:20 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:45:20 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:45:20 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:45:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:45:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:45:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:20 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:45:20 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:45:20 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:20 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:20 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:45:20 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:45:20 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:45:20 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:45:20 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:45:20 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:45:20 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:45:20 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:45:20 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:45:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:45:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:45:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:20 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:45:20 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:45:20 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:20 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:20 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:45:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:45:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:45:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:45:20 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 19:45:20 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:20 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:45:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 19:45:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 19:45:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:45:20 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:45:20 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:20 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 19:45:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 19:45:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:45:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 19:45:20 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:20 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:45:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:20 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:20 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:45:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:20 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:45:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:20 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:20 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:45:20 INFO WorkspaceExplorerServiceImpl:142 - end time - 162 msc 0 sec
2016-04-21 19:45:20 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:45:28 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:45:28 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:45:28 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:45:28 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION
2016-04-21 19:45:28 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:45:28 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:45:29 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION
SGVM_INTERPOLATION
An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare
InputFile
Input file in TACSAT format. E.g. http://goo.gl/i16kPw
Name of the parameter: InputFile. Input file in TACSAT format. E.g. http://goo.gl/i16kPw
text/xml
text/xml
application/d4science
npoints
The number of pings or positions required between each real or actual vessel position or ping
Name of the parameter: npoints. The number of pings or positions required between each real or actual vessel position or ping
10
interval
Average time in minutes between two adjacent datapoints
Name of the parameter: interval. Average time in minutes between two adjacent datapoints
120
margin
Maximum deviation from specified interval to find adjacent datapoints (tolerance)
Name of the parameter: margin. Maximum deviation from specified interval to find adjacent datapoints (tolerance)
10
res
Number of points to use to create interpolation (including start and end point)
Name of the parameter: res. Number of points to use to create interpolation (including start and end point)
100
method
Set to cHs for cubic Hermite spline or SL for Straight Line interpolation
Name of the parameter: method. Set to cHs for cubic Hermite spline or SL for Straight Line interpolation
cHs
SL
cHs
fm
The FM parameter in cubic interpolation
Name of the parameter: fm. The FM parameter in cubic interpolation
0.5
distscale
The DistScale parameter for cubic interpolation
Name of the parameter: distscale. The DistScale parameter for cubic interpolation
20
sigline
The Sigline parameter in cubic interpolation
Name of the parameter: sigline. The Sigline parameter in cubic interpolation
0.2
minspeedThr
A filter on the minimum speed to take into account for interpolation
Name of the parameter: minspeedThr. A filter on the minimum speed to take into account for interpolation
2
maxspeedThr
A filter on the maximum speed to take into account for interpolation
Name of the parameter: maxspeedThr. A filter on the maximum speed to take into account for interpolation
6
headingAdjustment
Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel.
Name of the parameter: headingAdjustment. Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel.
0
equalDist
Whether the number of positions returned should be equally spaced or not
Name of the parameter: equalDist. Whether the number of positions returned should be equally spaced or not
true
false
true
2016-04-21 19:45:29 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
InputFile
Input file in TACSAT format. E.g. http://goo.gl/i16kPw
Name of the parameter: InputFile. Input file in TACSAT format. E.g. http://goo.gl/i16kPw
text/xml
text/xml
application/d4science
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
npoints
The number of pings or positions required between each real or actual vessel position or ping
Name of the parameter: npoints. The number of pings or positions required between each real or actual vessel position or ping
10
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
interval
Average time in minutes between two adjacent datapoints
Name of the parameter: interval. Average time in minutes between two adjacent datapoints
120
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
margin
Maximum deviation from specified interval to find adjacent datapoints (tolerance)
Name of the parameter: margin. Maximum deviation from specified interval to find adjacent datapoints (tolerance)
10
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
res
Number of points to use to create interpolation (including start and end point)
Name of the parameter: res. Number of points to use to create interpolation (including start and end point)
100
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
method
Set to cHs for cubic Hermite spline or SL for Straight Line interpolation
Name of the parameter: method. Set to cHs for cubic Hermite spline or SL for Straight Line interpolation
cHs
SL
cHs
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
fm
The FM parameter in cubic interpolation
Name of the parameter: fm. The FM parameter in cubic interpolation
0.5
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
distscale
The DistScale parameter for cubic interpolation
Name of the parameter: distscale. The DistScale parameter for cubic interpolation
20
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
sigline
The Sigline parameter in cubic interpolation
Name of the parameter: sigline. The Sigline parameter in cubic interpolation
0.2
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
minspeedThr
A filter on the minimum speed to take into account for interpolation
Name of the parameter: minspeedThr. A filter on the minimum speed to take into account for interpolation
2
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
maxspeedThr
A filter on the maximum speed to take into account for interpolation
Name of the parameter: maxspeedThr. A filter on the maximum speed to take into account for interpolation
6
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
headingAdjustment
Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel.
Name of the parameter: headingAdjustment. Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel.
0
2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input:
equalDist
Whether the number of positions returned should be equally spaced or not
Name of the parameter: equalDist. Whether the number of positions returned should be equally spaced or not
true
false
true
2016-04-21 19:45:29 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:45:29 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:45:29 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:45:29 DEBUG WPS2SM:279 - Conversion to SM Type->InputFile is a Complex Input
2016-04-21 19:45:29 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:45:29 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:45:29 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:45:29 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Input file in TACSAT format. E.g. http://goo.gl/i16kPw
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:InputFile
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: FileParameter [mimeType=text/xml, value=null, name=InputFile, description=Input file in TACSAT format. E.g. http://goo.gl/i16kPw [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=FILE]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->npoints is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of pings or positions required between each real or actual vessel position or ping
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:npoints
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=npoints, description=The number of pings or positions required between each real or actual vessel position or ping [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->interval is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 120
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Average time in minutes between two adjacent datapoints
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:interval
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=120, value=null, name=interval, description=Average time in minutes between two adjacent datapoints [Min N. of Entries:1; Max N. of Entries:1; default:120], typology=OBJECT]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->margin is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Maximum deviation from specified interval to find adjacent datapoints (tolerance)
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:margin
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=margin, description=Maximum deviation from specified interval to find adjacent datapoints (tolerance) [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->res is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 100
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Number of points to use to create interpolation (including start and end point)
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:res
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=100, value=null, name=res, description=Number of points to use to create interpolation (including start and end point) [Min N. of Entries:1; Max N. of Entries:1; default:100], typology=OBJECT]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->method is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: cHs
2016-04-21 19:45:29 DEBUG WPS2SM:265 - ValueType[]:[cHs, SL]
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Set to cHs for cubic Hermite spline or SL for Straight Line interpolation
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:method
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=method, description=Set to cHs for cubic Hermite spline or SL for Straight Line interpolation [Min N. of Entries:1; Max N. of Entries:1; default:cHs], typology=ENUM]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->fm is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 0.5
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The FM parameter in cubic interpolation
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:fm
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=fm, description=The FM parameter in cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->distscale is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 20
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The DistScale parameter for cubic interpolation
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:distscale
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=20, value=null, name=distscale, description=The DistScale parameter for cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:20], typology=OBJECT]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->sigline is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 0.2
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The Sigline parameter in cubic interpolation
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:sigline
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.2, value=null, name=sigline, description=The Sigline parameter in cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:0.2], typology=OBJECT]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->minspeedThr is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A filter on the minimum speed to take into account for interpolation
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:minspeedThr
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=2, value=null, name=minspeedThr, description=A filter on the minimum speed to take into account for interpolation [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->maxspeedThr is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 6
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A filter on the maximum speed to take into account for interpolation
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:maxspeedThr
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=6, value=null, name=maxspeedThr, description=A filter on the maximum speed to take into account for interpolation [Min N. of Entries:1; Max N. of Entries:1; default:6], typology=OBJECT]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->headingAdjustment is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 0
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel.
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:headingAdjustment
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=headingAdjustment, description=Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel. [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]
2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->equalDist is a Literal Input
2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: true
2016-04-21 19:45:29 DEBUG WPS2SM:265 - ValueType[]:[true, false]
2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Whether the number of positions returned should be equally spaced or not
2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:equalDist
2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=equalDist, description=Whether the number of positions returned should be equally spaced or not [Min N. of Entries:1; Max N. of Entries:1; default:true], typology=ENUM]
2016-04-21 19:45:29 DEBUG SClient4WPS:650 - Parameters: [FileParameter [mimeType=text/xml, value=null, name=InputFile, description=Input file in TACSAT format. E.g. http://goo.gl/i16kPw [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=FILE], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=npoints, description=The number of pings or positions required between each real or actual vessel position or ping [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=120, value=null, name=interval, description=Average time in minutes between two adjacent datapoints [Min N. of Entries:1; Max N. of Entries:1; default:120], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=margin, description=Maximum deviation from specified interval to find adjacent datapoints (tolerance) [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=100, value=null, name=res, description=Number of points to use to create interpolation (including start and end point) [Min N. of Entries:1; Max N. of Entries:1; default:100], typology=OBJECT], Parameter [name=method, description=Set to cHs for cubic Hermite spline or SL for Straight Line interpolation [Min N. of Entries:1; Max N. of Entries:1; default:cHs], typology=ENUM], ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=fm, description=The FM parameter in cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=20, value=null, name=distscale, description=The DistScale parameter for cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:20], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=0.2, value=null, name=sigline, description=The Sigline parameter in cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:0.2], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=2, value=null, name=minspeedThr, description=A filter on the minimum speed to take into account for interpolation [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=6, value=null, name=maxspeedThr, description=A filter on the maximum speed to take into account for interpolation [Min N. of Entries:1; Max N. of Entries:1; default:6], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=headingAdjustment, description=Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel. [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT], Parameter [name=equalDist, description=Whether the number of positions returned should be equally spaced or not [Min N. of Entries:1; Max N. of Entries:1; default:true], typology=ENUM]]
2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:45:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:45:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:29 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:45:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:29 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:45:29 INFO WorkspaceExplorerServiceImpl:142 - end time - 162 msc 0 sec
2016-04-21 19:45:29 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:45:48 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:45:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:45:48 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS
2016-04-21 19:45:48 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:45:48 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:45:48 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS
TIME_SERIES_ANALYSIS
An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram.
TimeSeriesTable
The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg]
Name of the parameter: TimeSeriesTable. The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg]
text/xml
text/xml
text/csv
text/plain
ValueColum
The column containing the values of the time series [the name of a column from TimeSeriesTable]
Name of the parameter: ValueColum. The column containing the values of the time series [the name of a column from TimeSeriesTable]
values
FFT_Window_Samples
The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples.
Name of the parameter: FFT_Window_Samples. The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples.
12
AggregationFunction
Function to apply to samples with the same time instant
Name of the parameter: AggregationFunction. Function to apply to samples with the same time instant
SUM
AVG
SUM
Sensitivity
Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones.
Name of the parameter: Sensitivity. Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones.
LOW
NORMAL
HIGH
LOW
SSA_Window_in_Samples
The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend
Name of the parameter: SSA_Window_in_Samples. The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend
20
SSA_EigenvaluesThreshold
The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal
Name of the parameter: SSA_EigenvaluesThreshold. The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal
0.7
SSA_Points_to_Forecast
The number of points to forecast over the original length of the time series
Name of the parameter: SSA_Points_to_Forecast. The number of points to forecast over the original length of the time series
10
2016-04-21 19:45:48 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input:
TimeSeriesTable
The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg]
Name of the parameter: TimeSeriesTable. The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input:
ValueColum
The column containing the values of the time series [the name of a column from TimeSeriesTable]
Name of the parameter: ValueColum. The column containing the values of the time series [the name of a column from TimeSeriesTable]
values
2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input:
FFT_Window_Samples
The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples.
Name of the parameter: FFT_Window_Samples. The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples.
12
2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input:
AggregationFunction
Function to apply to samples with the same time instant
Name of the parameter: AggregationFunction. Function to apply to samples with the same time instant
SUM
AVG
SUM
2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input:
Sensitivity
Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones.
Name of the parameter: Sensitivity. Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones.
LOW
NORMAL
HIGH
LOW
2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input:
SSA_Window_in_Samples
The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend
Name of the parameter: SSA_Window_in_Samples. The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend
20
2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input:
SSA_EigenvaluesThreshold
The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal
Name of the parameter: SSA_EigenvaluesThreshold. The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal
0.7
2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input:
SSA_Points_to_Forecast
The number of points to forecast over the original length of the time series
Name of the parameter: SSA_Points_to_Forecast. The number of points to forecast over the original length of the time series
10
2016-04-21 19:45:48 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:45:48 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:45:48 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:45:48 DEBUG WPS2SM:279 - Conversion to SM Type->TimeSeriesTable is a Complex Input
2016-04-21 19:45:48 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:45:48 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:45:48 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:45:48 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg]
2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:TimeSeriesTable
2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=TimeSeriesTable, description=The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->ValueColum is a Literal Input
2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: values
2016-04-21 19:45:48 DEBUG WPS2SM:130 - Machter title: The column containing the values of the time series [the name of a column from TimeSeriesTable] [Min N. of Entries:1; Max N. of Entries:1; default:values]
2016-04-21 19:45:48 DEBUG WPS2SM:131 - Machter find: true
2016-04-21 19:45:48 DEBUG WPS2SM:132 - Machter group: the name of a column from TimeSeriesTable
2016-04-21 19:45:48 DEBUG WPS2SM:133 - Machter start: 53
2016-04-21 19:45:48 DEBUG WPS2SM:134 - Machter end: 94
2016-04-21 19:45:48 DEBUG WPS2SM:135 - Machter Group Count: 1
2016-04-21 19:45:48 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: TimeSeriesTable
2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing the values of the time series [the name of a column from TimeSeriesTable]
2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:ValueColum
2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=ValueColum, description=The column containing the values of the time series [the name of a column from TimeSeriesTable] [Min N. of Entries:1; Max N. of Entries:1; default:values], typology=COLUMN]
2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->FFT_Window_Samples is a Literal Input
2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: 12
2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples.
2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FFT_Window_Samples
2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=12, value=null, name=FFT_Window_Samples, description=The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples. [Min N. of Entries:1; Max N. of Entries:1; default:12], typology=OBJECT]
2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->AggregationFunction is a Literal Input
2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: SUM
2016-04-21 19:45:48 DEBUG WPS2SM:265 - ValueType[]:[SUM, AVG]
2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Function to apply to samples with the same time instant
2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:AggregationFunction
2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=AggregationFunction, description=Function to apply to samples with the same time instant [Min N. of Entries:1; Max N. of Entries:1; default:SUM], typology=ENUM]
2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->Sensitivity is a Literal Input
2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: LOW
2016-04-21 19:45:48 DEBUG WPS2SM:265 - ValueType[]:[LOW, NORMAL, HIGH]
2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones.
2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Sensitivity
2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=Sensitivity, description=Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones. [Min N. of Entries:1; Max N. of Entries:1; default:LOW], typology=ENUM]
2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->SSA_Window_in_Samples is a Literal Input
2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: 20
2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend
2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SSA_Window_in_Samples
2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=20, value=null, name=SSA_Window_in_Samples, description=The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend [Min N. of Entries:1; Max N. of Entries:1; default:20], typology=OBJECT]
2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->SSA_EigenvaluesThreshold is a Literal Input
2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: 0.7
2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal
2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SSA_EigenvaluesThreshold
2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.7, value=null, name=SSA_EigenvaluesThreshold, description=The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal [Min N. of Entries:1; Max N. of Entries:1; default:0.7], typology=OBJECT]
2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->SSA_Points_to_Forecast is a Literal Input
2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of points to forecast over the original length of the time series
2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SSA_Points_to_Forecast
2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=SSA_Points_to_Forecast, description=The number of points to forecast over the original length of the time series [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:45:48 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=TimeSeriesTable, description=The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=ValueColum, description=The column containing the values of the time series [the name of a column from TimeSeriesTable] [Min N. of Entries:1; Max N. of Entries:1; default:values], typology=COLUMN], ObjectParameter [type=java.lang.Integer, defaultValue=12, value=null, name=FFT_Window_Samples, description=The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples. [Min N. of Entries:1; Max N. of Entries:1; default:12], typology=OBJECT], Parameter [name=AggregationFunction, description=Function to apply to samples with the same time instant [Min N. of Entries:1; Max N. of Entries:1; default:SUM], typology=ENUM], Parameter [name=Sensitivity, description=Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones. [Min N. of Entries:1; Max N. of Entries:1; default:LOW], typology=ENUM], ObjectParameter [type=java.lang.Integer, defaultValue=20, value=null, name=SSA_Window_in_Samples, description=The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend [Min N. of Entries:1; Max N. of Entries:1; default:20], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=0.7, value=null, name=SSA_EigenvaluesThreshold, description=The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal [Min N. of Entries:1; Max N. of Entries:1; default:0.7], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=SSA_Points_to_Forecast, description=The number of points to forecast over the original length of the time series [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]]
2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:48 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:45:48 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:45:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:48 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:45:48 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:45:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:45:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:48 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:45:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:45:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:45:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:45:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:45:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:45:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:45:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:45:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:45:49 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:45:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:45:49 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:45:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:45:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:45:49 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:45:49 INFO WorkspaceExplorerServiceImpl:142 - end time - 184 msc 0 sec
2016-04-21 19:45:49 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:45:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:45:59 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:46:48 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 19:46:48 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 19:46:48 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 19:46:48 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 19:46:48 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 19:46:48 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:46:48 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 19:46:48 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@5028c90a
2016-04-21 19:46:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:46:48 INFO ASLSession:352 - Logging the entrance
2016-04-21 19:46:48 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 19:46:48 DEBUG TemplateModel:83 - 2016-04-21 19:46:48, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 19:46:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:46:48 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 19:46:48 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 159 ms
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 19:46:48 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 19:46:48 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:46:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 19:46:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@17e27615
2016-04-21 19:46:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@61a517a3
2016-04-21 19:46:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@37b742cf
2016-04-21 19:46:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@5459331f
2016-04-21 19:46:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 131 ms
2016-04-21 19:46:48 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 19:46:49 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 19:46:49 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 19:46:49 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 19:46:49 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 19:46:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:46:49 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:46:49 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 19:46:49 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 19:46:49 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 19:46:49 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 19:46:49 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 19:46:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:46:49 INFO ASLSession:352 - Logging the entrance
2016-04-21 19:46:49 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 19:46:49 DEBUG TemplateModel:83 - 2016-04-21 19:46:49, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 19:46:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:46:49 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 19:46:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 27 ms
2016-04-21 19:46:49 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 19:46:49 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:46:49 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 19:46:49 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:46:49 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 19:46:49 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 19:46:49 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 19:46:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:46:49 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:46:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:46:49 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 19:46:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:46:49 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:46:49 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 19:46:49 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 19:46:49 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 19:46:49 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 19:46:49 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 19:46:49 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 19:46:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 19:46:49 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:46:49 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 19:46:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms
2016-04-21 19:46:49 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 19:46:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:46:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:46:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:46:49 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 19:46:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:46:49 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 19:46:50 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:46:50 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 19:46:50 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 19:46:50 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 19:46:50 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 19:46:50 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 19:46:50 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 19:46:50 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 19:46:50 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 19:46:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:46:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:46:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:46:50 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 19:46:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:46:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:46:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:46:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:46:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:46:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:46:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:46:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 19:46:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:46:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:46:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:46:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:46:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:46:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:46:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:46:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 19:46:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:46:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:46:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:46:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:46:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:46:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:46:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:46:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 19:46:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:46:51 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 19:46:51 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 19:46:51 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:46:51 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:46:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:46:51 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:46:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:46:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:46:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:46:51 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:46:51 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 19:46:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:46:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:46:51 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:46:51 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:46:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:46:51 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:46:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:46:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:46:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:46:51 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:46:51 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 19:46:51 INFO WorkspaceExplorerServiceImpl:188 - end time - 121 msc 0 sec
2016-04-21 19:46:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:46:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:46:51 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:46:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:46:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 19:46:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 37 ms
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:46:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:46:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 19:46:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 21 ms
2016-04-21 19:46:51 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 19:46:51 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 19:46:51 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 19:46:51 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:46:51 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:46:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:46:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 19:46:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 23 ms
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:46:51 INFO WorkspaceExplorerServiceImpl:188 - end time - 286 msc 0 sec
2016-04-21 19:47:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:47:14 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:47:14 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:47:14 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 19:47:14 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:47:14 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:47:15 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:47:15 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:47:15 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:47:15 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:47:15 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:47:15 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 19:47:15 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:47:15 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:47:15 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:47:15 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:47:15 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:47:15 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:47:15 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:47:15 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:47:15 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:47:15 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:47:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:47:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:47:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:15 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:47:15 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:47:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:47:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:47:15 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:47:15 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:47:15 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:47:15 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:47:15 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:47:15 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:47:15 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:47:15 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:47:15 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:47:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:47:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:47:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:15 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:47:15 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:47:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:47:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:47:15 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:47:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:47:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:47:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:47:15 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 19:47:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:47:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:47:15 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:47:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 19:47:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 19:47:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:47:15 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:47:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:47:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:47:15 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 19:47:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 19:47:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:47:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 19:47:15 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:47:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:47:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:47:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:47:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:47:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:47:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:47:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:47:15 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:47:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:47:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:47:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:47:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:47:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:47:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:47:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:47:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:47:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:47:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:47:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:47:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:47:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:47:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:47:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:47:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:15 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:47:15 INFO WorkspaceExplorerServiceImpl:142 - end time - 218 msc 0 sec
2016-04-21 19:47:15 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:47:20 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:47:20 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
2016-04-21 19:47:20 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:47:20 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:47:20 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
KMEANS
A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:47:20 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input:
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input:
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input:
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:47:20 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:47:20 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:47:20 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:47:20 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:47:20 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:47:20 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:47:20 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:47:20 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:47:20 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:47:20 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:47:20 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:47:20 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:47:20 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:47:20 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:47:20 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:47:20 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:47:20 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input
2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value: 3
2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters
2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k
2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT]
2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input
2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure
2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs
2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input
2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value: 5
2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps
2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps
2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT]
2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set
2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:47:20 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:47:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:47:20 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:47:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:47:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:47:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:47:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:47:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:47:20 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:47:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:47:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:47:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:47:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:47:20 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:47:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:47:20 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:47:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:47:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:47:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:47:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:47:20 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:47:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:47:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:47:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:47:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:47:20 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:47:20 INFO WorkspaceExplorerServiceImpl:142 - end time - 205 msc 0 sec
2016-04-21 19:47:20 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:47:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:47:44 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:48:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:48:39 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:49:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:49:34 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:50:42 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 19:50:42 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 19:50:42 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 19:50:42 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 19:50:42 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 19:50:42 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:50:42 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 19:50:42 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@6ac67198
2016-04-21 19:50:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:50:42 INFO ASLSession:352 - Logging the entrance
2016-04-21 19:50:42 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 19:50:42 DEBUG TemplateModel:83 - 2016-04-21 19:50:42, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 19:50:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:50:42 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 19:50:42 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 137 ms
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 19:50:42 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 19:50:42 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:50:42 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 19:50:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@6ebebb3c
2016-04-21 19:50:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@fba4820
2016-04-21 19:50:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@475b87e1
2016-04-21 19:50:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@4a7deaac
2016-04-21 19:50:42 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 88 ms
2016-04-21 19:50:43 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 19:50:43 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 19:50:43 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 19:50:43 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 19:50:43 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 19:50:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:50:43 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:50:43 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 19:50:43 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 16 ms
2016-04-21 19:50:43 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 19:50:43 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:50:43 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 19:50:43 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:50:43 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 19:50:43 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 19:50:43 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:50:43 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 19:50:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:50:43 INFO ASLSession:352 - Logging the entrance
2016-04-21 19:50:43 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 19:50:43 DEBUG TemplateModel:83 - 2016-04-21 19:50:43, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 19:50:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:50:43 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 19:50:43 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 19:50:43 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 19:50:43 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 19:50:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:50:43 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:50:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:50:43 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 19:50:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:43 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 19:50:43 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 19:50:43 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 19:50:43 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 19:50:43 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 19:50:43 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 19:50:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36
2016-04-21 19:50:43 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:50:43 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 19:50:43 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms
2016-04-21 19:50:44 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 19:50:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:50:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:44 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 19:50:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:44 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 19:50:44 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:50:44 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 19:50:44 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 19:50:44 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 19:50:44 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 19:50:44 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 19:50:44 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 19:50:44 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 19:50:44 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 19:50:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:44 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 19:50:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 19:50:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 19:50:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 19:50:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:46 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 19:50:46 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 19:50:46 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:50:46 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:50:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:46 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 19:50:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:50:46 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:50:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:46 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 19:50:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:46 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 19:50:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 183 msc 0 sec
2016-04-21 19:50:46 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:50:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:50:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 19:50:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:50:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:50:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 19:50:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 20 ms
2016-04-21 19:50:46 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 19:50:46 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 19:50:46 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 19:50:46 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:50:46 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:50:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:50:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 19:50:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:50:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 293 msc 0 sec
2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 19:50:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:50:48 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 19:50:48 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:50:48 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:50:48 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:50:48 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:50:48 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:50:48 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:50:48 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:50:48 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 19:50:48 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:50:48 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:50:48 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:50:48 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:50:48 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:50:48 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:50:48 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:50:48 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:50:48 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:50:48 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:50:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:50:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:50:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:48 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:50:48 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:50:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:50:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:50:48 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:50:48 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:50:48 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:50:48 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:50:48 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:50:48 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:50:48 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:50:48 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:50:48 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:50:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:50:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:50:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:48 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:50:48 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:50:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:50:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:50:48 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:50:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:50:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:50:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:50:48 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 19:50:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:50:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:50:48 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:50:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 19:50:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 19:50:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:50:48 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:50:48 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:50:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:50:48 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 19:50:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 19:50:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:50:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 19:50:48 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:50:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:50:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:50:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:50:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:48 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:50:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:50:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:48 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:50:48 INFO WorkspaceExplorerServiceImpl:142 - end time - 205 msc 0 sec
2016-04-21 19:50:48 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:50:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:50:54 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:50:54 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:50:54 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
2016-04-21 19:50:54 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:50:54 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:50:54 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
KMEANS
A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:50:54 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input:
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input:
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input:
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:50:54 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:50:54 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:50:54 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:50:54 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:50:54 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:50:54 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:50:54 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:50:54 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:50:54 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:50:54 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:50:54 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:50:54 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:50:54 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:50:54 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:50:54 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:50:54 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:50:54 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input
2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value: 3
2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters
2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k
2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT]
2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input
2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure
2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs
2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input
2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value: 5
2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps
2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps
2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT]
2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set
2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:50:54 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 19:50:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:50:54 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:50:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:50:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:54 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:54 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:54 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:50:54 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 19:50:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:50:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:54 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:54 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:54 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:50:54 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:54 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:50:55 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:50:55 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:50:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:55 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:55 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:50:55 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:50:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:50:55 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:50:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:50:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:50:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:50:55 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:50:55 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:50:55 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:50:55 INFO WorkspaceExplorerServiceImpl:142 - end time - 189 msc 0 sec
2016-04-21 19:50:55 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:51:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:51:38 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:51:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:51:46 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:51:46 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:51:46 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 19:51:46 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:51:46 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:51:47 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:51:47 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:51:47 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:51:47 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:51:47 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:51:47 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 19:51:47 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:51:47 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:51:47 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:51:47 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:51:47 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:51:47 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:51:47 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:51:47 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:51:47 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:51:47 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:51:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:51:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:51:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:51:47 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:51:47 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:51:47 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:51:47 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:51:47 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:51:47 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:51:47 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:51:47 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:51:47 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:51:47 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:51:47 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:51:47 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:51:47 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:51:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:51:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:51:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:51:47 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:51:47 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:51:47 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:51:47 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:51:47 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:51:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:51:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:51:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:51:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:51:47 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 19:51:47 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:51:47 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:51:47 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:51:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 19:51:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 19:51:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:51:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:51:47 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:51:47 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:51:47 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:51:47 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 19:51:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 19:51:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:51:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:51:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 19:51:47 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:51:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:51:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:51:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:51:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:51:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:51:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:51:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:51:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:51:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:51:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:51:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:51:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:51:47 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:51:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:51:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:51:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:51:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:51:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:51:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:51:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:51:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:51:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:51:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:51:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:51:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:51:47 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:51:47 INFO WorkspaceExplorerServiceImpl:142 - end time - 188 msc 0 sec
2016-04-21 19:51:47 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:52:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:52:33 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:53:28 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:53:28 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:54:16 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:54:16 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
2016-04-21 19:54:16 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:54:16 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:54:16 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
KMEANS
A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:54:16 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input:
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input:
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input:
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:54:16 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:54:16 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:54:16 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:54:16 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:54:16 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:54:16 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:54:16 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:54:16 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:54:16 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:54:16 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:54:16 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:54:16 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:54:16 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:54:16 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:54:16 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:54:16 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:54:16 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input
2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value: 3
2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters
2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k
2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT]
2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input
2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure
2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs
2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input
2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value: 5
2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps
2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps
2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT]
2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set
2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:54:16 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:54:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:54:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:16 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:54:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:54:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:16 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:54:16 INFO WorkspaceExplorerServiceImpl:142 - end time - 185 msc 0 sec
2016-04-21 19:54:16 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:54:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:54:21 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 19:54:21 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:54:21 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF
2016-04-21 19:54:21 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:54:21 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:54:21 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF
LOF
Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed.
PointsTable
Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: PointsTable. Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from PointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from PointsTable separated by | ]
PointsClusterLabel
table name of the resulting distribution
Name of the parameter: PointsClusterLabel. table name of the resulting distribution
Cluster_
minimal_points_lower_bound
locality (usually called k): minimal number of nearest neighbors
Name of the parameter: minimal_points_lower_bound. locality (usually called k): minimal number of nearest neighbors
2
minimal_points_upper_bound
maximum number of nearest neighbors to take into account for outliers evaluation
Name of the parameter: minimal_points_upper_bound. maximum number of nearest neighbors to take into account for outliers evaluation
10
distance_function
the distance function to use in the calculation
Name of the parameter: distance_function. the distance function to use in the calculation
euclidian distance
squared distance
cosine distance
inverted cosine distance
angle
euclidian distance
lof_threshold
the LOF score threshold over which the point is an outlier (usually 2)
Name of the parameter: lof_threshold. the LOF score threshold over which the point is an outlier (usually 2)
2
2016-04-21 19:54:21 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input:
PointsTable
Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: PointsTable. Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from PointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from PointsTable separated by | ]
2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input:
PointsClusterLabel
table name of the resulting distribution
Name of the parameter: PointsClusterLabel. table name of the resulting distribution
Cluster_
2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input:
minimal_points_lower_bound
locality (usually called k): minimal number of nearest neighbors
Name of the parameter: minimal_points_lower_bound. locality (usually called k): minimal number of nearest neighbors
2
2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input:
minimal_points_upper_bound
maximum number of nearest neighbors to take into account for outliers evaluation
Name of the parameter: minimal_points_upper_bound. maximum number of nearest neighbors to take into account for outliers evaluation
10
2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input:
distance_function
the distance function to use in the calculation
Name of the parameter: distance_function. the distance function to use in the calculation
euclidian distance
squared distance
cosine distance
inverted cosine distance
angle
euclidian distance
2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input:
lof_threshold
the LOF score threshold over which the point is an outlier (usually 2)
Name of the parameter: lof_threshold. the LOF score threshold over which the point is an outlier (usually 2)
2
2016-04-21 19:54:21 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:54:21 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:54:21 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:54:21 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:54:21 DEBUG WPS2SM:279 - Conversion to SM Type->PointsTable is a Complex Input
2016-04-21 19:54:21 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:54:21 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:54:21 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:54:21 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:PointsTable
2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=PointsTable, description=Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:54:21 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:54:21 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:54:21 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from PointsTable separated by |
2016-04-21 19:54:21 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:54:21 DEBUG WPS2SM:115 - Machter end: 93
2016-04-21 19:54:21 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:54:21 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: PointsTable
2016-04-21 19:54:21 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from PointsTable separated by | ]
2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->PointsClusterLabel is a Literal Input
2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value: Cluster_
2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:PointsClusterLabel
2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=Cluster_, value=null, name=PointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:Cluster_], typology=OBJECT]
2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->minimal_points_lower_bound is a Literal Input
2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:locality (usually called k): minimal number of nearest neighbors
2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:minimal_points_lower_bound
2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=minimal_points_lower_bound, description=locality (usually called k): minimal number of nearest neighbors [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->minimal_points_upper_bound is a Literal Input
2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:maximum number of nearest neighbors to take into account for outliers evaluation
2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:minimal_points_upper_bound
2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=minimal_points_upper_bound, description=maximum number of nearest neighbors to take into account for outliers evaluation [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->distance_function is a Literal Input
2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value: euclidian distance
2016-04-21 19:54:21 DEBUG WPS2SM:265 - ValueType[]:[euclidian distance, squared distance, cosine distance, inverted cosine distance, angle]
2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:the distance function to use in the calculation
2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:distance_function
2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=distance_function, description=the distance function to use in the calculation [Min N. of Entries:1; Max N. of Entries:1; default:euclidian distance], typology=ENUM]
2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->lof_threshold is a Literal Input
2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:the LOF score threshold over which the point is an outlier (usually 2)
2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:lof_threshold
2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=lof_threshold, description=the LOF score threshold over which the point is an outlier (usually 2) [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:54:21 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=PointsTable, description=Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=Cluster_, value=null, name=PointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:Cluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=minimal_points_lower_bound, description=locality (usually called k): minimal number of nearest neighbors [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=minimal_points_upper_bound, description=maximum number of nearest neighbors to take into account for outliers evaluation [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], Parameter [name=distance_function, description=the distance function to use in the calculation [Min N. of Entries:1; Max N. of Entries:1; default:euclidian distance], typology=ENUM], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=lof_threshold, description=the LOF score threshold over which the point is an outlier (usually 2) [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 19:54:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:54:21 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:54:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:54:21 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:21 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:21 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:21 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:21 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:21 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:21 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:54:21 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:54:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:54:21 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:21 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:21 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:21 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:21 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:21 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:21 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:54:22 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:54:22 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:54:22 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:22 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:22 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:22 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:22 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:22 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:54:22 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:54:22 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:22 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:22 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:22 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:22 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:22 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:54:22 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:22 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:54:22 INFO WorkspaceExplorerServiceImpl:142 - end time - 155 msc 0 sec
2016-04-21 19:54:22 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:54:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:54:23 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 19:54:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:54:25 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 19:54:25 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:54:25 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:54:25 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:54:25 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:54:25 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:54:25 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:54:25 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:54:25 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 19:54:25 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:54:25 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:54:25 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:54:25 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:54:25 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:54:25 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:54:25 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:54:25 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:54:25 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:54:25 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:54:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:54:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:54:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:25 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:54:25 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:54:25 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:54:25 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:54:25 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:54:25 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:54:25 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:54:25 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:54:25 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:54:25 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:54:25 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:54:25 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:54:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:54:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:54:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:25 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:54:25 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:54:25 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:54:25 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:54:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:54:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:54:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:54:25 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 19:54:25 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:54:25 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:54:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 19:54:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 19:54:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:54:25 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:54:25 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:54:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:54:25 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 19:54:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 19:54:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:54:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:54:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 19:54:25 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:54:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:54:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:25 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:54:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:54:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:54:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:54:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:54:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:54:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:54:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:54:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:54:26 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:54:26 INFO WorkspaceExplorerServiceImpl:142 - end time - 143 msc 0 sec
2016-04-21 19:54:26 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:55:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:55:15 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
2016-04-21 19:55:15 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:55:15 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:55:15 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
KMEANS
A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:55:15 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input:
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input:
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input:
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:55:15 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:55:15 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:55:15 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:55:15 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:55:15 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:55:15 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:55:15 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:55:15 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:55:15 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:55:15 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:55:15 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:55:15 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:55:15 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:55:15 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:55:15 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:55:15 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:55:15 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input
2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value: 3
2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters
2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k
2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT]
2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input
2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure
2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs
2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input
2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value: 5
2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps
2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps
2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT]
2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set
2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:55:15 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:55:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:55:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:55:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:55:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:55:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:55:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:55:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:55:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:55:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:55:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:55:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:55:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:55:15 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:55:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:55:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:55:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:55:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:55:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:55:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:55:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:55:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:55:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:55:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:55:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:55:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:15 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:55:15 INFO WorkspaceExplorerServiceImpl:142 - end time - 170 msc 0 sec
2016-04-21 19:55:15 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:55:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:55:18 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:55:19 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:55:19 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 19:55:19 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:55:19 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:55:19 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:55:19 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:55:19 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:55:19 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:55:19 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:55:19 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 19:55:19 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:55:19 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:55:19 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:55:19 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:55:19 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:55:19 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:55:19 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:55:19 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:55:19 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:55:19 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:55:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:55:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:55:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:19 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:55:19 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:55:19 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:55:19 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:55:19 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:55:19 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:55:19 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:55:19 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:55:19 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:55:19 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:55:19 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:55:19 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:55:19 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:55:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:55:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:55:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:19 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:55:19 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:55:19 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:55:19 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:55:19 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:55:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:55:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:55:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:55:19 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 19:55:19 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:55:19 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:55:19 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:55:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 19:55:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 19:55:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:55:19 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:55:19 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:55:19 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:55:19 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 19:55:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 19:55:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:55:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:55:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 19:55:19 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:55:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:55:19 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:55:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:55:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:55:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:55:19 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:55:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:55:19 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:55:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:55:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:55:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:55:19 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:55:19 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:55:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:55:19 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:55:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:55:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:55:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:55:19 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:55:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:55:19 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:55:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:55:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:55:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:55:19 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:55:19 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:55:20 INFO WorkspaceExplorerServiceImpl:142 - end time - 153 msc 0 sec
2016-04-21 19:55:20 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:56:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:56:13 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:57:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:57:08 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:57:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:57:10 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:57:10 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:57:10 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
2016-04-21 19:57:10 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:57:10 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:57:11 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
KMEANS
A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:57:11 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input:
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input:
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input:
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 19:57:11 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:57:11 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:57:11 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:57:11 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:57:11 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:57:11 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:57:11 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:57:11 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:57:11 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:57:11 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:57:11 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:57:11 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:57:11 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:57:11 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:57:11 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:57:11 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:57:11 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input
2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value: 3
2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters
2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k
2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT]
2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input
2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure
2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs
2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input
2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value: 5
2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps
2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps
2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT]
2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set
2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 19:57:11 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:57:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:57:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:57:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:57:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:57:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:57:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 19:57:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:57:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:57:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:57:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:57:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:57:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:57:11 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:57:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:57:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:57:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:57:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:57:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:57:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:57:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:57:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:57:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:57:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:57:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:11 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:57:11 INFO WorkspaceExplorerServiceImpl:142 - end time - 157 msc 0 sec
2016-04-21 19:57:11 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:57:53 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 19:57:53 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 19:57:53 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 19:57:53 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 19:57:53 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 19:57:53 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:57:53 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 19:57:53 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@11c2fbbb
2016-04-21 19:57:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:57:53 INFO ASLSession:352 - Logging the entrance
2016-04-21 19:57:53 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 19:57:53 DEBUG TemplateModel:83 - 2016-04-21 19:57:53, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 19:57:53 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:57:53 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 19:57:53 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 129 ms
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 19:57:53 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 19:57:53 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:57:53 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 19:57:53 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@724f4ed8
2016-04-21 19:57:53 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@25740d8f
2016-04-21 19:57:53 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@667dcf2d
2016-04-21 19:57:53 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@61c51cf8
2016-04-21 19:57:53 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 121 ms
2016-04-21 19:57:54 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 19:57:54 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 19:57:54 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 19:57:54 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:57:54 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 19:57:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:57:54 INFO ASLSession:352 - Logging the entrance
2016-04-21 19:57:54 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 19:57:54 DEBUG TemplateModel:83 - 2016-04-21 19:57:54, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 19:57:54 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:57:54 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 19:57:54 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 19:57:54 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 19:57:54 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 19:57:54 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 19:57:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:57:54 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:57:54 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 19:57:54 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 29 ms
2016-04-21 19:57:54 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 19:57:54 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:57:54 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 19:57:54 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:57:54 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 19:57:54 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 19:57:54 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 19:57:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:57:54 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:57:54 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:57:54 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 19:57:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:57:54 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:57:54 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 19:57:54 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 19:57:54 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 19:57:54 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 19:57:54 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 19:57:54 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 19:57:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 19:57:54 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:57:54 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 19:57:54 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 71 ms
2016-04-21 19:57:54 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 19:57:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:57:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:57:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:57:54 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 19:57:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:57:54 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 19:57:55 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:57:55 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 19:57:55 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 19:57:55 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 19:57:55 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 19:57:55 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 19:57:55 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 19:57:55 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 19:57:55 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 19:57:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:57:55 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:57:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:56 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:56 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 19:57:56 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 19:57:56 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:56 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:56 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:57:56 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:57:56 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:57:56 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:57:56 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:57:56 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:57:56 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:57:56 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 19:57:57 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:57 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:57:57 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:57:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:57:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:57:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:57:57 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:57:57 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:57:57 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 19:57:57 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:57 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:57:57 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:57:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:57:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:57:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:57:57 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:57:57 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 19:57:57 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 19:57:57 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:57 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:58 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 19:57:58 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 19:57:58 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:57:58 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 19:57:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:57:58 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:57:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:57:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:57:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:57:58 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:57:58 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 19:57:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:57:58 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:57:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:57:58 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:57:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:57:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:57:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:57:58 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:57:58 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 19:57:58 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 19:57:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:57:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:57:58 INFO WorkspaceExplorerServiceImpl:188 - end time - 133 msc 0 sec
2016-04-21 19:57:58 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:57:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:57:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 19:57:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 26 ms
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 19:57:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:57:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 19:57:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 26 ms
2016-04-21 19:57:58 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 19:57:58 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 19:57:58 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 19:57:58 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 19:57:58 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 19:57:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 19:57:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 19:57:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:57:58 INFO WorkspaceExplorerServiceImpl:188 - end time - 234 msc 0 sec
2016-04-21 19:57:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 19:57:59 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 19:57:59 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 19:57:59 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 19:57:59 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:57:59 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 19:58:00 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:58:00 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 19:58:00 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 19:58:00 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:58:00 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 19:58:00 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 19:58:00 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 19:58:00 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 19:58:00 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 19:58:00 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 19:58:00 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 19:58:00 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 19:58:00 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 19:58:00 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 19:58:00 DEBUG WPS2SM:201 - Schema: null
2016-04-21 19:58:00 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 19:58:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 19:58:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 19:58:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:58:00 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 19:58:00 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 19:58:00 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:58:00 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:58:00 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 19:58:00 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 19:58:00 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 19:58:00 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 19:58:00 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 19:58:00 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 19:58:00 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 19:58:00 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 19:58:00 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 19:58:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 19:58:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 19:58:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:58:00 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 19:58:00 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 19:58:00 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:58:00 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 19:58:00 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 19:58:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 19:58:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 19:58:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:58:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 19:58:00 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 19:58:00 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:58:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:58:00 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 19:58:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 19:58:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 19:58:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:58:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 19:58:00 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 19:58:00 DEBUG WPS2SM:93 - WPS type:
2016-04-21 19:58:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 19:58:00 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 19:58:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 19:58:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 19:58:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 19:58:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 19:58:00 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:58:00 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:58:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:58:00 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:58:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:58:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:58:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:58:00 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:58:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:58:00 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 19:58:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:58:00 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:58:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:58:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:58:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:58:00 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:58:00 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 19:58:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 19:58:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:58:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 19:58:00 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 19:58:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:58:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:58:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:58:00 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 19:58:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:58:00 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:58:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:58:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:58:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:58:00 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:58:00 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:58:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 19:58:00 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 19:58:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 19:58:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 19:58:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 19:58:00 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 19:58:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:58:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:58:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:58:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:58:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:58:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:58:01 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:58:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 19:58:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:58:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 19:58:01 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 19:58:01 INFO WorkspaceExplorerServiceImpl:142 - end time - 214 msc 0 sec
2016-04-21 19:58:01 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 19:58:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:58:49 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 19:59:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 19:59:44 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:00:06 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:00:06 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
2016-04-21 20:00:06 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:00:06 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:00:06 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
KMEANS
A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 20:00:06 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input:
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input:
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input:
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 20:00:06 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:00:06 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:00:06 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:00:06 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:00:06 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:00:06 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:00:06 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:00:06 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:00:06 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:00:06 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:00:06 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:00:06 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:00:06 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:00:06 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:00:06 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:00:06 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:00:06 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input
2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value: 3
2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters
2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k
2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT]
2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input
2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure
2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs
2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input
2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value: 5
2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps
2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps
2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT]
2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set
2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 20:00:06 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:00:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:00:06 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:00:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:00:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:00:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:00:06 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:00:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:00:06 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:00:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:00:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:00:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:00:06 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:00:06 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:00:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:00:06 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:00:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:00:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:00:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:00:06 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:00:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:00:06 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:00:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:00:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:00:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:00:06 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:00:06 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:00:07 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:00:07 INFO WorkspaceExplorerServiceImpl:142 - end time - 183 msc 0 sec
2016-04-21 20:00:07 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:00:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:00:39 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:01:51 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:01:51 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:01:51 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:01:51 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:01:51 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:01:51 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:01:51 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:01:51 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@126ec933
2016-04-21 20:01:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:01:51 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:01:51 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:01:51 DEBUG TemplateModel:83 - 2016-04-21 20:01:51, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:01:51 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:01:51 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:01:51 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 108 ms
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:01:51 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:01:51 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:01:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:01:51 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@a514560
2016-04-21 20:01:51 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@8743708
2016-04-21 20:01:51 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@c3ac821
2016-04-21 20:01:51 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@1bd3732b
2016-04-21 20:01:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 130 ms
2016-04-21 20:01:52 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:01:52 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:01:52 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:01:52 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:01:52 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:01:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:01:52 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:01:52 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:01:52 DEBUG TemplateModel:83 - 2016-04-21 20:01:52, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:01:52 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:01:52 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:01:52 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:01:52 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:01:52 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:01:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:01:52 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:01:52 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:01:52 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:01:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:01:52 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:01:52 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:01:52 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:01:52 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:01:52 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:01:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:01:52 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:01:52 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:01:52 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:01:52 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:01:52 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:01:52 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:01:52 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:01:52 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:01:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:01:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 24 ms
2016-04-21 20:01:52 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:01:52 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:01:52 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:01:52 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:01:52 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:01:52 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:01:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms
2016-04-21 20:01:52 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:01:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:01:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:01:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:01:52 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:01:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:01:52 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:01:52 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:01:53 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:01:53 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:01:53 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:01:53 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:01:53 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:01:53 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:01:53 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:01:53 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:01:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:53 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:01:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:53 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:01:53 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:01:53 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:01:53 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:01:53 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:01:53 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:01:53 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:01:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:53 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:53 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:01:53 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:01:53 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:01:53 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:01:53 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:01:53 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:01:53 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:01:53 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:01:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:53 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:01:53 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:01:53 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:01:53 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:01:53 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:01:53 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:01:53 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:01:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:55 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:01:55 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:01:55 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:01:55 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:01:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:01:55 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:01:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:01:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:01:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:01:55 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:01:55 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:01:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:01:55 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:01:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:01:55 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:01:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:01:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:01:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:01:55 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:01:55 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:01:55 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:01:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:55 INFO WorkspaceExplorerServiceImpl:188 - end time - 106 msc 0 sec
2016-04-21 20:01:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:55 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:01:55 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:01:55 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:01:55 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:01:55 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:01:55 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:01:55 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 20:01:55 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:01:55 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:01:55 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:01:55 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:01:55 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:01:55 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:01:55 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:01:55 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:01:55 INFO WorkspaceExplorerServiceImpl:188 - end time - 228 msc 0 sec
2016-04-21 20:01:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:01:57 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:01:57 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:01:57 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:01:57 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:01:57 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:01:57 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:01:57 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:01:57 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:01:57 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:01:57 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:01:57 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:01:57 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:01:57 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:01:57 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:01:57 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:01:57 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:01:57 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:01:57 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:01:57 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:01:57 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:01:57 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:01:57 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:01:57 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:01:57 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:01:57 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:01:57 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:01:58 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:01:58 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:01:58 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:01:58 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:01:58 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:01:58 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:01:58 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:01:58 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:01:58 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:01:58 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:01:58 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:01:58 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:01:58 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:01:58 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:01:58 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:01:58 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:01:58 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:01:58 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:01:58 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:01:58 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:01:58 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:01:58 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:01:58 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:01:58 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:01:58 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:01:58 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:01:58 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:01:58 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:01:58 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:01:58 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:01:58 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:01:58 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:01:58 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:01:58 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:01:58 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:01:58 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:01:58 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:01:58 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:01:58 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:01:58 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:01:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:01:58 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:01:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:01:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:01:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:01:58 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:01:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:01:58 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:01:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:01:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:01:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:01:58 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:01:58 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:01:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:01:58 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:01:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:01:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:01:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:01:58 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:01:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:01:58 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:01:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:01:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:01:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:01:58 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:01:58 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:01:58 INFO WorkspaceExplorerServiceImpl:142 - end time - 209 msc 0 sec
2016-04-21 20:01:58 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:02:59 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:02:59 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:02:59 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:02:59 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:02:59 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:02:59 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:02:59 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:02:59 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@3ec43fa
2016-04-21 20:02:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:02:59 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:02:59 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:02:59 DEBUG TemplateModel:83 - 2016-04-21 20:02:59, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:02:59 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:03:00 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:03:00 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 113 ms
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:03:00 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:03:00 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:03:00 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:03:00 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@5c2777bc
2016-04-21 20:03:00 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@4450ba87
2016-04-21 20:03:00 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@4e88cdbf
2016-04-21 20:03:00 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@27fa5dc9
2016-04-21 20:03:00 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 122 ms
2016-04-21 20:03:00 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:03:00 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:03:00 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:03:00 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:03:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:03:00 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:03:00 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:03:00 DEBUG TemplateModel:83 - 2016-04-21 20:03:00, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:03:00 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:03:00 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:03:00 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:03:00 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:03:00 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:03:00 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:03:00 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:03:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:03:00 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:03:00 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:03:00 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:03:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:03:00 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:03:00 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:03:00 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:03:00 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:03:00 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:03:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:03:00 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:03:00 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 27 ms
2016-04-21 20:03:00 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:03:00 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:03:00 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:03:00 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:03:00 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:03:00 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:03:00 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:03:00 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:03:00 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:03:00 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:03:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:03:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:03:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:03:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms
2016-04-21 20:03:01 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:03:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:03:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:03:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:03:01 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:03:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:03:01 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:03:01 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:03:01 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:03:01 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:03:01 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:03:01 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:03:01 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:03:01 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:03:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:03:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:03:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:01 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:03:01 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:03:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:01 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:03:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:03:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:03:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:03:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:03:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:03:01 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:03:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:03:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:03:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:03:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:03:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:03:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:03:01 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:03:02 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:02 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:02 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:03:02 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:03:02 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:03:02 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:03:02 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:03:02 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:03:02 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:03:02 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:03:02 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:02 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:03 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:03:03 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:03:03 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:03:03 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:03:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:03:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:03:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:03:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:03:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:03:03 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:03:03 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:03:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:03:03 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:03:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:03:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:03:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:03:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:03:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:03:03 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:03:03 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:03:03 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:03:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:03 INFO WorkspaceExplorerServiceImpl:188 - end time - 119 msc 0 sec
2016-04-21 20:03:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:03 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:03:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:03:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:03:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 24 ms
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:03:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:03:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:03:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 20:03:03 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:03:03 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:03:03 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:03:03 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:03:03 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:03:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:03:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:03:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:03:03 INFO WorkspaceExplorerServiceImpl:188 - end time - 226 msc 0 sec
2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:03:05 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:03:05 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:03:05 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:03:05 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:03:05 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:03:05 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:03:05 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:03:05 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:03:05 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:03:05 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:03:05 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:03:05 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:03:05 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:03:05 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:03:05 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:03:05 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:03:05 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:03:05 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:03:05 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:03:05 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:03:05 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:03:05 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:03:05 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:03:05 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:03:05 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:03:05 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:03:05 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:03:05 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:03:05 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:03:05 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:03:05 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:03:05 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:03:05 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:03:05 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:03:05 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:03:05 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:03:05 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:03:05 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:03:05 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:03:05 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:03:05 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:03:05 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:03:05 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:03:05 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:03:05 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:03:05 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:03:05 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:03:05 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:03:05 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:03:05 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:03:05 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:03:05 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:03:05 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:03:05 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:03:05 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:03:05 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:03:05 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:03:05 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:03:05 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:03:05 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:03:05 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:03:05 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:03:05 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:03:05 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:03:05 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:03:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:03:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:03:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:03:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:03:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:03:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:03:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:03:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:03:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:03:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:03:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:03:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:03:05 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:03:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:03:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:03:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:03:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:03:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:03:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:03:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:03:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:03:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:03:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:03:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:03:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:03:05 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:03:06 INFO WorkspaceExplorerServiceImpl:142 - end time - 176 msc 0 sec
2016-04-21 20:03:06 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:03:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:03:55 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:04:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:04:50 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:05:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:05:45 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:06:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:06:40 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:07:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:07:35 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:08:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:08:30 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:09:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:09:25 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:10:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:10:20 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:11:25 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:11:25 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:11:25 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:11:25 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:11:25 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:11:25 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:11:25 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:11:25 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@254309ab
2016-04-21 20:11:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:11:25 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:11:25 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:11:25 DEBUG TemplateModel:83 - 2016-04-21 20:11:25, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:11:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:11:25 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:11:25 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:11:25 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:11:25 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:11:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:11:25 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:11:25 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:11:25 DEBUG TemplateModel:83 - 2016-04-21 20:11:25, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:11:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:11:25 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:11:25 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:11:25 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:11:25 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:11:25 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:11:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:11:25 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:11:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:11:25 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:11:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:11:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:11:26 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:11:26 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:11:26 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:11:26 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:11:26 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 127 ms
2016-04-21 20:11:26 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:11:26 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:11:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:11:26 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:11:26 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:11:26 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:11:26 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:11:26 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:11:26 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@14b8c949
2016-04-21 20:11:26 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@13dc078b
2016-04-21 20:11:26 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@6de87266
2016-04-21 20:11:26 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@50bec528
2016-04-21 20:11:26 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 115 ms
2016-04-21 20:11:26 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 113 ms
2016-04-21 20:11:26 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:11:26 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:11:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:11:26 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:11:26 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:11:26 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:11:26 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:11:26 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:11:26 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:11:26 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:11:26 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:11:26 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:11:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:11:26 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:11:26 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:11:26 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 31 ms
2016-04-21 20:11:26 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:11:26 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:11:26 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:11:26 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:11:27 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:11:27 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:11:27 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:11:27 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:11:27 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:11:27 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:11:27 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:11:27 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:11:27 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:11:27 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:27 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:27 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:11:27 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:11:27 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:11:28 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:28 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:11:28 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:11:28 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:11:28 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:11:28 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:11:28 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:11:28 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:11:28 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:28 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:11:28 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:11:28 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:11:28 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:11:28 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:11:28 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:11:28 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:11:28 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:28 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:11:28 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:11:28 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:11:28 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:11:28 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:11:28 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:11:28 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:11:28 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:30 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:11:30 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:11:30 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:11:30 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:11:30 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:11:30 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:11:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:11:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:11:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:11:30 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:11:30 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:11:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:11:30 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:11:30 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:11:30 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:11:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:11:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:11:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:11:30 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:11:30 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:11:30 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:11:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:30 INFO WorkspaceExplorerServiceImpl:188 - end time - 116 msc 0 sec
2016-04-21 20:11:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:30 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:11:30 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:11:30 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:11:30 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 26 ms
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:11:30 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:11:30 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:11:30 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 20:11:30 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:11:30 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:11:30 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:11:30 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:11:30 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:11:30 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:11:30 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:11:30 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:11:30 INFO WorkspaceExplorerServiceImpl:188 - end time - 237 msc 0 sec
2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:11:30 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:11:30 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:11:30 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:11:30 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:11:30 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:11:31 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:11:31 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:11:31 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:11:31 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:11:31 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:11:31 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:11:31 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:11:31 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:11:31 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:11:31 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:11:31 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:11:31 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:11:31 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:11:31 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:11:31 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:11:31 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:11:31 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:11:31 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:11:31 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:11:31 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:11:31 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:11:31 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:11:31 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:11:31 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:11:31 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:11:31 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:11:31 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:11:31 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:11:31 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:11:31 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:11:31 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:11:31 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:11:31 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:11:31 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:11:31 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:11:31 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:11:31 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:11:31 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:11:31 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:11:31 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:11:31 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:11:31 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:11:31 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:11:31 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:11:31 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:11:31 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:11:31 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:11:31 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:11:31 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:11:31 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:11:31 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:11:31 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:11:31 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:11:31 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:11:31 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:11:31 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:11:31 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:11:31 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:11:31 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:11:31 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:11:31 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:11:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:11:31 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:11:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:11:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:11:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:11:31 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:11:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:11:31 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:11:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:11:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:11:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:11:31 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:11:31 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:11:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:11:31 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:11:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:11:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:11:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:11:31 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:11:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:11:31 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:11:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:11:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:11:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:11:31 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:11:31 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:11:31 INFO WorkspaceExplorerServiceImpl:142 - end time - 233 msc 0 sec
2016-04-21 20:11:31 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:12:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:12:20 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:13:36 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:13:36 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:13:36 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:13:36 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:13:36 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:13:36 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:13:36 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:13:36 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@1bc51f4e
2016-04-21 20:13:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:13:36 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:13:36 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:13:36 DEBUG TemplateModel:83 - 2016-04-21 20:13:36, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:13:36 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:13:36 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:13:37 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 135 ms
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:13:37 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:13:37 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:13:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:13:37 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@25599024
2016-04-21 20:13:37 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@28dccbf9
2016-04-21 20:13:37 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@67dfbbaf
2016-04-21 20:13:37 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@82f6d1d
2016-04-21 20:13:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 115 ms
2016-04-21 20:13:37 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:13:37 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:13:37 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:13:37 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:13:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:13:37 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:13:37 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:13:37 DEBUG TemplateModel:83 - 2016-04-21 20:13:37, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:13:37 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:13:37 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:13:37 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:13:37 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:13:37 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:13:37 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:13:37 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:13:37 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:13:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:13:37 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:13:37 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:13:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:13:37 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:13:37 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:13:37 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:13:37 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:13:37 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:13:37 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:13:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:13:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 17 ms
2016-04-21 20:13:37 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:13:37 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:13:37 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:13:37 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:13:37 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:13:37 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:13:37 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:13:37 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:13:37 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:13:37 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:13:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36
2016-04-21 20:13:38 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:13:38 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:13:38 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 47 ms
2016-04-21 20:13:38 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:13:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:13:38 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:13:38 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:13:38 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:13:38 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:13:38 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:13:38 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:13:38 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:13:38 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:13:38 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:13:38 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:13:38 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:13:38 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:13:38 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:13:38 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:13:38 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:38 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:38 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:13:38 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:13:38 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:38 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:38 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:13:38 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:13:38 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:13:38 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:13:38 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:13:38 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:13:38 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:13:38 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:13:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:39 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:13:39 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:13:39 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:13:39 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:13:39 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:13:39 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:13:39 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:13:39 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:13:39 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:13:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:13:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:39 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:13:39 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:13:39 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:13:39 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:13:39 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:13:39 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:13:39 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:13:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:13:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:40 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:13:40 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:13:40 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:13:40 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:13:40 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:13:40 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:13:40 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:13:40 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:13:40 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:13:40 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:13:40 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:13:40 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:13:40 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:13:40 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:13:40 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:13:40 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:13:40 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:13:40 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:13:40 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:13:40 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:13:40 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:13:40 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:40 INFO WorkspaceExplorerServiceImpl:188 - end time - 112 msc 0 sec
2016-04-21 20:13:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:40 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:13:40 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:13:40 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:13:40 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:13:40 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:13:40 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:13:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 20 ms
2016-04-21 20:13:41 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:13:41 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:13:41 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:13:41 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:13:41 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:13:41 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:13:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:13:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms
2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:13:41 INFO WorkspaceExplorerServiceImpl:188 - end time - 224 msc 0 sec
2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:13:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:13:43 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:13:43 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:13:43 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:13:43 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:13:43 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:13:43 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:13:43 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:13:43 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:13:43 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:13:43 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:13:43 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:13:43 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:13:43 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:13:43 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:13:43 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:13:43 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:13:43 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:13:43 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:13:43 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:13:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:13:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:13:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:13:43 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:13:43 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:13:43 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:13:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:13:43 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:13:43 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:13:43 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:13:43 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:13:43 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:13:43 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:13:43 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:13:43 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:13:43 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:13:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:13:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:13:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:13:43 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:13:43 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:13:43 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:13:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:13:43 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:13:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:13:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:13:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:13:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:13:43 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:13:43 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:13:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:13:43 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:13:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:13:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:13:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:13:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:13:43 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:13:43 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:13:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:13:43 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:13:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:13:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:13:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:13:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:13:43 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:13:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:13:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:13:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:13:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:13:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:13:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:13:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:13:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:13:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:13:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:13:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:13:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:13:43 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:13:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:13:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:13:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:13:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:13:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:13:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:13:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:13:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:13:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:13:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:13:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:13:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:13:43 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:13:43 INFO WorkspaceExplorerServiceImpl:142 - end time - 194 msc 0 sec
2016-04-21 20:13:43 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:14:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:14:32 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:15:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:15:27 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:16:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:16:22 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:17:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:17:17 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:18:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:18:12 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:19:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:19:07 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:20:10 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:20:10 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:20:10 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:20:10 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:20:10 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:20:10 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:20:10 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:20:10 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@6edb7a65
2016-04-21 20:20:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:20:10 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:20:10 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:20:10 DEBUG TemplateModel:83 - 2016-04-21 20:20:10, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:20:10 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:20:10 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:20:10 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 125 ms
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:20:10 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:20:10 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:20:10 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:20:10 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@264d1dda
2016-04-21 20:20:10 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@531e286a
2016-04-21 20:20:10 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@6ae8f764
2016-04-21 20:20:10 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@6d4d77d7
2016-04-21 20:20:10 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 111 ms
2016-04-21 20:20:10 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:20:10 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:20:10 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:20:10 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:20:10 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:20:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:20:10 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:20:10 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:20:10 DEBUG TemplateModel:83 - 2016-04-21 20:20:10, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:20:10 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:20:10 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:20:10 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:20:10 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:20:10 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:20:10 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:20:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:20:10 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:20:10 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:20:10 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 16 ms
2016-04-21 20:20:10 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:20:10 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:20:10 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:20:11 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:20:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:20:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:20:11 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:20:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:20:11 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:20:11 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:20:11 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:20:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:20:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:20:11 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:20:11 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:20:11 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:20:11 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:20:11 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:20:11 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:20:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:20:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:20:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:20:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 19 ms
2016-04-21 20:20:11 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:20:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:20:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:20:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:20:11 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:20:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:20:11 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:20:11 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:20:11 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:20:11 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:20:11 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:20:11 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:20:11 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:20:11 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:20:11 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:20:11 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:20:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:20:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:20:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:12 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:20:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:20:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:20:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:20:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:20:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:20:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:20:12 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:20:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:20:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:20:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:20:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:20:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:20:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:20:12 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:20:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:20:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:20:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:20:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:20:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:20:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:20:12 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:20:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:13 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:20:13 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:20:13 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:20:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:20:13 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:20:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:20:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:20:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:20:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:20:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:20:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:20:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:20:13 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:20:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:20:13 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:20:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:20:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:20:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:20:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:20:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:20:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:20:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:20:13 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:20:13 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:20:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:13 INFO WorkspaceExplorerServiceImpl:188 - end time - 107 msc 0 sec
2016-04-21 20:20:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:14 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:20:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:20:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:20:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms
2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:20:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:20:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:20:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 20:20:14 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:20:14 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:20:14 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:20:14 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:20:14 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:20:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:20:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:20:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:20:14 INFO WorkspaceExplorerServiceImpl:188 - end time - 241 msc 0 sec
2016-04-21 20:20:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:20:15 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:20:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:20:15 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:20:15 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:20:15 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:20:15 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:20:15 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:20:15 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:20:15 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:20:15 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:20:15 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:20:15 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:20:15 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:20:15 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:20:15 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:20:15 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:20:15 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:20:15 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:20:15 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:20:15 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:20:15 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:20:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:20:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:20:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:20:15 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:20:15 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:20:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:20:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:20:15 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:20:15 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:20:15 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:20:15 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:20:15 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:20:15 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:20:15 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:20:15 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:20:15 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:20:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:20:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:20:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:20:15 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:20:15 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:20:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:20:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:20:15 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:20:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:20:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:20:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:20:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:20:15 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:20:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:20:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:20:15 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:20:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:20:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:20:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:20:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:20:15 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:20:15 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:20:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:20:15 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:20:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:20:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:20:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:20:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:20:15 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:20:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:20:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:20:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:20:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:20:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:20:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:20:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:20:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:20:16 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:20:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:20:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:20:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:20:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:20:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:20:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:20:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:20:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:20:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:20:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:20:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:20:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:20:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:20:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:20:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:20:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:20:16 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:20:16 INFO WorkspaceExplorerServiceImpl:142 - end time - 219 msc 0 sec
2016-04-21 20:20:16 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:21:02 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:21:02 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:21:02 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:21:02 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:21:02 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:21:02 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:21:02 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:21:02 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@2cdd10f7
2016-04-21 20:21:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:21:02 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:21:02 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:21:02 DEBUG TemplateModel:83 - 2016-04-21 20:21:02, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:21:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:21:03 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:21:03 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 133 ms
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:21:03 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:21:03 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:21:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:21:03 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@3fa46cdb
2016-04-21 20:21:03 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@7af093e1
2016-04-21 20:21:03 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@2b93088
2016-04-21 20:21:03 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@27f52f4c
2016-04-21 20:21:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 96 ms
2016-04-21 20:21:03 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:21:03 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:21:03 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:21:03 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:21:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:21:03 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:21:03 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:21:03 DEBUG TemplateModel:83 - 2016-04-21 20:21:03, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:21:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:21:03 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:21:03 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:21:03 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:21:03 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:21:03 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:21:03 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:21:03 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:21:03 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:21:03 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:21:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:21:03 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:21:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:21:03 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:21:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:21:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:21:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:21:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:21:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:21:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 23 ms
2016-04-21 20:21:04 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:21:04 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:21:04 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:21:04 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:21:04 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:21:04 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:21:04 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:21:04 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:21:04 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:21:04 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:21:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:21:04 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:21:04 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:21:04 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms
2016-04-21 20:21:04 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:21:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:21:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:21:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:21:04 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:21:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:21:04 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:21:04 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:21:04 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:21:04 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:21:04 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:21:04 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:21:04 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:21:04 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:21:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:21:04 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:21:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:04 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:21:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:21:04 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:21:04 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:21:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:04 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:21:04 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:21:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:21:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:21:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:21:04 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:21:04 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:21:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:21:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:04 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:21:04 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:21:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:21:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:21:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:21:04 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:21:04 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:21:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:21:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:21:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:21:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:21:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:21:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:21:05 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:21:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:05 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:21:05 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:21:05 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:21:05 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:21:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:21:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:21:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:21:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:21:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:21:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:21:05 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:21:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:21:05 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:21:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:21:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:21:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:21:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:21:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:21:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:21:05 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:21:05 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:21:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:05 INFO WorkspaceExplorerServiceImpl:188 - end time - 156 msc 0 sec
2016-04-21 20:21:05 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:21:05 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:21:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:21:05 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:21:05 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:21:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:21:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 28 ms
2016-04-21 20:21:06 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:21:06 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:21:06 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:21:06 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:21:06 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:21:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:21:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:21:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 25 ms
2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:21:06 INFO WorkspaceExplorerServiceImpl:188 - end time - 249 msc 0 sec
2016-04-21 20:21:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:21:08 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:21:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:21:08 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:21:08 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:21:08 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:21:09 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:21:09 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:21:09 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:21:09 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:21:09 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:21:09 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:21:09 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:21:09 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:21:09 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:21:09 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:21:09 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:21:09 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:21:09 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:21:09 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:21:09 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:21:09 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:21:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:21:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:21:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:21:09 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:21:09 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:21:09 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:21:09 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:21:09 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:21:09 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:21:09 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:21:09 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:21:09 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:21:09 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:21:09 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:21:09 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:21:09 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:21:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:21:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:21:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:21:09 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:21:09 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:21:09 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:21:09 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:21:09 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:21:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:21:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:21:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:21:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:21:09 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:21:09 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:21:09 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:21:09 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:21:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:21:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:21:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:21:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:21:09 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:21:09 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:21:09 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:21:09 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:21:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:21:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:21:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:21:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:21:09 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:21:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:21:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:21:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:21:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:21:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:21:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:21:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:21:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:21:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:21:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:21:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:21:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:21:09 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:21:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:21:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:21:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:21:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:21:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:21:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:21:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:21:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:21:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:21:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:21:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:21:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:21:09 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:21:09 INFO WorkspaceExplorerServiceImpl:142 - end time - 204 msc 0 sec
2016-04-21 20:21:09 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:22:13 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:22:13 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:22:13 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:22:13 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:22:13 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:22:13 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:22:13 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:22:13 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@3b203bbd
2016-04-21 20:22:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:22:13 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:22:13 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:22:13 DEBUG TemplateModel:83 - 2016-04-21 20:22:13, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:22:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:22:13 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:22:13 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 115 ms
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:22:13 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:22:13 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:22:13 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:22:13 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@1df13462
2016-04-21 20:22:13 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@4c38e964
2016-04-21 20:22:13 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@1812578a
2016-04-21 20:22:13 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@51f43b12
2016-04-21 20:22:13 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 115 ms
2016-04-21 20:22:13 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:22:13 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:22:13 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:22:13 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:22:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:22:13 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:22:13 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:22:13 DEBUG TemplateModel:83 - 2016-04-21 20:22:13, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:22:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:22:13 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:22:14 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:22:14 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:22:14 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:22:14 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:22:14 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:22:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:22:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:22:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:22:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 19 ms
2016-04-21 20:22:14 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:22:14 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:22:14 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:22:14 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:22:14 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:22:14 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:22:14 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:22:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:22:14 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:22:14 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:22:14 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:22:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:22:14 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:22:14 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:22:14 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:22:14 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:22:14 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:22:14 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:22:14 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:22:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:22:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:22:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:22:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms
2016-04-21 20:22:14 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:22:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:22:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:22:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:22:14 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:22:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:22:14 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:22:14 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:22:14 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:22:14 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:22:14 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:22:14 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:22:15 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:22:15 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:22:15 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:22:15 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:22:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:22:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:22:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:15 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:22:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:22:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:22:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:22:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:22:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:22:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:22:15 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:22:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:22:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:22:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:22:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:22:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:22:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:22:15 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:22:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:22:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:22:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:22:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:22:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:22:15 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:22:15 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:22:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:16 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:22:16 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:22:16 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:22:16 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:22:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:22:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:22:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:22:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:22:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:22:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:22:16 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:22:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:22:16 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:22:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:22:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:22:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:22:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:22:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:22:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:22:16 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:22:16 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:22:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:16 INFO WorkspaceExplorerServiceImpl:188 - end time - 146 msc 0 sec
2016-04-21 20:22:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:16 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:22:16 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:22:16 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:22:16 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:22:16 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:22:16 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:22:16 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 20:22:16 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:22:16 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:22:16 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:22:16 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:22:16 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:22:16 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:22:16 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:22:16 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:22:16 INFO WorkspaceExplorerServiceImpl:188 - end time - 235 msc 0 sec
2016-04-21 20:22:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:22:19 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:22:19 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:22:19 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:22:19 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:22:19 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:22:19 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:22:19 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:22:19 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:22:19 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:22:19 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:22:19 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:22:19 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:22:19 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:22:19 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:22:19 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:22:19 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:22:19 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:22:19 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:22:19 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:22:19 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:22:19 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:22:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:22:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:22:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:22:19 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:22:19 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:22:19 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:22:19 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:22:19 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:22:19 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:22:19 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:22:19 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:22:19 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:22:19 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:22:19 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:22:19 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:22:19 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:22:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:22:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:22:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:22:19 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:22:19 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:22:19 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:22:19 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:22:19 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:22:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:22:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:22:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:22:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:22:19 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:22:19 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:22:19 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:22:19 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:22:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:22:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:22:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:22:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:22:19 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:22:19 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:22:19 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:22:19 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:22:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:22:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:22:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:22:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:22:19 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:22:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:22:19 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:22:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:22:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:22:19 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:22:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:22:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:22:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:22:19 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:22:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:22:19 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:22:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:22:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:22:19 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:22:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:22:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:22:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:22:19 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:22:19 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:22:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:22:20 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:22:20 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:22:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:22:20 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:22:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:22:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:22:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:22:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:22:20 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:22:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:22:20 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:22:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:22:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:22:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:22:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:22:20 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:22:20 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:22:20 INFO WorkspaceExplorerServiceImpl:142 - end time - 225 msc 0 sec
2016-04-21 20:22:20 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:23:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:23:09 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:24:07 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:24:07 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:24:07 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:24:07 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:24:07 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:24:07 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:24:07 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:24:07 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@1673bfca
2016-04-21 20:24:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:24:07 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:24:07 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:24:07 DEBUG TemplateModel:83 - 2016-04-21 20:24:07, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:24:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:24:07 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:24:07 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 129 ms
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:24:07 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:24:07 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:24:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:24:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@78f2a737
2016-04-21 20:24:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@4ce1b9f7
2016-04-21 20:24:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@61e529fa
2016-04-21 20:24:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@6921151a
2016-04-21 20:24:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 102 ms
2016-04-21 20:24:08 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:24:08 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:24:08 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 20:24:08 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:24:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:24:08 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:24:08 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:24:08 DEBUG TemplateModel:83 - 2016-04-21 20:24:08, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:24:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:24:08 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:24:08 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:24:08 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:24:08 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:24:08 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:24:08 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:24:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:24:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:24:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:24:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 26 ms
2016-04-21 20:24:08 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:24:08 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:24:08 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:24:08 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:24:08 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:24:08 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:24:08 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:24:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:24:08 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:24:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:24:08 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:24:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:24:08 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:24:08 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:24:08 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:24:08 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:24:08 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:24:08 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:24:08 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:24:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:24:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:24:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:24:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms
2016-04-21 20:24:08 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:24:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:24:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:24:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:24:08 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:24:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:24:08 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:24:09 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:24:09 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:24:09 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:24:09 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:24:09 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:24:09 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:24:09 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:24:09 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:24:09 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:24:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:24:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:24:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:09 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:24:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:24:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:24:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:24:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:24:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:24:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:24:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:24:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:24:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:24:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:24:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:24:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:24:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:24:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:24:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:24:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:24:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:24:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:24:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:24:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:24:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:24:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:24:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:24:11 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:24:11 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:24:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:24:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:24:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:24:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:24:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:24:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:24:11 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:24:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:24:11 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:24:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:24:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:24:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:24:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:24:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:24:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:24:11 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:24:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:11 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:24:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 215 msc 0 sec
2016-04-21 20:24:11 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:24:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:24:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:24:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 28 ms
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:24:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:24:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:24:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms
2016-04-21 20:24:11 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:24:11 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:24:11 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:24:11 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:24:11 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:24:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:24:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:24:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:24:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 339 msc 0 sec
2016-04-21 20:24:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:24:12 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:24:12 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:24:12 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:24:12 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:24:12 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:24:13 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:24:13 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:24:13 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:24:13 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:24:13 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:24:13 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:24:13 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:24:13 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:24:13 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:24:13 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:24:13 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:24:13 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:24:13 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:24:13 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:24:13 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:24:13 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:24:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:24:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:24:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:24:13 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:24:13 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:24:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:24:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:24:13 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:24:13 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:24:13 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:24:13 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:24:13 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:24:13 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:24:13 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:24:13 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:24:13 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:24:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:24:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:24:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:24:13 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:24:13 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:24:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:24:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:24:13 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:24:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:24:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:24:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:24:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:24:13 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:24:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:24:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:24:13 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:24:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:24:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:24:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:24:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:24:13 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:24:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:24:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:24:13 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:24:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:24:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:24:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:24:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:24:13 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:24:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:24:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:24:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:24:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:24:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:24:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:24:13 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:24:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:24:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:24:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:24:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:24:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:24:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:24:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:24:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:24:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:24:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:24:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:24:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:24:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:24:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:24:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:24:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:24:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:24:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:24:13 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:24:13 INFO WorkspaceExplorerServiceImpl:142 - end time - 200 msc 0 sec
2016-04-21 20:24:13 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:25:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:25:03 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:25:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:25:58 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:26:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:26:53 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:27:57 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:27:57 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:27:57 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:27:57 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:27:57 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:27:57 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:27:57 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:27:57 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@3f6f1dae
2016-04-21 20:27:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:27:57 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:27:57 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:27:57 DEBUG TemplateModel:83 - 2016-04-21 20:27:57, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:27:57 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:27:57 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:27:57 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 135 ms
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:27:57 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:27:57 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:27:57 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:27:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@3c2efaeb
2016-04-21 20:27:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@9d9f02d
2016-04-21 20:27:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@4e913a8d
2016-04-21 20:27:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@43df2c2
2016-04-21 20:27:57 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 144 ms
2016-04-21 20:27:57 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:27:57 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:27:57 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:27:57 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:27:57 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:27:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:27:57 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:27:57 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:27:57 DEBUG TemplateModel:83 - 2016-04-21 20:27:57, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:27:57 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:27:57 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:27:57 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:27:57 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:27:58 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:27:58 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:27:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:27:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:27:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:27:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 21 ms
2016-04-21 20:27:58 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:27:58 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:27:58 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:27:58 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:27:58 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:27:58 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:27:58 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:27:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:27:58 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:27:58 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:27:58 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:27:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:27:58 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:27:58 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:27:58 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:27:58 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:27:58 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:27:58 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:27:58 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:27:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36
2016-04-21 20:27:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:27:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:27:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms
2016-04-21 20:27:58 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:27:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:27:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:27:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:27:58 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:27:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:27:58 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:27:58 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:27:58 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:27:58 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:27:59 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:27:59 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:27:59 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:27:59 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:27:59 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:27:59 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:27:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:27:59 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:27:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:27:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:27:59 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:27:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:27:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:27:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:27:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:27:59 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:27:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:27:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:27:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:27:59 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:27:59 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:27:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:27:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:27:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:27:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:27:59 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:27:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:27:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:27:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:27:59 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:27:59 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:28:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:28:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:28:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:28:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:28:00 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:28:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:28:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:28:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:28:00 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:28:00 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:28:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:28:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:28:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:28:01 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:28:01 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:28:01 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:28:01 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:28:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:28:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:28:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:28:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:28:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:28:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:28:01 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:28:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:28:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:28:01 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:28:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:28:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:28:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:28:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:28:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:28:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:28:01 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:28:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:28:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:28:01 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:28:01 INFO WorkspaceExplorerServiceImpl:188 - end time - 124 msc 0 sec
2016-04-21 20:28:01 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:28:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:28:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:28:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 31 ms
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:28:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:28:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:28:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 19 ms
2016-04-21 20:28:01 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:28:01 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:28:01 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:28:01 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:28:01 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:28:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:28:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:28:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 22 ms
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:28:01 INFO WorkspaceExplorerServiceImpl:188 - end time - 255 msc 0 sec
2016-04-21 20:28:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:28:02 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:28:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:28:02 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:28:02 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:28:02 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:28:02 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:28:02 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:28:02 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:28:02 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:28:02 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:28:02 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:28:02 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:28:02 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:28:02 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:28:02 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:28:02 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:28:02 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:28:02 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:28:02 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:28:02 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:28:02 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:28:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:28:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:28:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:28:02 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:28:02 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:28:02 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:28:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:28:02 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:28:02 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:28:02 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:28:02 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:28:02 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:28:02 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:28:02 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:28:02 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:28:02 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:28:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:28:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:28:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:28:02 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:28:02 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:28:02 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:28:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:28:02 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:28:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:28:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:28:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:28:02 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:28:02 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:28:02 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:28:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:28:02 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:28:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:28:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:28:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:28:02 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:28:02 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:28:02 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:28:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:28:02 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:28:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:28:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:28:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:28:02 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:28:02 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:28:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:28:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:28:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:28:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:28:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:28:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:28:03 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:28:03 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:28:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:28:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:28:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:28:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:28:03 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:28:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:28:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:28:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:28:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:28:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:28:03 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:28:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:28:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:28:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:28:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:28:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:28:03 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:28:03 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:28:03 INFO WorkspaceExplorerServiceImpl:142 - end time - 191 msc 0 sec
2016-04-21 20:28:03 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:28:53 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:30:07 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:30:07 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:30:07 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:30:07 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:30:07 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:30:07 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:30:07 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:30:07 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@12ed3e28
2016-04-21 20:30:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:30:07 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:30:07 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:30:07 DEBUG TemplateModel:83 - 2016-04-21 20:30:07, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:30:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:30:07 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:30:07 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 131 ms
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:30:07 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:30:07 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:30:07 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:30:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@795244c6
2016-04-21 20:30:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@510fb8fa
2016-04-21 20:30:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@228b0809
2016-04-21 20:30:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@2390c9f3
2016-04-21 20:30:07 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 104 ms
2016-04-21 20:30:08 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:30:08 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:30:08 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:30:08 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:30:08 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:30:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:30:08 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:30:08 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:30:08 DEBUG TemplateModel:83 - 2016-04-21 20:30:08, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:30:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:30:08 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:30:08 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:30:08 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:30:08 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:30:08 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:30:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:30:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:30:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:30:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 19 ms
2016-04-21 20:30:08 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:30:08 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:30:08 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:30:08 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:30:08 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:30:08 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:30:08 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:30:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:30:08 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:30:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:30:08 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:30:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:30:08 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:30:08 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:30:08 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:30:08 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:30:08 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:30:08 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:30:08 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:30:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:30:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:30:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:30:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 18 ms
2016-04-21 20:30:08 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:30:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:30:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:30:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:30:08 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:30:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:30:08 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:30:08 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:30:08 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:30:09 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:30:09 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:30:09 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:30:09 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:30:09 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:30:09 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:30:09 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:30:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:30:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:30:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:09 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:30:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:30:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:30:10 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:30:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:30:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:30:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:30:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:30:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:30:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:30:10 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:30:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:30:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:30:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:30:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:30:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:30:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:30:10 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:30:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:30:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:30:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:30:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:30:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:30:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:30:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:30:11 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:30:11 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:30:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:30:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:30:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:30:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:30:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:30:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:30:11 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:30:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:30:11 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:30:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:30:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:30:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:30:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:30:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:30:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:30:11 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:30:11 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:30:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 118 msc 0 sec
2016-04-21 20:30:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:11 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:30:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:30:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:30:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 29 ms
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:30:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:30:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:30:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 20:30:11 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:30:11 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:30:11 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:30:11 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:30:11 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:30:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:30:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:30:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:30:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 345 msc 0 sec
2016-04-21 20:30:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:30:13 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:30:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:30:13 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:30:13 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:30:13 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:30:14 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:30:14 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:30:14 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:30:14 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:30:14 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:30:14 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:30:14 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:30:14 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:30:14 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:30:14 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:30:14 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:30:14 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:30:14 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:30:14 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:30:14 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:30:14 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:30:14 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:30:14 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:30:14 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:30:14 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:30:14 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:30:14 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:30:14 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:30:14 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:30:14 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:30:14 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:30:14 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:30:14 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:30:14 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:30:14 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:30:14 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:30:14 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:30:14 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:30:14 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:30:14 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:30:14 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:30:14 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:30:14 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:30:14 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:30:14 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:30:14 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:30:14 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:30:14 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:30:14 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:30:14 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:30:14 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:30:14 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:30:14 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:30:14 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:30:14 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:30:14 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:30:14 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:30:14 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:30:14 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:30:14 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:30:14 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:30:14 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:30:14 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:30:14 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:30:14 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:30:14 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:30:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:30:14 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:30:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:30:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:30:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:30:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:30:14 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:30:14 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:30:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:30:14 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:30:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:30:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:30:14 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:30:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:30:14 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:30:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:30:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:30:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:30:14 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:30:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:30:14 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:30:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:30:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:30:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:30:14 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:30:14 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:30:14 INFO WorkspaceExplorerServiceImpl:142 - end time - 217 msc 0 sec
2016-04-21 20:30:14 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:31:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:31:03 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:31:37 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:31:37 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:31:37 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:31:37 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:31:37 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:31:37 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:31:37 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:31:37 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@78147f9e
2016-04-21 20:31:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:31:37 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:31:37 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:31:37 DEBUG TemplateModel:83 - 2016-04-21 20:31:37, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:31:37 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:31:37 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:31:38 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 125 ms
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:31:38 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:31:38 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:31:38 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:31:38 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@2e26055f
2016-04-21 20:31:38 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@3a37c9fb
2016-04-21 20:31:38 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@4145a380
2016-04-21 20:31:38 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@68050d39
2016-04-21 20:31:38 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 115 ms
2016-04-21 20:31:38 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:31:38 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:31:38 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:31:38 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:31:38 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:31:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:31:38 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:31:38 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:31:38 DEBUG TemplateModel:83 - 2016-04-21 20:31:38, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:31:38 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:31:38 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:31:38 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:31:38 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:31:38 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:31:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:31:38 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:31:38 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:31:38 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:31:38 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:31:38 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:31:38 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:31:38 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:31:38 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:31:38 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:31:38 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:31:38 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:31:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:31:39 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:31:39 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:31:39 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 27 ms
2016-04-21 20:31:39 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:31:39 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:31:39 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:31:39 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:31:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:31:39 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:31:39 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:31:39 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 23 ms
2016-04-21 20:31:39 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:31:39 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:31:39 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:31:39 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:31:39 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:31:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:31:39 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:31:39 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:31:39 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:31:39 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:31:39 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:31:39 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:31:39 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:31:39 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:31:39 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:31:39 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:31:39 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:31:39 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:31:39 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:31:39 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:31:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:39 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:31:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:31:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:39 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:31:39 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:31:39 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:31:39 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:31:39 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:31:39 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:31:39 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:31:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:31:39 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:31:39 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:31:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:40 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:31:40 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:31:40 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:31:40 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:31:40 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:31:40 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:31:40 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:31:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:31:40 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:40 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:31:40 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:31:40 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:31:40 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:31:40 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:31:40 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:31:40 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:31:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:31:40 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:41 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:31:41 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:31:41 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:31:41 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:31:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:31:41 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:31:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:31:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:31:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:31:41 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:31:41 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:31:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:31:41 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:31:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:31:41 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:31:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:31:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:31:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:31:41 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:31:41 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:31:41 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:31:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:41 INFO WorkspaceExplorerServiceImpl:188 - end time - 114 msc 0 sec
2016-04-21 20:31:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:41 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:31:41 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:31:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:31:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 26 ms
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29
2016-04-21 20:31:41 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:31:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:31:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 21 ms
2016-04-21 20:31:41 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:31:41 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:31:41 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:31:41 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29
2016-04-21 20:31:41 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29
2016-04-21 20:31:41 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:31:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:31:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29
2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:31:42 INFO WorkspaceExplorerServiceImpl:188 - end time - 243 msc 0 sec
2016-04-21 20:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:31:43 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:31:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:31:43 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:31:43 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:31:43 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:31:43 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:31:43 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:31:43 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:31:43 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:31:43 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:31:43 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:31:43 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:31:43 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:31:43 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:31:43 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:31:43 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:31:43 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:31:43 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:31:43 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:31:43 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:31:43 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:31:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:31:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:31:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:31:43 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:31:43 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:31:43 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:31:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:31:43 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:31:43 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:31:43 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:31:43 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:31:43 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:31:43 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:31:43 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:31:43 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:31:43 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:31:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:31:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:31:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:31:43 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:31:43 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:31:43 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:31:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:31:43 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:31:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:31:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:31:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:31:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:31:43 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:31:43 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:31:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:31:43 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:31:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:31:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:31:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:31:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:31:43 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:31:43 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:31:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:31:43 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:31:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:31:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:31:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:31:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:31:43 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:31:43 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 20:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:31:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:31:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:31:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:31:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:31:43 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:31:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:31:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:31:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:31:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:31:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:31:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:31:43 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:31:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:31:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:31:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:31:44 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:31:44 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:31:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:31:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:31:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:31:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:31:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:31:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:31:44 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:31:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:31:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:31:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:31:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:31:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:31:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:31:44 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:31:44 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:31:44 INFO WorkspaceExplorerServiceImpl:142 - end time - 216 msc 0 sec
2016-04-21 20:31:44 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:32:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:32:33 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:33:31 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:33:31 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:33:31 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:33:31 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:33:31 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:33:31 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:33:31 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:33:31 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@3852930d
2016-04-21 20:33:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:33:31 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:33:31 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:33:31 DEBUG TemplateModel:83 - 2016-04-21 20:33:31, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:33:31 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:33:31 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:33:32 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 134 ms
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:33:32 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:33:32 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:33:32 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:33:32 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@2b45cf3d
2016-04-21 20:33:32 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@3155a123
2016-04-21 20:33:32 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@1fc6bdea
2016-04-21 20:33:32 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@449590df
2016-04-21 20:33:32 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 98 ms
2016-04-21 20:33:32 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:33:32 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:33:32 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:33:32 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:33:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:33:32 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:33:32 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:33:32 DEBUG TemplateModel:83 - 2016-04-21 20:33:32, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:33:32 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:33:32 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:33:32 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:33:32 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:33:32 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:33:32 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:33:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:33:32 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:33:32 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:33:32 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:33:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:33:32 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:33:32 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:33:32 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:33:32 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:33:32 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:33:32 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:33:32 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:33:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-21 20:33:33 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:33:33 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:33:33 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 72 ms
2016-04-21 20:33:33 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:33:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:33:33 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:33:33 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:33:33 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:33:33 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:33:33 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:33:34 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:33:34 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:33:34 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:33:34 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:33:34 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:33:34 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:33:34 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:33:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:33:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:33:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:34 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:33:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:33:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:33:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:33:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:33:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:33:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:33:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:33:34 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:33:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:33:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:33:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:33:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:33:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:33:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:33:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:33:35 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:33:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:35 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:33:35 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:33:35 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:33:35 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:33:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:33:35 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:33:35 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:33:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:33:35 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:33:35 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:33:35 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:33:35 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:33:35 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:33:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:33:35 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:33:35 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:33:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:33:35 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:33:35 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:33:35 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:33:35 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:33:35 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:33:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:33:35 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:33:35 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:33:35 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:33:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:35 INFO WorkspaceExplorerServiceImpl:188 - end time - 124 msc 0 sec
2016-04-21 20:33:35 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:33:35 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:33:35 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:33:35 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 20 ms
2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:33:36 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:33:36 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:33:36 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 34 ms
2016-04-21 20:33:36 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:33:36 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:33:36 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:33:36 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:33:36 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:33:36 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:33:36 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:33:36 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:33:36 INFO WorkspaceExplorerServiceImpl:188 - end time - 247 msc 0 sec
2016-04-21 20:33:37 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:33:37 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:33:37 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:33:37 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:33:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:33:37 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:33:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:33:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 24 ms
2016-04-21 20:33:37 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:33:37 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:33:37 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:33:37 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:33:38 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:33:38 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:33:41 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:33:41 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:33:41 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:33:41 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:33:41 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:33:41 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:33:41 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:33:41 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:33:41 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:33:41 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:33:41 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:33:41 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:33:41 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:33:41 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:33:41 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:33:41 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:33:41 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:33:41 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:33:41 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:33:41 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:33:41 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:33:41 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:33:41 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:33:41 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:33:41 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:33:41 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:33:41 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:33:41 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:33:41 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:33:41 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:33:41 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:33:41 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:33:41 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:33:41 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:33:41 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:33:41 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:33:41 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:33:41 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:33:41 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:33:41 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:33:41 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:33:41 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:33:41 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:33:41 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:33:41 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:33:41 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:33:41 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:33:41 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:33:41 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:33:41 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:33:41 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:33:41 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:33:41 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:33:41 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:33:41 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:33:41 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:33:41 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:33:41 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:33:41 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:33:41 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:33:41 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:33:41 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:33:41 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:33:41 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:33:41 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:33:41 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:33:41 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:33:41 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:33:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:33:41 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:33:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:33:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:33:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:33:41 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:33:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:33:41 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:33:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:33:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:33:41 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:33:41 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:33:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:33:41 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:33:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:33:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:33:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:33:41 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:33:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:33:41 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:33:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:33:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:33:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:33:41 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:33:41 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:33:42 INFO WorkspaceExplorerServiceImpl:142 - end time - 192 msc 0 sec
2016-04-21 20:33:42 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:34:42 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:34:42 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:34:42 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:34:42 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:34:42 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:34:42 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:34:42 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:34:42 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@2cbe1f9b
2016-04-21 20:34:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:34:42 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:34:42 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:34:42 DEBUG TemplateModel:83 - 2016-04-21 20:34:42, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:34:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:34:42 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:34:42 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 143 ms
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:34:42 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:34:42 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:34:42 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:34:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@32a6fdd4
2016-04-21 20:34:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@2f59d068
2016-04-21 20:34:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@2c277bb3
2016-04-21 20:34:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@46806da5
2016-04-21 20:34:42 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 112 ms
2016-04-21 20:34:42 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:34:42 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:34:42 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:34:42 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:34:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:34:42 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:34:42 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:34:42 DEBUG TemplateModel:83 - 2016-04-21 20:34:42, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:34:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:34:42 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:34:42 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:34:43 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:34:43 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:34:43 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:34:43 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:34:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:34:43 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:34:43 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:34:43 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 17 ms
2016-04-21 20:34:43 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:34:43 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:34:43 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:34:43 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:34:43 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:34:43 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:34:43 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:34:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:34:43 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:34:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:34:43 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:34:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:34:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:34:43 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:34:43 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:34:43 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:34:43 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:34:43 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:34:43 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:34:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:34:43 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:34:43 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:34:43 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms
2016-04-21 20:34:43 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:34:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:34:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:34:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:34:43 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:34:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:34:43 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:34:43 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:34:43 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:34:43 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:34:43 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:34:43 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:34:44 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:34:44 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:34:44 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:34:44 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:34:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:34:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:34:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:45 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:34:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:34:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:34:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:34:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:34:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:34:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:34:45 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:34:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:34:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:34:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:34:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:34:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:34:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:34:45 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:34:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:34:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:34:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:34:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:34:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:34:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:34:45 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:34:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:46 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:34:46 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:34:46 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:34:46 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:34:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:34:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:34:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:34:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:34:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:34:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:34:46 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:34:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:34:46 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:34:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:34:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:34:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:34:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:34:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:34:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:34:46 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:34:46 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:34:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 106 msc 0 sec
2016-04-21 20:34:46 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:34:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:34:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:34:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 39 ms
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:34:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:34:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:34:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 19 ms
2016-04-21 20:34:46 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:34:46 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:34:46 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:34:46 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:34:46 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:34:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:34:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:34:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 20 ms
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:34:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 253 msc 0 sec
2016-04-21 20:34:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:34:49 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:34:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:34:49 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:34:49 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:34:49 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:34:50 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:34:50 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:34:50 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:34:50 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:34:50 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:34:50 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:34:50 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:34:50 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:34:50 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:34:50 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:34:50 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:34:50 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:34:50 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:34:50 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:34:50 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:34:50 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:34:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:34:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:34:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:34:50 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:34:50 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:34:50 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:34:50 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:34:50 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:34:50 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:34:50 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:34:50 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:34:50 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:34:50 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:34:50 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:34:50 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:34:50 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:34:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:34:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:34:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:34:50 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:34:50 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:34:50 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:34:50 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:34:50 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:34:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:34:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:34:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:34:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:34:50 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:34:50 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:34:50 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:34:50 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:34:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:34:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:34:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:34:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:34:50 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:34:50 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:34:50 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:34:50 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:34:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:34:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:34:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:34:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:34:50 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:34:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:34:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:34:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:34:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:34:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:34:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:34:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:34:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:34:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:34:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:34:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:34:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:34:50 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:34:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:34:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:34:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:34:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:34:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:34:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:34:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:34:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:34:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:34:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:34:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:34:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:34:50 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:34:50 INFO WorkspaceExplorerServiceImpl:142 - end time - 208 msc 0 sec
2016-04-21 20:34:50 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:35:57 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:35:57 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:35:57 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:35:57 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:35:57 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:35:57 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:35:57 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:35:57 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@11ccefa8
2016-04-21 20:35:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:35:57 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:35:57 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:35:57 DEBUG TemplateModel:83 - 2016-04-21 20:35:57, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:35:57 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:35:57 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:35:57 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 121 ms
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:35:57 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:35:57 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:35:57 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:35:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@49e8d43f
2016-04-21 20:35:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@4ef506bf
2016-04-21 20:35:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@1e25750e
2016-04-21 20:35:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@284fb880
2016-04-21 20:35:57 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 125 ms
2016-04-21 20:35:57 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:35:57 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:35:57 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:35:57 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:35:57 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:35:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:35:57 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:35:57 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:35:57 DEBUG TemplateModel:83 - 2016-04-21 20:35:57, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:35:57 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:35:57 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:35:57 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:35:57 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:35:57 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:35:57 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:35:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:35:57 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:35:57 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:35:57 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 25 ms
2016-04-21 20:35:57 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:35:57 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:35:57 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:35:57 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:35:58 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:35:58 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:35:58 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:35:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:35:58 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:35:58 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:35:58 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:35:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:35:58 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:35:58 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:35:58 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:35:58 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:35:58 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:35:58 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:35:58 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:35:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:35:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:35:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:35:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms
2016-04-21 20:35:58 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:35:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:35:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:35:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:35:58 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:35:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:35:58 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:35:58 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:35:58 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:35:58 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:35:58 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:35:58 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:35:59 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:35:59 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:35:59 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:35:59 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:35:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:35:59 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:35:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:35:59 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:35:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:35:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:35:59 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:35:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:35:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:35:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:35:59 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:35:59 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:35:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:35:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:35:59 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:35:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:35:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:35:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:35:59 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:35:59 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:35:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:36:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:36:00 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:36:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:36:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:36:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:36:00 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:36:00 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:36:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:36:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:36:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:36:01 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:36:01 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:36:01 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:36:01 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:36:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:36:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:36:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:36:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:36:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:36:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:36:01 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:36:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:36:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:36:01 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:36:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:36:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:36:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:36:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:36:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:36:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:36:01 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:36:01 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:36:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:36:01 INFO WorkspaceExplorerServiceImpl:188 - end time - 116 msc 0 sec
2016-04-21 20:36:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:36:01 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:36:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:36:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:36:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:36:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:36:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:36:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms
2016-04-21 20:36:01 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:36:01 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:36:01 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:36:01 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:36:01 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:36:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:36:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:36:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:36:01 INFO WorkspaceExplorerServiceImpl:188 - end time - 245 msc 0 sec
2016-04-21 20:36:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:36:02 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:36:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:36:02 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:36:02 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:36:02 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:36:03 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:36:03 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:36:03 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:36:03 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:36:03 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:36:03 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:36:03 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:36:03 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:36:03 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:36:03 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:36:03 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:36:03 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:36:03 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:36:03 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:36:03 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:36:03 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:36:03 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:36:03 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:36:03 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:36:03 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:36:03 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:36:03 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:36:03 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:36:03 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:36:03 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:36:03 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:36:03 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:36:03 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:36:03 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:36:03 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:36:03 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:36:03 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:36:03 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:36:03 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:36:03 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:36:03 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:36:03 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:36:03 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:36:03 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:36:03 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:36:03 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:36:03 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:36:03 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:36:03 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:36:03 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:36:03 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:36:03 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:36:03 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:36:03 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:36:03 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:36:03 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:36:03 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:36:03 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:36:03 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:36:03 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:36:03 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:36:03 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:36:03 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:36:03 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:36:03 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:36:03 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:36:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:36:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:36:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:36:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:36:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:36:03 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:36:03 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:36:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:36:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:36:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:36:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:36:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:36:03 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:36:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:36:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:36:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:36:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:36:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:36:03 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:36:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:36:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:36:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:36:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:36:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:36:03 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:36:03 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:36:03 INFO WorkspaceExplorerServiceImpl:142 - end time - 213 msc 0 sec
2016-04-21 20:36:03 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:36:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:36:52 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:38:10 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:38:10 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:38:10 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:38:10 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:38:10 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:38:10 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:38:10 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:38:10 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@9c69ba9
2016-04-21 20:38:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:38:10 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:38:10 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:38:10 DEBUG TemplateModel:83 - 2016-04-21 20:38:10, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:38:10 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:38:10 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:38:11 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 124 ms
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:38:11 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:38:11 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:38:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:38:11 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@43df2c2
2016-04-21 20:38:11 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@74ac138d
2016-04-21 20:38:11 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@20a2d751
2016-04-21 20:38:11 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@11bd3d47
2016-04-21 20:38:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 126 ms
2016-04-21 20:38:11 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:38:11 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:38:11 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:38:11 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:38:11 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:38:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:38:11 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:38:11 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:38:11 DEBUG TemplateModel:83 - 2016-04-21 20:38:11, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:38:11 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:38:11 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:38:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:38:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:38:11 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:38:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:38:11 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:38:11 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:38:11 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:38:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:38:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:38:11 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:38:11 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:38:11 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:38:11 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:38:11 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:38:11 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:38:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:38:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:38:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:38:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 25 ms
2016-04-21 20:38:12 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:38:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:38:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:38:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:38:12 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:38:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:38:12 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:38:12 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:38:12 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:38:12 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:38:12 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:38:12 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:38:12 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:38:12 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:38:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:38:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:38:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:12 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:38:12 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:38:12 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:38:12 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:38:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:38:12 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:38:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:38:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:38:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 24 ms
2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:38:12 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:38:12 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:38:12 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:38:12 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:38:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:38:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:38:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:38:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:38:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:38:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:38:12 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:38:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:38:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:38:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:38:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:38:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:38:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:38:12 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:38:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:38:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:38:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:38:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:38:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:38:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:38:13 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:38:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:38:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:13 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:38:13 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:38:13 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:38:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:38:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:38:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:38:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:38:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:38:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:38:13 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:38:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:38:13 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:38:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:38:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:38:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:38:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:38:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:38:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:38:13 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:38:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:13 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:38:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:13 INFO WorkspaceExplorerServiceImpl:188 - end time - 169 msc 0 sec
2016-04-21 20:38:13 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:38:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:38:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:38:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:38:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:38:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:38:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms
2016-04-21 20:38:14 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:38:14 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:38:14 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:38:14 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:38:14 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:38:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:38:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:38:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms
2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:38:14 INFO WorkspaceExplorerServiceImpl:188 - end time - 237 msc 0 sec
2016-04-21 20:38:18 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:38:18 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:38:18 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:38:18 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:38:18 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:38:18 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:38:18 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:38:18 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:38:18 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:38:18 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:38:18 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:38:18 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:38:18 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:38:18 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:38:18 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:38:18 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:38:18 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:38:18 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:38:18 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:38:18 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:38:18 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:38:18 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:38:18 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:38:18 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:38:18 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:38:18 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:38:18 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:38:18 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:38:18 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:38:18 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:38:18 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:38:18 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:38:18 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:38:18 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:38:18 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:38:18 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:38:18 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:38:18 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:38:18 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:38:18 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:38:18 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:38:18 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:38:18 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:38:18 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:38:18 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:38:18 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:38:18 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:38:18 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:38:18 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:38:18 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:38:18 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:38:18 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:38:18 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:38:18 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:38:18 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:38:18 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:38:18 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:38:18 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:38:18 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:38:18 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:38:18 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:38:18 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:38:18 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:38:18 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:38:18 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:38:18 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:38:18 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:38:18 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:38:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:38:18 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:38:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:38:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:38:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:38:18 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:38:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:38:18 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:38:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:38:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:38:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:38:18 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:38:18 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:38:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:38:18 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:38:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:38:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:38:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:38:18 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:38:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:38:18 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:38:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:38:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:38:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:38:18 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:38:18 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:38:18 INFO WorkspaceExplorerServiceImpl:142 - end time - 251 msc 0 sec
2016-04-21 20:38:18 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:39:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:39:06 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:40:41 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:40:41 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:40:41 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:40:41 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:40:41 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:40:41 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:40:41 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:40:41 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@63cc041a
2016-04-21 20:40:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:40:41 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:40:41 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:40:41 DEBUG TemplateModel:83 - 2016-04-21 20:40:41, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:40:41 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:40:41 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:40:41 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 127 ms
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:40:41 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:40:41 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:40:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:40:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@43a03935
2016-04-21 20:40:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@3217de92
2016-04-21 20:40:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@13029b1a
2016-04-21 20:40:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@20a23c86
2016-04-21 20:40:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 103 ms
2016-04-21 20:40:41 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:40:42 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:40:42 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:40:42 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:40:42 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:40:42 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:40:42 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:40:42 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:40:42 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:40:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:40:42 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:40:42 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:40:42 DEBUG TemplateModel:83 - 2016-04-21 20:40:42, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:40:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:40:42 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:40:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:40:42 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:40:42 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:40:42 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 21 ms
2016-04-21 20:40:42 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:40:42 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:40:42 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:40:42 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:40:42 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:40:42 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:40:42 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:40:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:40:42 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:40:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:40:42 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:40:42 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:40:42 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:40:42 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:40:42 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:40:42 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:40:42 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:40:42 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:40:42 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:40:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:40:42 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:40:42 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:40:42 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms
2016-04-21 20:40:42 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:40:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:40:42 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:40:42 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:40:42 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:40:42 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:40:42 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:40:42 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:40:43 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:40:43 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:40:43 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:40:43 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:40:43 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:40:43 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:40:43 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:40:43 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:40:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:40:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:40:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:43 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:40:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:40:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:40:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:40:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:40:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:40:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:40:43 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:40:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:40:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:40:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:40:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:40:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:40:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:40:43 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:40:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:40:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:40:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:40:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:40:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:40:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:40:43 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:40:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:45 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:40:45 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:40:45 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:40:45 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:40:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:40:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:40:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:40:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:40:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:40:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:40:45 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:40:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:40:45 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:40:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:40:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:40:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:40:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:40:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:40:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:40:45 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:40:45 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:40:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:45 INFO WorkspaceExplorerServiceImpl:188 - end time - 115 msc 0 sec
2016-04-21 20:40:45 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:40:45 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:40:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:40:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 40 ms
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:40:45 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:40:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:40:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 19 ms
2016-04-21 20:40:45 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:40:45 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:40:45 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:40:45 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:40:45 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:40:45 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:40:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:40:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:40:45 INFO WorkspaceExplorerServiceImpl:188 - end time - 246 msc 0 sec
2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:40:47 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:40:47 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:40:47 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:40:47 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:40:47 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:40:47 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:40:47 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:40:47 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:40:47 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:40:47 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:40:47 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:40:47 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:40:47 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:40:47 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:40:47 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:40:47 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:40:47 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:40:47 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:40:47 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:40:47 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:40:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:40:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:40:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:40:47 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:40:47 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:40:47 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:40:47 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:40:47 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:40:47 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:40:47 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:40:47 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:40:47 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:40:47 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:40:47 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:40:47 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:40:47 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:40:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:40:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:40:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:40:47 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:40:47 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:40:47 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:40:47 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:40:47 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:40:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:40:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:40:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:40:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:40:47 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:40:47 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:40:47 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:40:47 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:40:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:40:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:40:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:40:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:40:47 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:40:47 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:40:47 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:40:47 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:40:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:40:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:40:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:40:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:40:47 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:40:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:40:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:40:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:40:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:40:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:40:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:40:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:40:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:40:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:40:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:40:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:40:47 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:40:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:40:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:40:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:40:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:40:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:40:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:40:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:40:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:40:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:40:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:40:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:40:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:40:47 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:40:47 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:40:47 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:40:48 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:40:48 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:40:48 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:40:48 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:40:48 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:40:48 INFO WorkspaceExplorerServiceImpl:142 - end time - 209 msc 0 sec
2016-04-21 20:40:48 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:41:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:41:37 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:42:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:42:32 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:43:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:43:27 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:44:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:44:22 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:45:03 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:45:03 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:45:03 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:45:03 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:45:03 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:45:03 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:45:03 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:45:03 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@2acdeb7c
2016-04-21 20:45:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:45:03 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:45:03 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:45:03 DEBUG TemplateModel:83 - 2016-04-21 20:45:03, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:45:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:45:03 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:45:03 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 150 ms
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:45:03 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:45:03 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:45:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:45:04 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@13029b1a
2016-04-21 20:45:04 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@46a1d6fe
2016-04-21 20:45:04 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@54c69a01
2016-04-21 20:45:04 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@388e0e18
2016-04-21 20:45:04 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 120 ms
2016-04-21 20:45:04 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:45:04 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:45:04 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:45:04 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 20:45:04 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:45:04 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:45:04 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:45:04 DEBUG TemplateModel:83 - 2016-04-21 20:45:04, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:45:04 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:45:04 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:45:04 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:45:04 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:45:04 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:45:04 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:45:04 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:45:04 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:45:04 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 26 ms
2016-04-21 20:45:04 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:45:04 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:45:04 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:45:04 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:45:04 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:45:04 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:45:04 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:45:04 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:45:04 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:45:04 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:45:04 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:45:04 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:45:04 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:45:04 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:45:04 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:45:04 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:45:04 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:45:04 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:45:04 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:45:04 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:45:04 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms
2016-04-21 20:45:04 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:45:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:45:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:45:04 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:45:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:45:04 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:45:05 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:45:05 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:45:05 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:45:05 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:45:05 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:45:05 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:45:05 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:45:05 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:45:05 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:45:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:45:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:45:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:05 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:45:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:45:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:45:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:45:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:45:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:45:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:45:05 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:45:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:45:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:45:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:45:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:45:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:45:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:45:05 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:45:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:45:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:45:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:45:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:45:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:45:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:45:05 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:45:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:06 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:45:06 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:45:06 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:45:06 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:45:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:45:06 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:45:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:45:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:45:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:45:06 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:45:06 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:45:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:45:06 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:45:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:45:06 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:45:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:45:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:45:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:45:06 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:45:06 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:45:06 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:45:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:06 INFO WorkspaceExplorerServiceImpl:188 - end time - 141 msc 0 sec
2016-04-21 20:45:06 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:45:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:45:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:45:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 28 ms
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:45:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:45:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:45:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 20:45:06 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:45:06 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:45:06 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:45:06 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:45:06 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:45:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:45:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:45:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:45:06 INFO WorkspaceExplorerServiceImpl:188 - end time - 237 msc 0 sec
2016-04-21 20:45:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:45:11 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:45:11 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:45:11 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:45:11 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:45:11 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:45:12 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:45:12 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:45:12 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:45:12 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:45:12 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:45:12 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:45:12 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:45:12 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:45:12 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:45:12 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:45:12 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:45:12 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:45:12 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:45:12 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:45:12 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:45:12 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:45:12 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:45:12 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:45:12 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:45:12 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:45:12 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:45:12 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:45:12 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:45:12 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:45:12 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:45:12 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:45:12 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:45:12 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:45:12 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:45:12 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:45:12 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:45:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:45:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:45:12 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:45:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:45:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:45:12 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:45:12 INFO WorkspaceExplorerServiceImpl:142 - end time - 228 msc 0 sec
2016-04-21 20:45:12 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:45:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:45:59 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:46:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:46:54 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:47:44 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:47:44 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:47:44 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:47:44 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:47:44 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:47:44 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:47:44 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:47:44 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@71a53b6d
2016-04-21 20:47:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:47:44 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:47:44 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:47:44 DEBUG TemplateModel:83 - 2016-04-21 20:47:44, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:47:44 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:47:44 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:47:44 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 129 ms
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:47:44 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:47:44 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:47:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:47:45 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@6c9eefb0
2016-04-21 20:47:45 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@69d3ca0f
2016-04-21 20:47:45 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@71628346
2016-04-21 20:47:45 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@9a32199
2016-04-21 20:47:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 112 ms
2016-04-21 20:47:45 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:47:45 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:47:45 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:47:45 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:47:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:47:45 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:47:45 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:47:45 DEBUG TemplateModel:83 - 2016-04-21 20:47:45, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:47:45 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:47:45 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:47:45 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:47:45 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:47:45 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:47:45 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:47:45 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:47:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:47:45 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:47:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:47:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 19 ms
2016-04-21 20:47:45 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:47:45 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:47:45 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:47:45 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:47:45 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:47:45 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:47:45 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:47:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:47:45 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:47:45 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:47:45 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:47:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:47:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:47:45 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:47:45 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:47:45 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:47:45 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:47:45 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:47:45 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:47:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 20:47:45 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:47:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:47:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms
2016-04-21 20:47:45 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:47:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:47:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:47:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:47:45 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:47:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:47:45 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:47:46 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:47:46 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:47:46 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:47:46 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:47:46 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:47:46 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:47:46 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:47:46 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:47:46 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:47:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:47:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:47:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:46 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:47:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:47:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:47:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:47:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:47:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:47:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:47:46 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:47:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:47:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:47:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:47:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:47:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:47:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:47:46 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:47:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:47:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:47:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:47:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:47:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:47:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:47:46 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:47:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:48 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:47:48 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:47:48 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:47:48 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:47:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:47:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:47:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:47:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:47:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:47:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:47:48 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:47:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:47:48 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:47:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:47:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:47:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:47:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:47:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:47:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:47:48 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:47:48 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:47:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:48 INFO WorkspaceExplorerServiceImpl:188 - end time - 114 msc 0 sec
2016-04-21 20:47:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:48 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:47:48 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:47:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:47:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 24 ms
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:47:48 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:47:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:47:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 20:47:48 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:47:48 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:47:48 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:47:48 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:47:48 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:47:48 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:47:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:47:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:47:48 INFO WorkspaceExplorerServiceImpl:188 - end time - 242 msc 0 sec
2016-04-21 20:47:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:47:49 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:47:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:47:49 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:47:49 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:47:49 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:47:50 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:47:50 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:47:50 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:47:50 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:47:50 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:47:50 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:47:50 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:47:50 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:47:50 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:47:50 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:47:50 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:47:50 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:47:50 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:47:50 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:47:50 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:47:50 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:47:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:47:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:47:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:47:50 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:47:50 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:47:50 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:47:50 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:47:50 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:47:50 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:47:50 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:47:50 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:47:50 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:47:50 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:47:50 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:47:50 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:47:50 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:47:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:47:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:47:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:47:50 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:47:50 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:47:50 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:47:50 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:47:50 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:47:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:47:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:47:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:47:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:47:50 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:47:50 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:47:50 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:47:50 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:47:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:47:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:47:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:47:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:47:50 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:47:50 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:47:50 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:47:50 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:47:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:47:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:47:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:47:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:47:50 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:47:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:47:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:47:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:47:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:47:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:47:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:47:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:47:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:47:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:47:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:47:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:47:50 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:47:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:47:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:47:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:47:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:47:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:47:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:47:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:47:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:47:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:47:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:47:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:47:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:47:50 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:47:50 INFO WorkspaceExplorerServiceImpl:142 - end time - 220 msc 0 sec
2016-04-21 20:47:50 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:48:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:48:40 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:49:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:49:35 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:50:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:50:30 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:51:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:51:25 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:52:04 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:52:05 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:52:05 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:52:05 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:52:05 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:52:05 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:52:05 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:52:05 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@67217a25
2016-04-21 20:52:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:52:05 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:52:05 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:52:05 DEBUG TemplateModel:83 - 2016-04-21 20:52:05, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:52:05 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:52:05 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:52:05 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 157 ms
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:52:05 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:52:05 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:52:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:52:05 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@7577ec6d
2016-04-21 20:52:05 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@4363d430
2016-04-21 20:52:05 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@5214bbe0
2016-04-21 20:52:05 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@30f14e37
2016-04-21 20:52:05 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 124 ms
2016-04-21 20:52:05 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:52:05 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:52:05 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:52:05 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:52:05 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:52:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:52:05 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:52:05 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:52:05 DEBUG TemplateModel:83 - 2016-04-21 20:52:05, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:52:05 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:52:05 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:52:05 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:52:05 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:52:05 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:52:05 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:52:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:52:05 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:52:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:52:05 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 17 ms
2016-04-21 20:52:05 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:52:05 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:52:05 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:52:05 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:52:06 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:52:06 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:52:06 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:52:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:52:06 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:52:06 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:52:06 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:52:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:52:06 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:52:06 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:52:06 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:52:06 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:52:06 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:52:06 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:52:06 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:52:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 20:52:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:52:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:52:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 23 ms
2016-04-21 20:52:06 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:52:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:52:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:52:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:52:06 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:52:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:52:06 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:52:06 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:52:06 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:52:06 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:52:06 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:52:06 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:52:06 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:52:06 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:52:06 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:52:06 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:52:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:52:06 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:52:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:06 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:52:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:52:07 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:07 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:52:07 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:52:07 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:52:07 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:52:07 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:52:07 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:52:07 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:52:07 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:07 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:52:07 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:52:07 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:52:07 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:52:07 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:52:07 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:52:07 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:52:07 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:07 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:52:07 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:52:07 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:52:07 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:52:07 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:52:07 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:52:07 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:52:07 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:08 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:52:08 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:52:08 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:52:08 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:52:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:52:08 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:52:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:52:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:52:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:52:08 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:52:08 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:52:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:52:08 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:52:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:52:08 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:52:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:52:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:52:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:52:08 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:52:08 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:52:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:08 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:52:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:08 INFO WorkspaceExplorerServiceImpl:188 - end time - 117 msc 0 sec
2016-04-21 20:52:08 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:52:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:52:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:52:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms
2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:52:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:52:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:52:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 20:52:08 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:52:08 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:52:08 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:52:08 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:52:08 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:52:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:52:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:52:09 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms
2016-04-21 20:52:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:52:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:52:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:52:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:52:09 INFO WorkspaceExplorerServiceImpl:188 - end time - 227 msc 0 sec
2016-04-21 20:52:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:52:10 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:52:10 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:52:10 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:52:10 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:52:10 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:52:10 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:52:10 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:52:10 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:52:10 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:52:10 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:52:10 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:52:10 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:52:10 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:52:10 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:52:10 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:52:10 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:52:10 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:52:10 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:52:10 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:52:10 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:52:10 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:52:10 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:52:10 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:52:10 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:52:10 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:52:10 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:52:10 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:52:10 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:52:10 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:52:10 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:52:10 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:52:10 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:52:10 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:52:10 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:52:10 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:52:10 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:52:10 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:52:10 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:52:10 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:52:10 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:52:10 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:52:10 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:52:10 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:52:10 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:52:10 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:52:10 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:52:10 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:52:10 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:52:10 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:52:10 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:52:10 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:52:10 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:52:10 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:52:10 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:52:10 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:52:10 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:52:10 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:52:10 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:52:10 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:52:10 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:52:10 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:52:10 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:52:10 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:52:10 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:52:10 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:52:10 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:52:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:52:10 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:52:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:52:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:52:10 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:52:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:52:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:52:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:52:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:52:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:52:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:10 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:52:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:52:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:52:10 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:52:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:52:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:52:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:52:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:52:10 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:52:11 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:52:11 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:52:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:52:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:52:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:52:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:52:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:52:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:52:11 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:52:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:52:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:52:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:52:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:52:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:52:11 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:52:11 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:52:11 INFO WorkspaceExplorerServiceImpl:142 - end time - 205 msc 0 sec
2016-04-21 20:52:11 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:53:07 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:53:07 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:53:07 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:53:07 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:53:07 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:53:07 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:53:07 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:53:07 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@1b33685e
2016-04-21 20:53:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:53:07 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:53:07 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:53:07 DEBUG TemplateModel:83 - 2016-04-21 20:53:07, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:53:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:53:07 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:53:07 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 132 ms
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:53:07 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:53:07 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:53:07 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:53:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@1702737c
2016-04-21 20:53:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@2a7c6f93
2016-04-21 20:53:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@300dfbce
2016-04-21 20:53:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@ec177ca
2016-04-21 20:53:07 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 117 ms
2016-04-21 20:53:07 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:53:08 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:53:08 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:53:08 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:53:08 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:53:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:53:08 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:53:08 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:53:08 DEBUG TemplateModel:83 - 2016-04-21 20:53:08, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:53:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:53:08 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:53:08 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:53:08 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:53:08 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:53:08 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:53:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:53:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:53:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:53:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 27 ms
2016-04-21 20:53:08 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:53:08 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:53:08 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:53:08 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:53:08 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:53:08 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:53:08 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:53:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:53:08 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:53:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:53:08 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:53:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:53:08 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:53:08 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:53:08 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:53:08 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:53:08 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:53:08 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:53:08 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:53:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:53:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:53:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:53:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms
2016-04-21 20:53:08 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:53:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:53:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:53:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:53:08 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:53:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:53:08 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:53:08 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:53:08 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:53:09 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:53:09 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:53:09 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:53:09 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:53:09 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:53:09 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:53:09 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:53:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:53:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:53:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:09 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:53:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:53:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:53:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:53:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:53:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:53:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:53:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:53:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:53:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:53:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:53:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:53:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:53:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:53:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:53:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:53:10 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:53:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:53:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:53:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:53:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:53:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:53:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:53:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:53:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:53:11 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:53:11 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:53:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:53:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:53:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:53:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:53:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:53:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:53:11 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:53:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:53:11 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:53:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:53:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:53:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:53:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:53:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:53:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:53:11 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:53:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:11 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:53:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 128 msc 0 sec
2016-04-21 20:53:11 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:53:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:53:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:53:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 226 ms
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:53:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:53:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:53:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 20:53:11 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:53:11 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:53:11 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:53:11 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:53:11 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:53:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:53:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:53:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:53:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 445 msc 0 sec
2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:53:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:53:13 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:53:13 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:53:13 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:53:13 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:53:13 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:53:13 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:53:13 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:53:13 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:53:13 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:53:13 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:53:13 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:53:13 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:53:13 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:53:13 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:53:13 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:53:13 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:53:13 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:53:13 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:53:13 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:53:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:53:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:53:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:53:13 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:53:13 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:53:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:53:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:53:13 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:53:13 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:53:13 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:53:13 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:53:13 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:53:13 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:53:13 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:53:13 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:53:13 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:53:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:53:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:53:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:53:13 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:53:13 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:53:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:53:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:53:13 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:53:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:53:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:53:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:53:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:53:13 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:53:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:53:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:53:13 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:53:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:53:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:53:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:53:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:53:13 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:53:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:53:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:53:13 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:53:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:53:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:53:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:53:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:53:13 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:53:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:53:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:53:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:53:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:53:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:53:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:53:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:53:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:53:13 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:53:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:53:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:53:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:53:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:53:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:53:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:53:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:53:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:53:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:53:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:53:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:53:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:53:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:53:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:53:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:53:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:53:13 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:53:13 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:53:13 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:53:14 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:53:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:53:14 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:53:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:53:14 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:53:14 INFO WorkspaceExplorerServiceImpl:142 - end time - 194 msc 0 sec
2016-04-21 20:53:14 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:54:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:54:03 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:57:16 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 20:57:16 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 20:57:16 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 20:57:16 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:57:16 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:57:16 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 20:57:16 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:57:16 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@6f1e684a
2016-04-21 20:57:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:57:16 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:57:16 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:57:16 DEBUG TemplateModel:83 - 2016-04-21 20:57:16, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:57:16 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:57:17 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:57:17 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 152 ms
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 20:57:17 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 20:57:17 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:57:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 20:57:18 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 20:57:18 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 20:57:18 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:57:18 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 20:57:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:57:18 INFO ASLSession:352 - Logging the entrance
2016-04-21 20:57:18 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 20:57:18 DEBUG TemplateModel:83 - 2016-04-21 20:57:18, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 20:57:18 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:57:18 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 20:57:18 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@12410fff
2016-04-21 20:57:18 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@6393524e
2016-04-21 20:57:18 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@4975828e
2016-04-21 20:57:18 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@6b9da734
2016-04-21 20:57:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 385 ms
2016-04-21 20:57:18 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:57:18 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:57:18 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:57:18 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:57:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:57:18 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 20:57:18 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:57:18 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 20:57:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:57:18 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:57:18 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 20:57:18 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 20:57:18 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 20:57:18 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 20:57:18 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 20:57:18 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 20:57:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-21 20:57:18 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:57:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 20:57:18 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 20:57:18 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 20:57:18 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 20:57:18 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 20:57:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 20:57:18 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:57:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms
2016-04-21 20:57:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 20:57:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 23 ms
2016-04-21 20:57:18 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 20:57:18 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:57:18 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 20:57:18 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:57:19 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 20:57:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:57:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:57:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:57:19 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 20:57:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:57:19 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 20:57:19 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:57:19 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:57:19 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 20:57:19 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:57:19 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 20:57:20 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 20:57:20 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 20:57:20 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 20:57:20 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 20:57:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:57:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:57:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:20 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 20:57:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 20:57:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:57:20 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:57:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:57:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:57:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:57:20 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:57:20 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:57:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 20:57:21 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:21 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:21 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:57:21 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:57:21 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:57:21 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:57:21 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:57:21 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:57:21 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:57:21 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 20:57:21 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:21 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:21 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:57:21 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:57:21 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:57:21 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:57:21 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:57:21 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:57:21 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 20:57:21 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 20:57:21 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:21 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:22 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 20:57:22 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 20:57:22 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 20:57:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:57:22 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:57:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:57:22 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:57:22 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:57:22 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:57:22 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:57:22 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:57:22 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:57:22 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 20:57:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:57:22 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:57:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:57:22 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:57:22 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:57:22 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:57:22 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:57:22 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:57:22 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:57:22 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 20:57:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:22 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 20:57:22 INFO WorkspaceExplorerServiceImpl:188 - end time - 216 msc 0 sec
2016-04-21 20:57:23 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:57:23 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:57:23 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:57:23 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 28 ms
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:57:23 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:57:23 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 20:57:23 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 20:57:23 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 20:57:23 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 20:57:23 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 20:57:23 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:57:23 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:57:23 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 20:57:23 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 20:57:23 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:57:23 INFO WorkspaceExplorerServiceImpl:188 - end time - 272 msc 0 sec
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:57:23 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:57:23 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 20:57:23 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 20:57:23 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:57:23 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 20:57:23 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:57:23 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 20:57:23 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 20:57:23 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:57:23 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 20:57:23 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 20:57:23 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 20:57:23 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 20:57:23 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 20:57:23 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 20:57:23 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 20:57:23 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 20:57:23 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 20:57:23 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 20:57:23 DEBUG WPS2SM:201 - Schema: null
2016-04-21 20:57:23 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 20:57:23 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 20:57:23 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 20:57:23 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:57:23 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 20:57:23 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 20:57:23 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:57:23 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:57:23 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 20:57:23 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 20:57:23 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 20:57:23 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 20:57:23 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 20:57:23 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 20:57:23 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 20:57:23 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 20:57:23 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 20:57:23 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 20:57:23 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 20:57:23 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:57:23 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 20:57:23 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 20:57:23 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:57:23 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 20:57:23 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 20:57:23 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 20:57:23 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 20:57:23 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:57:23 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 20:57:23 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 20:57:23 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:57:23 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:57:23 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 20:57:23 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 20:57:23 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 20:57:23 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:57:23 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 20:57:23 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 20:57:23 DEBUG WPS2SM:93 - WPS type:
2016-04-21 20:57:23 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 20:57:23 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 20:57:23 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 20:57:23 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 20:57:23 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 20:57:23 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 20:57:23 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:57:23 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:57:23 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:57:23 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:57:23 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:57:23 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:57:23 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:57:23 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:57:23 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:57:23 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:57:23 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:57:23 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:57:23 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:57:23 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:57:23 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:57:23 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:57:23 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 20:57:23 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 20:57:23 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:23 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 20:57:23 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 20:57:23 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:23 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:24 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:57:24 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:57:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:57:24 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:57:24 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:57:24 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:57:24 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:57:24 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:57:24 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:57:24 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:57:24 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 20:57:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 20:57:24 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 20:57:24 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 20:57:24 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 20:57:24 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 20:57:24 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 20:57:24 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 20:57:24 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:24 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:24 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 20:57:24 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 20:57:24 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:24 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 20:57:24 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:24 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 20:57:24 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 20:57:24 INFO WorkspaceExplorerServiceImpl:142 - end time - 240 msc 0 sec
2016-04-21 20:57:24 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 20:58:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 20:58:13 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 20:59:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 20:59:08 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:00:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:00:03 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:00:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:00:58 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:01:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:01:53 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:02:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:02:48 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:03:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:03:43 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:04:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:04:38 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:09:39 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 21:09:39 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 21:09:39 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 21:09:39 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:09:39 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:09:39 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:09:39 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:09:39 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@40599963
2016-04-21 21:09:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:09:39 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:09:39 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:09:39 DEBUG TemplateModel:83 - 2016-04-21 21:09:39, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:09:39 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:09:40 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 21:09:40 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 235 ms
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 21:09:40 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 21:09:40 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:09:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 21:09:41 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:09:41 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:09:41 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:09:41 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:09:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:09:41 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:09:41 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:09:41 DEBUG TemplateModel:83 - 2016-04-21 21:09:41, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:09:41 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:09:41 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 21:09:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@4177cfac
2016-04-21 21:09:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@6054da43
2016-04-21 21:09:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@1c2fbf6c
2016-04-21 21:09:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@40190936
2016-04-21 21:09:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 384 ms
2016-04-21 21:09:41 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 21:09:41 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 21:09:41 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 21:09:41 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 21:09:41 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 21:09:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:09:41 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:09:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 21:09:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 46 ms
2016-04-21 21:09:41 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 21:09:41 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:09:41 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 21:09:41 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:09:41 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:09:41 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:09:41 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:09:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:09:41 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 21:09:41 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:09:41 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 21:09:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:09:41 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:09:42 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 21:09:42 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 21:09:42 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 21:09:42 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 21:09:42 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 21:09:42 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 21:09:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 21:09:42 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:09:42 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 21:09:42 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 23 ms
2016-04-21 21:09:42 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 21:09:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:09:42 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:09:42 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:09:42 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 21:09:42 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:09:42 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 21:09:42 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:09:42 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 21:09:42 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 21:09:43 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 21:09:43 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 21:09:43 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 21:09:43 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 21:09:43 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 21:09:43 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 21:09:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:09:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:09:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:43 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 21:09:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 21:09:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:09:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:09:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:09:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:09:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:09:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:09:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 21:09:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:09:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:09:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:09:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:09:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:09:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:09:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 21:09:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:09:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:09:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:09:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:09:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:09:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:09:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 21:09:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:45 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:09:45 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:09:45 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:09:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:09:45 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:09:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:09:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:09:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:09:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:09:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:09:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:09:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:09:45 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 21:09:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:09:45 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:09:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:09:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:09:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:09:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:09:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:09:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:09:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:09:46 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 21:09:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:46 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 21:09:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 150 msc 0 sec
2016-04-21 21:09:46 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:09:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:09:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 21:09:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 28 ms
2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 21:09:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:09:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 21:09:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 22 ms
2016-04-21 21:09:46 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 21:09:46 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 21:09:46 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 21:09:46 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 21:09:46 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 21:09:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:09:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 21:09:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms
2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:09:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 265 msc 0 sec
2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:09:46 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:09:46 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:09:46 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 21:09:46 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:09:46 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:09:46 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:09:46 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 21:09:46 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 21:09:46 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:09:46 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 21:09:46 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 21:09:46 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:09:46 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 21:09:46 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 21:09:46 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 21:09:46 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:09:46 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 21:09:46 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 21:09:46 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 21:09:46 DEBUG WPS2SM:201 - Schema: null
2016-04-21 21:09:46 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 21:09:46 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 21:09:46 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 21:09:46 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:09:46 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 21:09:46 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 21:09:46 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:09:46 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:09:46 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 21:09:46 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 21:09:46 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 21:09:46 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 21:09:46 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 21:09:46 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 21:09:46 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 21:09:46 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 21:09:46 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 21:09:46 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:09:46 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 21:09:46 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:09:46 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 21:09:46 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 21:09:46 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:09:46 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:09:46 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 21:09:46 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 21:09:46 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 21:09:46 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:09:46 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 21:09:46 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 21:09:46 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:09:46 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:09:46 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 21:09:46 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 21:09:46 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 21:09:46 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:09:46 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 21:09:46 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 21:09:46 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:09:46 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:09:46 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 21:09:46 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 21:09:46 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 21:09:46 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:09:46 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 21:09:46 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:09:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:09:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:09:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:09:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:09:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:09:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:09:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:09:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:09:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:09:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:09:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:09:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:09:47 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:09:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:09:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:09:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:09:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:09:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:09:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:09:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:09:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:09:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:09:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:09:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:09:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:09:47 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 21:09:47 INFO WorkspaceExplorerServiceImpl:142 - end time - 235 msc 0 sec
2016-04-21 21:09:47 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 21:10:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:10:36 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:11:12 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:11:12 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:11:12 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:11:12 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:11:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:11:12 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:11:12 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:11:12 DEBUG TemplateModel:83 - 2016-04-21 21:11:12, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:11:12 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:11:12 INFO DiscoveryDelegate:77 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service (cached)
2016-04-21 21:11:13 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 21:11:13 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 21:11:13 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 21:11:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:11:13 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:11:13 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 21:11:13 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 26 ms
2016-04-21 21:11:13 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 21:11:13 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:11:13 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 21:11:13 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:11:13 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:11:13 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:11:13 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:11:13 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:11:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:11:13 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:11:13 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:11:13 DEBUG TemplateModel:83 - 2016-04-21 21:11:13, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:11:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:11:13 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 21:11:13 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:11:13 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 21:11:13 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:11:13 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:11:13 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:11:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:11:13 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:11:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:11:13 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 21:11:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:11:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:11:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:11:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:11:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:11:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:11:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:13 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 21:11:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 21:11:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:11:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:11:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:11:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:11:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:11:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:11:13 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:11:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 21:11:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:11:14 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:11:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:11:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:11:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:11:14 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:11:14 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 21:11:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:11:14 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:11:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:11:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:11:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:11:14 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:11:14 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 21:11:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:14 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:11:14 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:11:14 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:11:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:11:14 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:11:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:11:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:11:14 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:11:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:11:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:11:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:11:14 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:11:14 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 21:11:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:14 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 21:11:14 INFO WorkspaceExplorerServiceImpl:188 - end time - 69 msc 0 sec
2016-04-21 21:11:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:11:14 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:11:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:11:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:11:14 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:11:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:11:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:11:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:11:14 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:11:14 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 21:11:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:14 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 21:11:14 INFO WorkspaceExplorerServiceImpl:188 - end time - 73 msc 0 sec
2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:11:32 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:11:32 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:11:32 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 21:11:32 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:11:32 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:11:32 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:11:32 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 21:11:32 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 21:11:32 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:11:32 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 21:11:32 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 21:11:32 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:11:32 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 21:11:32 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 21:11:32 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 21:11:32 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:11:32 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 21:11:32 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 21:11:32 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 21:11:32 DEBUG WPS2SM:201 - Schema: null
2016-04-21 21:11:32 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 21:11:32 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 21:11:32 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 21:11:32 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:11:32 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 21:11:32 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 21:11:32 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:11:32 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:11:32 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 21:11:32 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 21:11:32 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 21:11:32 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 21:11:32 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 21:11:32 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 21:11:32 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 21:11:32 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 21:11:32 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 21:11:32 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:11:32 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 21:11:32 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:11:32 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 21:11:32 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 21:11:32 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:11:32 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:11:32 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 21:11:32 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 21:11:32 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 21:11:32 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:11:32 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 21:11:32 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 21:11:32 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:11:32 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:11:32 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 21:11:32 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 21:11:32 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 21:11:32 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:11:32 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 21:11:32 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 21:11:32 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:11:32 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:11:32 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 21:11:32 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 21:11:32 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 21:11:32 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:11:32 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 21:11:32 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:11:32 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:11:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:11:32 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:11:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:11:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:11:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:11:32 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:11:32 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:11:32 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:11:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:11:32 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:11:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:11:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:11:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:11:32 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:11:32 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 21:11:32 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:32 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:11:32 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:11:32 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:32 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:11:33 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:11:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:11:33 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:11:33 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:11:33 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:11:33 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:11:33 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:11:33 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:11:33 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:11:33 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:11:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:11:33 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:11:33 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:11:33 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:11:33 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:11:33 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:11:33 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:11:33 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:33 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:11:33 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:11:33 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:11:33 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 21:11:33 INFO WorkspaceExplorerServiceImpl:142 - end time - 168 msc 0 sec
2016-04-21 21:11:33 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 21:12:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:12:08 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:13:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:13:03 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:13:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:13:58 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 21:14:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:14:53 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:15:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:15:48 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:16:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:16:43 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:17:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:17:38 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:18:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:18:33 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:19:28 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:19:28 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:23:06 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 21:23:06 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 21:23:06 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 21:23:06 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:23:06 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:23:06 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:23:06 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:23:06 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@199c1997
2016-04-21 21:23:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:23:06 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:23:06 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:23:06 DEBUG TemplateModel:83 - 2016-04-21 21:23:06, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:23:06 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:23:07 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 21:23:07 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 190 ms
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 21:23:07 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 21:23:07 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:23:07 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:23:07 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:23:07 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:23:07 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:23:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:23:07 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:23:07 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:23:07 DEBUG TemplateModel:83 - 2016-04-21 21:23:07, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:23:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:23:07 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 21:23:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 21:23:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@67174349
2016-04-21 21:23:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@492c1ac8
2016-04-21 21:23:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@1733f206
2016-04-21 21:23:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@4348fa54
2016-04-21 21:23:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 225 ms
2016-04-21 21:23:08 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 21:23:08 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:23:08 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:23:08 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:23:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:23:08 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:23:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:23:08 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 21:23:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:23:08 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:23:08 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 21:23:08 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 21:23:08 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 21:23:08 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 21:23:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:23:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:23:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 21:23:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 19 ms
2016-04-21 21:23:08 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 21:23:08 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:23:08 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 21:23:08 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:23:08 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 21:23:08 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 21:23:08 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 21:23:08 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 21:23:08 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 21:23:08 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 21:23:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-21 21:23:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:23:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 21:23:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms
2016-04-21 21:23:09 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 21:23:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:23:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:23:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:23:09 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 21:23:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:23:09 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 21:23:09 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:23:09 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 21:23:09 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 21:23:10 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 21:23:10 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 21:23:10 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 21:23:10 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 21:23:10 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 21:23:10 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 21:23:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:23:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:23:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:10 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 21:23:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:23:10 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:23:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:23:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:23:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:23:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:23:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 21:23:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:23:10 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:23:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:23:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:23:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:23:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:23:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 21:23:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:23:10 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:23:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:23:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:23:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:23:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:23:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 21:23:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:23:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:23:11 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:23:11 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:23:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:23:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:23:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:23:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:23:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:23:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:23:11 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 21:23:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:23:11 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:23:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:23:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:23:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:23:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:23:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:23:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:23:11 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 21:23:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:11 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 21:23:11 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:23:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:23:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 21:23:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 25 ms
2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:23:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:23:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 21:23:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 19 ms
2016-04-21 21:23:12 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 21:23:12 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 21:23:12 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 21:23:12 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:23:12 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:23:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:23:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 21:23:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 33 ms
2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:23:12 INFO WorkspaceExplorerServiceImpl:188 - end time - 503 msc 0 sec
2016-04-21 21:23:12 INFO WorkspaceExplorerServiceImpl:188 - end time - 1224 msc 1 sec
2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:23:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:23:13 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 21:23:13 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:23:13 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:23:13 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:23:13 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 21:23:13 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 21:23:13 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:23:13 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 21:23:13 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 21:23:13 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:23:13 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 21:23:13 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 21:23:13 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 21:23:13 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:23:13 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 21:23:13 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 21:23:13 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 21:23:13 DEBUG WPS2SM:201 - Schema: null
2016-04-21 21:23:13 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 21:23:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 21:23:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 21:23:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:23:13 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 21:23:13 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 21:23:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:23:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:23:13 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 21:23:13 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 21:23:13 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 21:23:13 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 21:23:13 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 21:23:13 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 21:23:13 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 21:23:13 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 21:23:13 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 21:23:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:23:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 21:23:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:23:13 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 21:23:13 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 21:23:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:23:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:23:13 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 21:23:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 21:23:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 21:23:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:23:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 21:23:13 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 21:23:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:23:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:23:13 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 21:23:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 21:23:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 21:23:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:23:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 21:23:13 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 21:23:13 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:23:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:23:13 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 21:23:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 21:23:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 21:23:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:23:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 21:23:13 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:23:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:23:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:23:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:23:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:23:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:23:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:23:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:23:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:23:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:23:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:23:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:23:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:23:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:23:13 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 21:23:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:23:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:23:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:23:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:23:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:23:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:23:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:23:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:23:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:23:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:23:13 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:23:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:23:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:23:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:23:13 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:23:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:23:14 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:23:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:23:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:23:14 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 21:23:14 INFO WorkspaceExplorerServiceImpl:142 - end time - 182 msc 0 sec
2016-04-21 21:23:14 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 21:26:02 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 21:26:02 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 21:26:02 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 21:26:02 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:26:02 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:26:02 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:26:02 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:26:02 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@6446b998
2016-04-21 21:26:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:26:02 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:26:02 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:26:02 DEBUG TemplateModel:83 - 2016-04-21 21:26:02, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:26:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:26:02 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 21:26:02 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 151 ms
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 21:26:02 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 21:26:02 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:26:02 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 21:26:02 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@2c9a1771
2016-04-21 21:26:02 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@69e2f1a8
2016-04-21 21:26:02 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@6d5d6725
2016-04-21 21:26:02 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@47a416a7
2016-04-21 21:26:02 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 127 ms
2016-04-21 21:26:03 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 21:26:03 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 21:26:03 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 21:26:03 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 21:26:03 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 21:26:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:26:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:26:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 21:26:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 22 ms
2016-04-21 21:26:03 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 21:26:03 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:26:03 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 21:26:03 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:26:03 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:26:03 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:26:03 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:26:03 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:26:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:26:03 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:26:03 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:26:03 DEBUG TemplateModel:83 - 2016-04-21 21:26:03, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:26:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:26:03 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 21:26:03 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:26:03 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:26:03 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:26:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:26:03 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:26:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:26:03 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 21:26:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:26:03 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:26:03 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 21:26:03 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 21:26:03 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 21:26:03 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 21:26:03 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 21:26:03 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 21:26:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36
2016-04-21 21:26:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:26:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 21:26:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 28 ms
2016-04-21 21:26:04 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 21:26:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:26:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:26:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:26:04 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 21:26:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:26:04 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 21:26:04 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:26:04 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 21:26:04 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 21:26:04 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 21:26:04 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 21:26:04 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 21:26:04 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 21:26:04 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 21:26:04 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 21:26:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:26:04 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:26:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:04 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 21:26:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:04 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:26:04 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:26:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:26:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:26:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:26:04 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:26:04 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 21:26:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:04 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:26:04 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:26:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:26:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:26:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:26:04 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:26:04 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 21:26:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:26:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:26:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:26:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:26:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:26:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:26:05 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:26:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 21:26:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:05 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:26:05 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:26:05 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:26:05 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:26:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:26:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:26:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:26:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:26:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:26:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:26:05 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 21:26:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:26:05 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:26:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:26:05 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:26:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:26:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:26:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:26:05 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:26:05 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 21:26:05 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 21:26:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:05 INFO WorkspaceExplorerServiceImpl:188 - end time - 122 msc 0 sec
2016-04-21 21:26:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:05 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:26:05 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:26:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 21:26:05 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms
2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-21 21:26:05 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:26:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 21:26:05 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-21 21:26:06 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 21:26:06 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 21:26:06 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 21:26:06 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-21 21:26:06 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-21 21:26:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:26:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 21:26:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms
2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:26:06 INFO WorkspaceExplorerServiceImpl:188 - end time - 221 msc 0 sec
2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:26:09 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:26:09 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 21:26:09 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:26:09 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:26:09 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:26:09 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 21:26:09 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 21:26:09 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:26:09 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 21:26:09 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 21:26:09 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:26:09 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 21:26:09 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 21:26:09 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 21:26:09 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:26:09 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 21:26:09 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 21:26:09 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 21:26:09 DEBUG WPS2SM:201 - Schema: null
2016-04-21 21:26:09 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 21:26:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 21:26:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 21:26:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:26:09 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 21:26:09 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 21:26:09 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:26:09 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:26:09 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 21:26:09 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 21:26:09 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 21:26:09 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 21:26:09 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 21:26:09 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 21:26:09 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 21:26:09 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 21:26:09 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 21:26:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:26:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 21:26:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:26:09 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 21:26:09 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 21:26:09 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:26:09 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:26:09 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 21:26:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 21:26:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 21:26:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:26:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 21:26:09 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 21:26:09 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:26:09 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:26:09 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 21:26:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 21:26:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 21:26:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:26:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 21:26:09 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 21:26:09 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:26:09 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:26:09 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 21:26:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 21:26:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 21:26:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:26:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 21:26:09 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:26:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:26:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:26:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:26:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:26:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:26:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:26:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:26:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:26:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:26:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:26:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:26:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:26:09 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:26:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:26:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:26:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:26:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:26:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:26:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:26:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:26:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:26:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:26:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:26:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:26:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:26:10 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 21:26:10 INFO WorkspaceExplorerServiceImpl:142 - end time - 193 msc 0 sec
2016-04-21 21:26:10 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 21:26:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:26:58 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:28:28 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 21:28:28 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 21:28:28 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 21:28:28 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:28:28 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:28:28 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:28:28 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:28:28 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@26b728f2
2016-04-21 21:28:28 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:28:28 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:28:28 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:28:28 DEBUG TemplateModel:83 - 2016-04-21 21:28:28, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:28:28 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:28:28 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 21:28:28 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 133 ms
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 21:28:28 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 21:28:28 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:28:28 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 21:28:28 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@75da2d8b
2016-04-21 21:28:28 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@1389b8a7
2016-04-21 21:28:28 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@3582cf38
2016-04-21 21:28:28 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@27e34fe
2016-04-21 21:28:28 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 104 ms
2016-04-21 21:28:28 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 21:28:29 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 21:28:29 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 21:28:29 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 21:28:29 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 21:28:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:28:29 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:28:29 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 21:28:29 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 25 ms
2016-04-21 21:28:29 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 21:28:29 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:28:29 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 21:28:29 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:28:29 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:28:29 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:28:29 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:28:29 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:28:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:28:29 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:28:29 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:28:29 DEBUG TemplateModel:83 - 2016-04-21 21:28:29, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:28:29 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:28:29 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 21:28:29 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:28:29 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:28:29 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:28:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:28:29 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:28:29 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:28:29 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 21:28:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:28:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:28:29 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 21:28:29 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 21:28:29 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 21:28:29 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 21:28:29 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 21:28:29 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 21:28:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-21 21:28:29 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:28:29 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 21:28:29 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms
2016-04-21 21:28:30 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:28:30 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 21:28:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:28:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:28:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:28:30 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 21:28:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:28:30 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 21:28:30 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 21:28:30 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 21:28:30 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 21:28:30 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 21:28:30 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 21:28:30 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 21:28:30 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 21:28:30 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 21:28:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:28:30 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:28:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:30 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 21:28:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:30 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:28:30 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:28:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:28:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:28:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:28:30 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:28:30 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 21:28:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:30 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:28:30 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:28:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:28:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:28:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:28:30 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:28:30 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 21:28:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:30 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:28:30 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:28:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:28:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:28:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:28:30 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:28:30 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 21:28:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:31 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:28:31 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:28:31 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:28:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:28:31 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:28:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:28:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:28:31 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:28:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:28:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:28:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:28:31 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:28:31 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 21:28:32 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:32 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:28:32 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:28:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:28:32 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:28:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:28:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:28:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:28:32 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:28:32 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 21:28:32 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 21:28:32 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:32 INFO WorkspaceExplorerServiceImpl:188 - end time - 98 msc 0 sec
2016-04-21 21:28:32 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:32 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:28:32 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:28:32 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 21:28:32 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms
2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 21:28:32 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:28:32 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 21:28:32 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms
2016-04-21 21:28:32 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 21:28:32 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 21:28:32 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 21:28:32 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 21:28:32 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 21:28:32 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:28:32 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 21:28:32 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 34 ms
2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:28:32 INFO WorkspaceExplorerServiceImpl:188 - end time - 235 msc 0 sec
2016-04-21 21:28:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:28:33 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:28:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:28:33 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 21:28:33 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:28:33 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:28:34 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:28:34 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 21:28:34 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 21:28:34 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:28:34 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 21:28:34 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 21:28:34 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:28:34 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 21:28:34 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 21:28:34 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 21:28:34 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:28:34 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 21:28:34 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 21:28:34 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 21:28:34 DEBUG WPS2SM:201 - Schema: null
2016-04-21 21:28:34 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 21:28:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 21:28:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 21:28:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:28:34 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 21:28:34 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 21:28:34 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:28:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:28:34 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 21:28:34 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 21:28:34 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 21:28:34 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 21:28:34 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 21:28:34 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 21:28:34 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 21:28:34 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 21:28:34 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 21:28:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:28:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 21:28:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:28:34 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 21:28:34 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 21:28:34 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:28:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:28:34 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 21:28:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 21:28:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 21:28:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:28:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 21:28:34 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 21:28:34 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:28:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:28:34 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 21:28:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 21:28:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 21:28:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:28:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 21:28:34 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 21:28:34 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:28:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:28:34 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 21:28:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 21:28:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 21:28:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:28:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 21:28:34 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:28:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:28:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-21 21:28:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:28:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:28:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:28:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-21 21:28:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:28:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:28:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:28:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:28:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:28:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:28:34 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:28:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:28:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:28:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:28:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:28:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:28:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:28:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:28:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:28:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:28:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:28:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:28:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:28:34 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 21:28:34 INFO WorkspaceExplorerServiceImpl:142 - end time - 186 msc 0 sec
2016-04-21 21:28:34 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 21:29:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:29:24 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:30:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:30:19 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:32:48 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-21 21:32:48 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-21 21:32:48 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started!
2016-04-21 21:32:48 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:32:48 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:32:48 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:32:48 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:32:48 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@304ad1b1
2016-04-21 21:32:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:32:48 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:32:48 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:32:48 DEBUG TemplateModel:83 - 2016-04-21 21:32:48, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:32:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:32:48 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 21:32:48 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 114 ms
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-21 21:32:48 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-21 21:32:48 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:32:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-21 21:32:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@35fa0fd
2016-04-21 21:32:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@42829a67
2016-04-21 21:32:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@14d8b219
2016-04-21 21:32:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@5b18332b
2016-04-21 21:32:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 107 ms
2016-04-21 21:32:48 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 21:32:48 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-21 21:32:48 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-21 21:32:48 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-21 21:32:48 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-21 21:32:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:32:48 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:32:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-21 21:32:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 19 ms
2016-04-21 21:32:49 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-21 21:32:49 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:32:49 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-21 21:32:49 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:32:49 INFO SessionUtil:49 - no user found in session, use test user
2016-04-21 21:32:49 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-21 21:32:49 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:32:49 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-21 21:32:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:32:49 INFO ASLSession:352 - Logging the entrance
2016-04-21 21:32:49 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-21 21:32:49 DEBUG TemplateModel:83 - 2016-04-21 21:32:49, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-21 21:32:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:32:49 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-21 21:32:49 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:32:49 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:32:49 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:32:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:32:49 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:32:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:32:49 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea()
2016-04-21 21:32:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:32:49 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:32:49 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-21 21:32:49 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-21 21:32:49 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-21 21:32:49 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-21 21:32:49 DEBUG JCRRepository:271 - Initialize repository
2016-04-21 21:32:49 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-21 21:32:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36
2016-04-21 21:32:49 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:32:49 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-21 21:32:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms
2016-04-21 21:32:49 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-21 21:32:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:32:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:32:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:32:49 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-21 21:32:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:32:49 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-21 21:32:49 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 21:32:49 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 21:32:49 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-21 21:32:50 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-21 21:32:50 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-21 21:32:50 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-21 21:32:50 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-21 21:32:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:32:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:32:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:50 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-21 21:32:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:32:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:32:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:32:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:32:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:32:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:32:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-21 21:32:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:32:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:32:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:32:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:32:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:32:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:32:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-21 21:32:50 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:32:50 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-21 21:32:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:32:51 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:32:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:32:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:32:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:32:51 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:32:51 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-21 21:32:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-21 21:32:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:52 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-21 21:32:52 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-21 21:32:52 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:32:52 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:32:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:32:52 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:32:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:32:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:32:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:32:52 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:32:52 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-21 21:32:52 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:32:52 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:32:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:32:52 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:32:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:32:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:32:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:32:52 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:32:52 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-21 21:32:52 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:52 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-21 21:32:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:52 INFO WorkspaceExplorerServiceImpl:188 - end time - 124 msc 0 sec
2016-04-21 21:32:52 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:32:52 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:32:52 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 21:32:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:32:52 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:32:52 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-21 21:32:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms
2016-04-21 21:32:52 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-21 21:32:52 INFO ISClientConnector:82 - found only one RR, take it
2016-04-21 21:32:52 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-21 21:32:52 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:32:52 DEBUG StorageClient:517 - set scope: /gcube
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:32:52 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-21 21:32:52 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-21 21:32:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:32:52 INFO WorkspaceExplorerServiceImpl:188 - end time - 244 msc 0 sec
2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:32:55 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:32:55 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 21:32:55 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:32:55 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:32:55 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:32:55 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 21:32:55 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 21:32:55 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:32:55 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 21:32:55 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 21:32:55 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:32:55 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 21:32:55 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 21:32:55 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 21:32:55 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:32:55 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 21:32:55 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 21:32:55 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 21:32:55 DEBUG WPS2SM:201 - Schema: null
2016-04-21 21:32:55 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 21:32:55 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 21:32:55 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 21:32:55 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:32:55 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 21:32:55 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 21:32:55 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:32:55 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:32:55 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 21:32:55 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 21:32:55 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 21:32:55 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 21:32:55 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 21:32:55 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 21:32:55 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 21:32:55 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 21:32:55 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 21:32:55 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:32:55 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 21:32:55 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:32:55 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 21:32:55 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 21:32:55 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:32:55 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:32:55 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 21:32:55 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 21:32:55 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 21:32:55 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:32:55 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 21:32:55 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 21:32:55 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:32:55 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:32:55 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 21:32:55 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 21:32:55 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 21:32:55 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:32:55 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 21:32:55 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 21:32:55 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:32:55 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:32:55 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 21:32:55 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 21:32:55 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 21:32:55 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:32:55 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 21:32:55 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:32:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:32:55 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:32:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:32:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:32:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:32:55 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:32:55 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:32:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:32:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:32:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:32:55 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:32:55 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:32:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:32:55 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:32:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:32:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:32:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:32:55 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:32:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:32:55 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:32:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:32:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:32:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:32:55 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:32:55 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 21:32:56 INFO WorkspaceExplorerServiceImpl:142 - end time - 195 msc 0 sec
2016-04-21 21:32:56 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 21:33:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:33:44 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:34:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:34:05 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:34:05 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:34:05 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
2016-04-21 21:34:05 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:34:05 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:34:06 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
KMEANS
A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 21:34:06 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input:
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input:
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input:
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 21:34:06 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 21:34:06 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 21:34:06 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 21:34:06 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:34:06 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 21:34:06 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 21:34:06 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 21:34:06 DEBUG WPS2SM:201 - Schema: null
2016-04-21 21:34:06 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 21:34:06 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 21:34:06 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 21:34:06 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 21:34:06 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 21:34:06 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 21:34:06 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 21:34:06 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 21:34:06 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input
2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value: 3
2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters
2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k
2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT]
2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input
2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure
2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs
2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input
2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value: 5
2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps
2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps
2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT]
2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set
2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 21:34:06 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:34:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:06 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:06 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:34:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:06 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:06 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:06 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:34:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:06 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:34:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:06 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:06 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:06 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:06 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 21:34:06 INFO WorkspaceExplorerServiceImpl:142 - end time - 166 msc 0 sec
2016-04-21 21:34:06 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:34:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:34:25 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-21 21:34:25 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:34:25 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:34:25 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:34:25 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 21:34:25 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 21:34:25 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:34:25 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 21:34:25 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-21 21:34:25 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-21 21:34:25 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 21:34:25 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 21:34:25 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 21:34:25 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:34:25 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 21:34:25 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 21:34:25 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 21:34:25 DEBUG WPS2SM:201 - Schema: null
2016-04-21 21:34:25 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 21:34:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 21:34:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 21:34:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:25 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 21:34:25 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 21:34:25 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:34:25 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 21:34:25 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 21:34:25 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 21:34:25 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 21:34:25 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 21:34:25 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 21:34:25 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 21:34:25 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 21:34:25 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 21:34:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:34:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 21:34:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:25 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 21:34:25 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 21:34:25 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:34:25 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 21:34:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 21:34:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 21:34:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 21:34:25 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-21 21:34:25 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:34:25 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 21:34:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-21 21:34:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-21 21:34:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 21:34:25 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 21:34:25 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:34:25 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-21 21:34:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-21 21:34:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 21:34:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-21 21:34:25 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:34:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:34:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:25 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:34:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:34:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:25 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 21:34:25 INFO WorkspaceExplorerServiceImpl:142 - end time - 173 msc 0 sec
2016-04-21 21:34:25 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:34:29 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-21 21:34:29 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
2016-04-21 21:34:29 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:34:29 INFO StatWPSClientSession:84 - CONNECT
2016-04-21 21:34:29 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS
KMEANS
A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 21:34:29 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input:
k
expected Number of Clusters
Name of the parameter: k. expected Number of Clusters
3
2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input:
max_runs
max runs of the clustering procedure
Name of the parameter: max_runs. max runs of the clustering procedure
10
2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input:
max_optimization_steps
max number of internal optimization steps
Name of the parameter: max_optimization_steps. max number of internal optimization steps
5
2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
number of points which define an outlier set
Name of the parameter: min_points. number of points which define an outlier set
2
2016-04-21 21:34:29 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-21 21:34:29 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-21 21:34:29 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-21 21:34:29 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-21 21:34:29 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-21 21:34:29 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-21 21:34:29 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-21 21:34:29 DEBUG WPS2SM:201 - Schema: null
2016-04-21 21:34:29 DEBUG WPS2SM:202 - Encoding: null
2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value:
2016-04-21 21:34:29 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-21 21:34:29 DEBUG WPS2SM:112 - Machter find: true
2016-04-21 21:34:29 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-21 21:34:29 DEBUG WPS2SM:114 - Machter start: 31
2016-04-21 21:34:29 DEBUG WPS2SM:115 - Machter end: 103
2016-04-21 21:34:29 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-21 21:34:29 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-21 21:34:29 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input
2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value: 3
2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters
2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k
2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT]
2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input
2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure
2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs
2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input
2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value: 5
2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps
2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps
2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT]
2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type:
2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value: 2
2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set
2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]
2016-04-21 21:34:29 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]]
2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:34:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:34:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:29 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:34:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:34:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-21 21:34:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-21 21:34:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-21 21:34:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-21 21:34:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-21 21:34:29 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-21 21:34:29 INFO WorkspaceExplorerServiceImpl:142 - end time - 153 msc 0 sec
2016-04-21 21:34:29 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-21 21:34:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:34:39 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:35:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-21 21:35:34 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-21 21:36:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:36:29 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:37:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:37:24 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:38:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-21 21:38:19 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-21 21:39:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:39:14 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-21 21:40:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-21 21:40:09 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-21 21:41:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-21 21:41:04 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-21 21:41:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-21 21:41:59 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-22 12:13:06 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-22 12:13:06 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-22 12:13:06 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started!
2016-04-22 12:13:06 INFO SessionUtil:49 - no user found in session, use test user
2016-04-22 12:13:06 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-22 12:13:06 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-22 12:13:06 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-22 12:13:06 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@38f1c3ab
2016-04-22 12:13:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:13:06 INFO ASLSession:352 - Logging the entrance
2016-04-22 12:13:06 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-22 12:13:06 DEBUG TemplateModel:83 - 2016-04-22 12:13:06, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-22 12:13:06 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:13:06 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-22 12:13:07 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-22 12:13:07 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-22 12:13:07 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-22 12:13:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:13:07 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:13:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:13:07 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea()
2016-04-22 12:13:07 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:13:07 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:13:07 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-22 12:13:07 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-22 12:13:07 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-22 12:13:07 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-22 12:13:07 DEBUG JCRRepository:271 - Initialize repository
2016-04-22 12:13:07 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-22 12:13:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-22 12:13:07 INFO DefaultScanner:63 - matched 28 resources from 113 urls in 116 ms
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-22 12:13:07 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://node5.d.d4science.research-infrastructures.eu:8000/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-22 12:13:08 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:13:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-22 12:13:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@c654c14
2016-04-22 12:13:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@640e40f2
2016-04-22 12:13:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@47dac6cb
2016-04-22 12:13:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@2234b555
2016-04-22 12:13:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 153 ms
2016-04-22 12:13:08 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-22 12:13:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:13:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:13:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:13:08 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-22 12:13:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:13:08 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-22 12:13:09 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-22 12:13:09 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-22 12:13:09 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-22 12:13:09 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-22 12:13:09 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-22 12:13:09 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-22 12:13:09 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-22 12:13:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:13:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:13:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:13:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:13:09 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-22 12:13:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-22 12:13:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:13:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:13:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:13:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:13:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:13:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:13:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:13:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:13:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:13:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-22 12:13:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:13:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:13:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:13:10 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:13:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:13:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:13:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:13:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:13:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:13:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-22 12:13:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:13:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:13:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:13:10 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:13:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:13:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:13:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:13:10 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:13:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:13:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-22 12:13:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:13:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:13:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:13:11 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-22 12:13:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:13:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:13:11 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:13:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:13:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:13:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:13:11 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:13:11 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-22 12:13:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:13:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:13:12 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:13:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:13:12 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:13:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:13:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:13:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:13:12 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:13:12 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-22 12:13:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:13:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:13:12 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-22 12:13:12 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-22 12:13:12 INFO WorkspaceExplorerServiceImpl:188 - end time - 204 msc 0 sec
2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:13:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:13:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-22 12:13:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 26 ms
2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:13:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:13:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-22 12:13:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-22 12:13:12 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-22 12:13:12 INFO ISClientConnector:82 - found only one RR, take it
2016-04-22 12:13:12 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-22 12:13:12 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:13:12 DEBUG StorageClient:517 - set scope: /gcube
2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:13:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:13:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-22 12:13:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:13:12 INFO WorkspaceExplorerServiceImpl:188 - end time - 255 msc 0 sec
2016-04-22 12:14:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:14:01 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-22 12:14:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:14:56 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-22 12:16:14 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-22 12:16:14 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-22 12:16:14 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started!
2016-04-22 12:16:14 INFO SessionUtil:49 - no user found in session, use test user
2016-04-22 12:16:14 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-22 12:16:14 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-22 12:16:14 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-22 12:16:14 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@732cdfc7
2016-04-22 12:16:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:16:14 INFO ASLSession:352 - Logging the entrance
2016-04-22 12:16:14 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-22 12:16:14 DEBUG TemplateModel:83 - 2016-04-22 12:16:14, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-22 12:16:14 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:16:14 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-22 12:16:15 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-22 12:16:15 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-22 12:16:15 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-22 12:16:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-22 12:16:15 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-22 12:16:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:16:15 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea()
2016-04-22 12:16:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:16:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:16:15 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-22 12:16:15 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-22 12:16:15 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-22 12:16:15 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-22 12:16:15 DEBUG JCRRepository:271 - Initialize repository
2016-04-22 12:16:15 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-22 12:16:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36
2016-04-22 12:16:15 INFO DefaultScanner:63 - matched 28 resources from 113 urls in 99 ms
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-22 12:16:15 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://node5.d.d4science.research-infrastructures.eu:8000/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-22 12:16:15 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:16:15 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-22 12:16:15 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@104bb1d6
2016-04-22 12:16:15 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@bdf163b
2016-04-22 12:16:15 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@445738a4
2016-04-22 12:16:15 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@16dd0b4
2016-04-22 12:16:15 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 85 ms
2016-04-22 12:16:15 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-22 12:16:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-22 12:16:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:16:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:16:15 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-22 12:16:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:16:15 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-22 12:16:16 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-22 12:16:16 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-22 12:16:16 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-22 12:16:16 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-22 12:16:16 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-22 12:16:16 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-22 12:16:16 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-22 12:16:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:16:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:16:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:16:16 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-22 12:16:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:16:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:16:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:16:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:16:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:16:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:16:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:16:16 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-22 12:16:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:16:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:16:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:16:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:16:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:16:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:16:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:16:16 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-22 12:16:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:16:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:16:16 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:16:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:16:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:16:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:16:16 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:16:16 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-22 12:16:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:16:17 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:16:17 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:16:17 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:16:17 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:16:17 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:16:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:16:17 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:16:17 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-22 12:16:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:16:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:16:17 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:16:17 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:16:17 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:16:17 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:16:17 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:16:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:16:17 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:16:17 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-22 12:16:17 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-22 12:16:17 INFO WorkspaceExplorerServiceImpl:188 - end time - 128 msc 0 sec
2016-04-22 12:16:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:16:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:16:17 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:16:17 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:16:17 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-22 12:16:17 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 32 ms
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:16:17 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:16:17 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-22 12:16:17 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 37 ms
2016-04-22 12:16:17 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-22 12:16:17 INFO ISClientConnector:82 - found only one RR, take it
2016-04-22 12:16:17 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-22 12:16:17 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:16:17 DEBUG StorageClient:517 - set scope: /gcube
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:16:17 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:16:17 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-22 12:16:17 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 21 ms
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:16:17 INFO WorkspaceExplorerServiceImpl:188 - end time - 322 msc 0 sec
2016-04-22 12:17:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-22 12:17:09 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-22 12:18:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:18:04 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-22 12:18:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:18:59 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:20:15 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-22 12:20:15 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-22 12:20:15 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started!
2016-04-22 12:20:15 INFO SessionUtil:49 - no user found in session, use test user
2016-04-22 12:20:15 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-22 12:20:15 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-22 12:20:15 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-22 12:20:15 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@5607aea6
2016-04-22 12:20:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:20:15 INFO ASLSession:352 - Logging the entrance
2016-04-22 12:20:15 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-22 12:20:15 DEBUG TemplateModel:83 - 2016-04-22 12:20:15, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-22 12:20:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:20:15 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-22 12:20:15 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-22 12:20:15 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-22 12:20:15 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-22 12:20:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-22 12:20:15 DEBUG ASLSession:458 - Getting security token: null in thread 36
2016-04-22 12:20:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:20:15 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea()
2016-04-22 12:20:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:20:15 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:20:15 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-22 12:20:15 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-22 12:20:15 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-22 12:20:15 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-22 12:20:15 DEBUG JCRRepository:271 - Initialize repository
2016-04-22 12:20:15 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-22 12:20:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36
2016-04-22 12:20:16 INFO DefaultScanner:63 - matched 28 resources from 113 urls in 97 ms
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-22 12:20:16 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://node5.d.d4science.research-infrastructures.eu:8000/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-22 12:20:16 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:20:16 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-22 12:20:16 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@7a4f827e
2016-04-22 12:20:16 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@24fedd33
2016-04-22 12:20:16 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@285dadc6
2016-04-22 12:20:16 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@103297ea
2016-04-22 12:20:16 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 68 ms
2016-04-22 12:20:16 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-22 12:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36
2016-04-22 12:20:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:20:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:20:16 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-22 12:20:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:20:16 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-22 12:20:17 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-22 12:20:17 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-22 12:20:17 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-22 12:20:17 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-22 12:20:17 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-22 12:20:17 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-22 12:20:17 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-22 12:20:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:20:17 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:20:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:20:17 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-22 12:20:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:20:17 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:20:17 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:20:17 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:20:17 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:20:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:20:17 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:20:17 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-22 12:20:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:20:17 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:20:17 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:20:17 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:20:17 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:20:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:20:17 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:20:17 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-22 12:20:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:20:17 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:20:17 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:20:17 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:20:17 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:20:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:20:17 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:20:17 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-22 12:20:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:20:18 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:20:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:20:18 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:20:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:20:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:20:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:20:18 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:20:18 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-22 12:20:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:20:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:20:18 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:20:18 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:20:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:20:18 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:20:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:20:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:20:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:20:18 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:20:18 INFO WorkspaceExplorerServiceImpl:188 - end time - 96 msc 0 sec
2016-04-22 12:20:18 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-22 12:20:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:20:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:20:18 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:20:18 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:20:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-22 12:20:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 82 ms
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:20:18 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:20:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-22 12:20:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 20 ms
2016-04-22 12:20:18 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-22 12:20:18 INFO ISClientConnector:82 - found only one RR, take it
2016-04-22 12:20:18 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-22 12:20:18 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:20:18 DEBUG StorageClient:517 - set scope: /gcube
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:20:18 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:20:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-22 12:20:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 22 ms
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:20:18 INFO WorkspaceExplorerServiceImpl:188 - end time - 300 msc 0 sec
2016-04-22 12:21:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:21:10 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:22:23 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-22 12:22:23 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-22 12:22:23 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started!
2016-04-22 12:22:23 INFO SessionUtil:49 - no user found in session, use test user
2016-04-22 12:22:23 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-22 12:22:23 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-22 12:22:23 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-22 12:22:23 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@8bf46d6
2016-04-22 12:22:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:22:23 INFO ASLSession:352 - Logging the entrance
2016-04-22 12:22:23 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-22 12:22:23 DEBUG TemplateModel:83 - 2016-04-22 12:22:23, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-22 12:22:23 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:22:23 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-22 12:22:24 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-22 12:22:24 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-22 12:22:24 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-22 12:22:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:22:24 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-22 12:22:24 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:22:24 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea()
2016-04-22 12:22:24 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:22:24 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:22:24 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-22 12:22:24 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-22 12:22:24 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-22 12:22:24 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-22 12:22:24 DEBUG JCRRepository:271 - Initialize repository
2016-04-22 12:22:24 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-22 12:22:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30
2016-04-22 12:22:24 INFO DefaultScanner:63 - matched 28 resources from 113 urls in 107 ms
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-22 12:22:24 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://node5.d.d4science.research-infrastructures.eu:8000/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-22 12:22:24 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:22:24 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-22 12:22:24 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@7760fcd2
2016-04-22 12:22:24 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@703c767c
2016-04-22 12:22:24 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@28619ab1
2016-04-22 12:22:24 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@63840778
2016-04-22 12:22:24 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 71 ms
2016-04-22 12:22:24 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-22 12:22:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:22:24 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:22:24 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:22:24 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-22 12:22:24 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:22:24 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-22 12:22:25 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-22 12:22:25 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-22 12:22:25 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-22 12:22:25 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-22 12:22:25 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-22 12:22:25 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-22 12:22:25 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-22 12:22:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:22:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:22:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:22:25 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-22 12:22:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:22:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:22:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:22:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:22:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:22:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:22:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:22:25 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-22 12:22:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:22:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:22:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:22:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:22:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:22:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:22:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:22:25 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-22 12:22:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:22:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:22:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:22:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:22:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:22:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:22:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:22:25 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-22 12:22:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:22:27 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:22:27 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:22:27 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:22:27 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:22:27 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:22:27 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:22:27 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:22:27 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-22 12:22:27 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:22:27 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-22 12:22:27 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-22 12:22:27 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:22:27 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:22:27 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:22:27 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:22:27 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:22:27 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:22:27 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-22 12:22:27 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-22 12:22:27 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:22:27 INFO WorkspaceExplorerServiceImpl:188 - end time - 133 msc 0 sec
2016-04-22 12:22:27 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:22:27 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-22 12:22:27 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:22:27 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-22 12:22:27 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 72 ms
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-22 12:22:27 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:22:27 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-22 12:22:27 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms
2016-04-22 12:22:27 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-22 12:22:27 INFO ISClientConnector:82 - found only one RR, take it
2016-04-22 12:22:27 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-22 12:22:27 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-22 12:22:27 DEBUG StorageClient:517 - set scope: /gcube
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-22 12:22:27 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:22:27 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-22 12:22:27 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-22 12:22:27 INFO WorkspaceExplorerServiceImpl:188 - end time - 299 msc 0 sec
2016-04-22 12:23:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:23:18 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-22 12:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-22 12:25:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:25:08 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-22 12:26:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:26:03 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:26:42 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-22 12:26:42 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-22 12:26:42 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started!
2016-04-22 12:26:42 INFO SessionUtil:49 - no user found in session, use test user
2016-04-22 12:26:42 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-22 12:26:42 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:26:42 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-22 12:26:42 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@4f10766e
2016-04-22 12:26:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:26:42 INFO ASLSession:352 - Logging the entrance
2016-04-22 12:26:42 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-22 12:26:42 DEBUG TemplateModel:83 - 2016-04-22 12:26:42, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-22 12:26:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:26:42 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-22 12:26:43 INFO SessionUtil:49 - no user found in session, use test user
2016-04-22 12:26:43 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-22 12:26:43 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-22 12:26:43 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-22 12:26:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:26:43 INFO ASLSession:352 - Logging the entrance
2016-04-22 12:26:43 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-22 12:26:43 DEBUG TemplateModel:83 - 2016-04-22 12:26:43, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-22 12:26:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:26:43 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-22 12:26:44 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 113 ms
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-22 12:26:44 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-22 12:26:44 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:26:44 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-22 12:26:44 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@7db5b8e0
2016-04-22 12:26:44 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@2b8c224f
2016-04-22 12:26:44 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@25ffa2ab
2016-04-22 12:26:44 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@d0cbc4c
2016-04-22 12:26:44 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 100 ms
2016-04-22 12:26:44 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-22 12:26:44 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-22 12:26:44 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-22 12:26:44 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-22 12:26:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:26:44 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:26:44 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:26:44 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea()
2016-04-22 12:26:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:26:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:26:44 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-22 12:26:44 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-22 12:26:44 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-22 12:26:44 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-22 12:26:44 DEBUG JCRRepository:271 - Initialize repository
2016-04-22 12:26:44 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-22 12:26:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-22 12:26:44 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:26:44 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-22 12:26:44 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-22 12:26:44 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-22 12:26:44 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-22 12:26:44 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-22 12:26:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:26:44 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:26:44 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-22 12:26:44 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 26 ms
2016-04-22 12:26:44 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-22 12:26:44 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-22 12:26:44 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-22 12:26:44 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 79 ms
2016-04-22 12:26:44 INFO StatWPSClientSession:84 - CONNECT
2016-04-22 12:26:44 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-22 12:26:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:26:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:26:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:26:44 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-22 12:26:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:26:44 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-22 12:26:45 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-22 12:26:45 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-22 12:26:45 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-22 12:26:45 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-22 12:26:45 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-22 12:26:45 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-22 12:26:45 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-22 12:26:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:26:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:26:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:26:45 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-22 12:26:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:26:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:26:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:26:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:26:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:26:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:26:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:26:45 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-22 12:26:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:26:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:26:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:26:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:26:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:26:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:26:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:26:45 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-22 12:26:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:26:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:26:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:26:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:26:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:26:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:26:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:26:46 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:26:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-22 12:26:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:26:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:26:46 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:26:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:26:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:26:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:26:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:26:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:26:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:26:46 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-22 12:26:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:26:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:26:46 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:26:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:26:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:26:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:26:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:26:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:26:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:26:46 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-22 12:26:46 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-22 12:26:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 123 msc 0 sec
2016-04-22 12:26:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:26:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:26:46 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:26:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:26:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-22 12:26:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 22 ms
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:26:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:26:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-22 12:26:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 24 ms
2016-04-22 12:26:46 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-22 12:26:46 INFO ISClientConnector:82 - found only one RR, take it
2016-04-22 12:26:46 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-22 12:26:46 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:26:46 DEBUG StorageClient:517 - set scope: /gcube
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:26:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-22 12:26:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-22 12:26:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35
2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:26:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 240 msc 0 sec
2016-04-22 12:26:47 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-22 12:26:47 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-22 12:27:33 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-22 12:27:33 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-22 12:27:33 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-22 12:27:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-22 12:27:33 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-22 12:27:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:27:33 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-22 12:27:33 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-22 12:27:33 INFO StatWPSClientSession:84 - CONNECT
2016-04-22 12:27:34 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-22 12:27:34 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-22 12:27:34 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-22 12:27:34 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-22 12:27:34 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-22 12:27:34 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-22 12:27:34 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-22 12:27:34 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-22 12:27:34 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-22 12:27:34 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-22 12:27:34 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-22 12:27:34 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-22 12:27:34 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-22 12:27:34 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-22 12:27:34 DEBUG WPS2SM:201 - Schema: null
2016-04-22 12:27:34 DEBUG WPS2SM:202 - Encoding: null
2016-04-22 12:27:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-22 12:27:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-22 12:27:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-22 12:27:34 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-22 12:27:34 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-22 12:27:34 DEBUG WPS2SM:93 - WPS type:
2016-04-22 12:27:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-22 12:27:34 DEBUG WPS2SM:101 - Guessed default value:
2016-04-22 12:27:34 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-22 12:27:34 DEBUG WPS2SM:112 - Machter find: true
2016-04-22 12:27:34 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-22 12:27:34 DEBUG WPS2SM:114 - Machter start: 31
2016-04-22 12:27:34 DEBUG WPS2SM:115 - Machter end: 103
2016-04-22 12:27:34 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-22 12:27:34 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-22 12:27:34 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-22 12:27:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-22 12:27:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-22 12:27:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-22 12:27:34 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-22 12:27:34 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-22 12:27:34 DEBUG WPS2SM:93 - WPS type:
2016-04-22 12:27:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-22 12:27:34 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-22 12:27:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-22 12:27:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-22 12:27:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-22 12:27:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-22 12:27:34 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-22 12:27:34 DEBUG WPS2SM:93 - WPS type:
2016-04-22 12:27:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-22 12:27:34 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-22 12:27:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-22 12:27:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-22 12:27:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-22 12:27:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-22 12:27:34 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-22 12:27:34 DEBUG WPS2SM:93 - WPS type:
2016-04-22 12:27:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-22 12:27:34 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-22 12:27:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-22 12:27:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-22 12:27:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-22 12:27:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-22 12:27:34 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-22 12:27:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:27:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:27:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:27:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:27:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:27:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:27:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:27:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:27:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:27:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:27:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:27:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:27:34 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:27:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:27:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:27:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:27:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:27:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:27:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:27:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:27:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:27:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:27:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:27:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:27:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:27:34 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-22 12:27:34 INFO WorkspaceExplorerServiceImpl:142 - end time - 197 msc 0 sec
2016-04-22 12:27:34 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-22 12:27:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:27:37 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-22 12:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:28:32 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-22 12:28:44 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-22 12:28:44 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-22 12:28:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:28:44 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-22 12:28:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:28:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:44 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-22 12:28:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:28:44 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-22 12:28:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:28:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:44 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-22 12:28:44 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-22 12:28:44 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-22 12:28:44 DEBUG ServiceEngine:306 - get() - start
2016-04-22 12:28:44 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:28:44 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:28:44 DEBUG ServiceEngine:62 - path(String) - name: StatisticalTest
2016-04-22 12:28:44 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/
2016-04-22 12:28:44 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-22 12:28:44 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-22 12:28:44 INFO OperationFactory:39 - getOperation(String) - start getFolderSize
2016-04-22 12:28:44 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-22 12:28:44 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/
2016-04-22 12:28:44 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:28:44 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:28:44 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-22 12:28:44 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-22 12:28:44 DEBUG MongoIO:77 - open mongo connection
2016-04-22 12:28:44 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-22 12:28:44 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:44 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:44 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:44 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-22 12:28:44 INFO MongoIO:106 - new mongo connection pool opened
2016-04-22 12:28:44 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-22 12:28:44 INFO connection:71 - Opened connection [connectionId{localValue:1, serverValue:1642069}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:44 INFO connection:71 - Opened connection [connectionId{localValue:2, serverValue:49647}] to mongo2-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:44 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1665185, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:44 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1640704, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:44 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-22 12:28:44 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:44 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:44 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:44 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:44 INFO connection:71 - Opened connection [connectionId{localValue:5, serverValue:1642070}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG command:56 - Command execution completed
2016-04-22 12:28:44 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG command:56 - Command execution completed
2016-04-22 12:28:44 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG command:56 - Command execution completed
2016-04-22 12:28:44 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-22 12:28:44 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG command:56 - Command execution completed
2016-04-22 12:28:44 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG command:56 - Command execution completed
2016-04-22 12:28:44 INFO connection:71 - Opened connection [connectionId{localValue:4, serverValue:1947249}] to mongo1-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-22 12:28:44 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1052750, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:44 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:44 INFO connection:71 - Opened connection [connectionId{localValue:3, serverValue:1360665}] to mongo4-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-22 12:28:44 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:44 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1334621, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:44 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}]
2016-04-22 12:28:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:28:45 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-22 12:28:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:28:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:28:45 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-22 12:28:45 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-22 12:28:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:28:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:45 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:45 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:45 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-22 12:28:45 INFO JCRServlets:697 - Calling Servlet get Parents By Id 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-22 12:28:45 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-22 12:28:45 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-22 12:28:45 INFO WorkspaceExplorerServiceImpl:188 - end time - 58 msc 0 sec
2016-04-22 12:28:45 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-22 12:28:45 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-22 12:28:45 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null]
2016-04-22 12:28:45 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=25.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}]
2016-04-22 12:28:45 DEBUG query:56 - Query completed
2016-04-22 12:28:45 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 7 objects
2016-04-22 12:28:45 DEBUG connection:56 - Closing connection connectionId{localValue:4, serverValue:1947249}
2016-04-22 12:28:45 DEBUG connection:56 - Closing connection connectionId{localValue:3, serverValue:1360665}
2016-04-22 12:28:45 INFO connection:71 - Closed connection [connectionId{localValue:5, serverValue:1642070}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-22 12:28:45 DEBUG connection:56 - Closing connection connectionId{localValue:2, serverValue:49647}
2016-04-22 12:28:45 DEBUG connection:56 - Closing connection connectionId{localValue:5, serverValue:1642070}
2016-04-22 12:28:45 DEBUG connection:56 - Closing connection connectionId{localValue:1, serverValue:1642069}
2016-04-22 12:28:45 INFO MongoIO:508 - Mongo has been closed
2016-04-22 12:28:45 INFO DefaultMongoClient:1329 - getFolderTotalVolume 130827 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-22 12:28:45 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-22 12:28:45 INFO WorkspaceExplorerServiceImpl:503 - returning size: 130827
2016-04-22 12:28:46 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-22 12:28:46 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:28:46 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:28:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:46 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:28:46 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:28:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-22 12:28:46 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi
2016-04-22 12:28:46 DEBUG ServiceEngine:306 - get() - start
2016-04-22 12:28:46 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:28:46 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:28:46 DEBUG ServiceEngine:62 - path(String) - name: DBScan
2016-04-22 12:28:46 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/
2016-04-22 12:28:46 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-22 12:28:46 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-22 12:28:46 INFO OperationFactory:39 - getOperation(String) - start getFolderSize
2016-04-22 12:28:46 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-22 12:28:46 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/
2016-04-22 12:28:46 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:28:46 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:28:46 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-22 12:28:46 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-22 12:28:46 DEBUG MongoIO:77 - open mongo connection
2016-04-22 12:28:46 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-22 12:28:46 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:46 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:46 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:46 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-22 12:28:46 INFO MongoIO:106 - new mongo connection pool opened
2016-04-22 12:28:46 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-22 12:28:46 INFO connection:71 - Opened connection [connectionId{localValue:6, serverValue:49649}] to mongo2-d-d4s.d4science.org:27017
2016-04-22 12:28:46 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-22 12:28:46 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1390655, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:46 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-22 12:28:46 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:46 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:46 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:46 INFO connection:71 - Opened connection [connectionId{localValue:9, serverValue:1947250}] to mongo1-d-d4s.d4science.org:27017
2016-04-22 12:28:46 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-22 12:28:46 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1084137, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:46 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:46 INFO connection:71 - Opened connection [connectionId{localValue:7, serverValue:1642071}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:46 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:46 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1571718, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:46 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:46 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:28:46 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-22 12:28:46 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:28:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:28:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:46 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:46 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:46 INFO connection:71 - Opened connection [connectionId{localValue:8, serverValue:1360667}] to mongo4-d-d4s.d4science.org:27017
2016-04-22 12:28:46 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-22 12:28:46 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1321822, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:46 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}]
2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-22 12:28:46 INFO connection:71 - Opened connection [connectionId{localValue:10, serverValue:1642072}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:46 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:46 DEBUG command:56 - Command execution completed
2016-04-22 12:28:46 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:46 DEBUG command:56 - Command execution completed
2016-04-22 12:28:46 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:46 DEBUG command:56 - Command execution completed
2016-04-22 12:28:46 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan
2016-04-22 12:28:46 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:46 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi
2016-04-22 12:28:46 DEBUG command:56 - Command execution completed
2016-04-22 12:28:46 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:46 INFO JCRServlets:697 - Calling Servlet get Parents By Id 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi
2016-04-22 12:28:46 DEBUG command:56 - Command execution completed
2016-04-22 12:28:46 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 35 msc 0 sec
2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-22 12:28:46 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=7ba62008-739a-4787-ae33-7938ad109a54, name=DBScan, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-22 12:28:46 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-22 12:28:46 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null]
2016-04-22 12:28:47 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-22 12:28:47 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}]
2016-04-22 12:28:47 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-22 12:28:47 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}]
2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-22 12:28:47 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-22 12:28:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:518 - get MimeType By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:28:47 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:28:47 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-22 12:28:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-22 12:28:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:47 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:47 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:47 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-22 12:28:47 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-22 12:28:47 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849
2016-04-22 12:28:47 DEBUG query:56 - Query completed
2016-04-22 12:28:47 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 1 objects
2016-04-22 12:28:47 DEBUG connection:56 - Closing connection connectionId{localValue:9, serverValue:1947250}
2016-04-22 12:28:47 DEBUG connection:56 - Closing connection connectionId{localValue:6, serverValue:49649}
2016-04-22 12:28:47 DEBUG connection:56 - Closing connection connectionId{localValue:8, serverValue:1360667}
2016-04-22 12:28:47 INFO connection:71 - Closed connection [connectionId{localValue:10, serverValue:1642072}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-22 12:28:47 DEBUG connection:56 - Closing connection connectionId{localValue:10, serverValue:1642072}
2016-04-22 12:28:47 DEBUG connection:56 - Closing connection connectionId{localValue:7, serverValue:1642071}
2016-04-22 12:28:47 INFO MongoIO:508 - Mongo has been closed
2016-04-22 12:28:47 INFO DefaultMongoClient:1329 - getFolderTotalVolume 849 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan
2016-04-22 12:28:47 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan
2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849
2016-04-22 12:28:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:28:48 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-22 12:28:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:28:48 DEBUG DataMinerManagerServiceImpl:387 - retrieveTableInformation(): Item [id=13d0382e-8833-4df7-b4dc-61bbba61b3e5, name=hcaf_filtered.csv, type=EXTERNAL_FILE, path=/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv, children=[], owner=giancarlo.panichi, isFolder=false, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=Wed Mar 09 17:10:22 CET 2016]
2016-04-22 12:28:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:48 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-22 12:28:48 DEBUG ServiceEngine:193 - get() - start
2016-04-22 12:28:48 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:28:48 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:28:48 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv
2016-04-22 12:28:48 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/
2016-04-22 12:28:48 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-22 12:28:48 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-22 12:28:48 INFO OperationFactory:39 - getOperation(String) - start download
2016-04-22 12:28:48 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-22 12:28:48 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:28:48 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:28:48 DEBUG Download:57 - DOWNLOAD /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv in bucket: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-22 12:28:48 DEBUG Operation:173 - get(String) - start
2016-04-22 12:28:48 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-22 12:28:48 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-22 12:28:48 DEBUG MongoIO:77 - open mongo connection
2016-04-22 12:28:48 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:48 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-22 12:28:48 INFO MongoIO:106 - new mongo connection pool opened
2016-04-22 12:28:48 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:11, serverValue:49650}] to mongo2-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1279534, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:48 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:14, serverValue:1947251}] to mongo1-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=902231, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:12, serverValue:1642075}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1338809, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:48 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:13, serverValue:1360669}] to mongo4-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1324289, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}]
2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:15, serverValue:1642076}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 INFO DefaultMongoClient:96 - MongoClient get method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM]
2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-22 12:28:48 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG query:56 - Query completed
2016-04-22 12:28:48 INFO MongoIO:186 - object found hcaf_filtered.csv
2016-04-22 12:28:48 INFO DefaultMongoClient:1047 - MongoClient download method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM]
2016-04-22 12:28:48 INFO DefaultMongoClient:1491 - set last operation: DOWNLOAD
2016-04-22 12:28:48 DEBUG update:56 - Updating documents in namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG update:56 - Update completed
2016-04-22 12:28:48 DEBUG query:56 - Sending query of namespace remotefs.fs.chunks on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG query:56 - Query completed
2016-04-22 12:28:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:28:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:28:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:28:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:28:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:28:48 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:28:48 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-22 12:28:48 INFO JCRWorkspaceItem:998 - get PublicLink for item: hcaf_filtered.csv
2016-04-22 12:28:48 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube
2016-04-22 12:28:48 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube
2016-04-22 12:28:48 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:28:48 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:28:48 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv
2016-04-22 12:28:48 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/
2016-04-22 12:28:48 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube
2016-04-22 12:28:48 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-22 12:28:48 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared
2016-04-22 12:28:48 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl
2016-04-22 12:28:48 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-22 12:28:48 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:28:48 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:28:48 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-22 12:28:48 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-22 12:28:48 DEBUG MongoIO:77 - open mongo connection
2016-04-22 12:28:48 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:48 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-22 12:28:48 INFO MongoIO:106 - new mongo connection pool opened
2016-04-22 12:28:48 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:16, serverValue:49651}] to mongo2-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1221613, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:48 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:19, serverValue:1947252}] to mongo1-d-d4s.d4science.org:27017
2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:17, serverValue:1642077}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=955504, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1472069, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:48 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:18, serverValue:1360670}] to mongo4-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1482385, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}]
2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:20, serverValue:1642078}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-22 12:28:48 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG command:56 - Command execution completed
2016-04-22 12:28:48 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-22 12:28:48 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG query:56 - Query completed
2016-04-22 12:28:48 INFO MongoIO:186 - object found hcaf_filtered.csv
2016-04-22 12:28:48 DEBUG connection:56 - Closing connection connectionId{localValue:19, serverValue:1947252}
2016-04-22 12:28:48 DEBUG connection:56 - Closing connection connectionId{localValue:16, serverValue:49651}
2016-04-22 12:28:48 DEBUG connection:56 - Closing connection connectionId{localValue:18, serverValue:1360670}
2016-04-22 12:28:48 INFO connection:71 - Closed connection [connectionId{localValue:20, serverValue:1642078}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-22 12:28:48 DEBUG connection:56 - Closing connection connectionId{localValue:20, serverValue:1642078}
2016-04-22 12:28:48 INFO MongoIO:508 - Mongo has been closed
2016-04-22 12:28:48 DEBUG connection:56 - Closing connection connectionId{localValue:17, serverValue:1642077}
2016-04-22 12:28:48 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-22 12:28:48 INFO Operation:55 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-22 12:28:48 INFO Operation:57 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-22 12:28:48 DEBUG Operation:87 - translating: http://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-22 12:28:48 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/
2016-04-22 12:28:48 DEBUG Operation:93 - get params: http://data-d.d4science.org/ 8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-22 12:28:48 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-22 12:28:48 INFO Operation:65 - URL translated: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}]
2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=2.1 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}]
2016-04-22 12:28:51 DEBUG connection:56 - Closing connection connectionId{localValue:14, serverValue:1947251}
2016-04-22 12:28:51 DEBUG connection:56 - Closing connection connectionId{localValue:11, serverValue:49650}
2016-04-22 12:28:51 DEBUG connection:56 - Closing connection connectionId{localValue:13, serverValue:1360669}
2016-04-22 12:28:51 INFO connection:71 - Closed connection [connectionId{localValue:15, serverValue:1642076}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-22 12:28:51 DEBUG connection:56 - Closing connection connectionId{localValue:15, serverValue:1642076}
2016-04-22 12:28:51 DEBUG connection:56 - Closing connection connectionId{localValue:12, serverValue:1642075}
2016-04-22 12:29:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-22 12:29:25 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-22 12:29:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:29:25 DEBUG DataMinerManagerServiceImpl:149 - StartComputation(): [computationTitle=Dbscan-2016-04-22 12:27, computationDescription=Dbscan-2016-04-22 12:27, operator=Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[TabularParameter [tableName=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0, templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=Test, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=10, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=1, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]], hasImage=false]]
2016-04-22 12:29:25 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-22 12:29:25 INFO StatWPSClientSession:84 - CONNECT
2016-04-22 12:29:25 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-22 12:29:25 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-22 12:29:25 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-22 12:29:25 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-22 12:29:25 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-22 12:29:25 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-22 12:29:25 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-22 12:29:25 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-22 12:29:25 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-22 12:29:25 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-22 12:29:25 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-22 12:29:25 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-22 12:29:25 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-22 12:29:25 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-22 12:29:25 DEBUG WPS2SM:201 - Schema: null
2016-04-22 12:29:25 DEBUG WPS2SM:202 - Encoding: null
2016-04-22 12:29:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-22 12:29:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-22 12:29:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-22 12:29:25 DEBUG SClient4WPS:681 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-22 12:29:25 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-22 12:29:25 DEBUG WPS2SM:93 - WPS type:
2016-04-22 12:29:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-22 12:29:25 DEBUG WPS2SM:101 - Guessed default value:
2016-04-22 12:29:25 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-22 12:29:25 DEBUG WPS2SM:112 - Machter find: true
2016-04-22 12:29:25 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-22 12:29:25 DEBUG WPS2SM:114 - Machter start: 31
2016-04-22 12:29:25 DEBUG WPS2SM:115 - Machter end: 103
2016-04-22 12:29:25 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-22 12:29:25 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-22 12:29:25 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-22 12:29:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-22 12:29:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-22 12:29:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-22 12:29:25 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-22 12:29:25 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-22 12:29:25 DEBUG WPS2SM:93 - WPS type:
2016-04-22 12:29:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-22 12:29:25 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-22 12:29:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-22 12:29:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-22 12:29:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-22 12:29:25 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-22 12:29:25 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-22 12:29:25 DEBUG WPS2SM:93 - WPS type:
2016-04-22 12:29:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-22 12:29:25 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-22 12:29:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-22 12:29:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-22 12:29:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-22 12:29:25 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-22 12:29:25 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-22 12:29:25 DEBUG WPS2SM:93 - WPS type:
2016-04-22 12:29:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-22 12:29:25 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-22 12:29:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-22 12:29:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-22 12:29:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-22 12:29:25 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-22 12:29:25 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsTable, value=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-22 12:29:25 DEBUG SClient4WPS:689 - UserInputs= key:FeaturesColumnNames, value=depthmean|sstmnmax|salinitymean
2016-04-22 12:29:25 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsClusterLabel, value=Test
2016-04-22 12:29:25 DEBUG SClient4WPS:689 - UserInputs= key:epsilon, value=10
2016-04-22 12:29:25 DEBUG SClient4WPS:689 - UserInputs= key:min_points, value=1
2016-04-22 12:29:25 DEBUG SClient4WPS:748 - Configuring Complex: OccurrencePointsTable to: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-22 12:29:25 DEBUG SClient4WPS:731 - Configuring Literal: FeaturesColumnNames to: depthmean|sstmnmax|salinitymean
2016-04-22 12:29:25 DEBUG SClient4WPS:731 - Configuring Literal: OccurrencePointsClusterLabel to: Test
2016-04-22 12:29:25 DEBUG SClient4WPS:731 - Configuring Literal: epsilon to: 10
2016-04-22 12:29:25 DEBUG SClient4WPS:731 - Configuring Literal: min_points to: 1
2016-04-22 12:29:25 INFO StatWPSClientSession:84 - CONNECT
2016-04-22 12:29:26 DEBUG SClient4WPS:380 - Sending:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
OccurrencePointsTable
FeaturesColumnNames
depthmean|sstmnmax|salinitymean
OccurrencePointsClusterLabel
Test
epsilon
10
min_points
1
2016-04-22 12:29:26 DEBUG StatWPSClientSession:420 - RetrieveDataViaPost(): http://dataminer1-d-d4s.d4science.org:80/wps/WebProcessingService?
2016-04-22 12:29:26 DEBUG SClient4WPS:399 - Retrieved ProcessLocation: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27
2016-04-22 12:29:26 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-22 12:29:26 DEBUG SClient4WPS:768 - Starting Process: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27
2016-04-22 12:29:26 DEBUG SClient4WPS:695 - Stated Computation ProcessLocation:http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27
2016-04-22 12:29:26 DEBUG SClient4WPS:706 - ComputationId: ComputationId [id=31560712-cd81-4ea4-864b-86d8fd777d27, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27]
2016-04-22 12:29:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-22 12:29:27 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-22 12:29:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:29:36 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-22 12:29:36 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:29:36 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=31560712-cd81-4ea4-864b-86d8fd777d27, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27]
2016-04-22 12:29:36 INFO StatWPSClientSession:114 - CONNECT
2016-04-22 12:29:36 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-22 12:29:36 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27
2016-04-22 12:29:36 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-22 12:29:36 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-22 12:29:36 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-22 12:29:36 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
Process successful
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
depthmean,sstmnmax,salinitymean,clusterid,outlier
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
non_deterministic_output
NonDeterministicOutput
http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
2016-04-22 12:29:36 DEBUG SClient4WPS:858 - WPS SUCCESS
2016-04-22 12:29:36 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=100.0, status=COMPLETE, endDate=null, message=null, errResource=null]
2016-04-22 12:29:36 DEBUG Log:91 - getResourceByComputationId: ComputationId [id=31560712-cd81-4ea4-864b-86d8fd777d27, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27]
2016-04-22 12:29:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:29:36 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-22 12:29:36 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:29:36 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:OutputTable
2016-04-22 12:29:36 DEBUG WPS2SM:315 - Conversion to SM Type->Title:Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
2016-04-22 12:29:36 DEBUG WPS2SM:331 - Complex Output
2016-04-22 12:29:36 DEBUG WPS2SM:200 - MimeType: text/csv
2016-04-22 12:29:36 DEBUG WPS2SM:201 - Schema: null
2016-04-22 12:29:36 DEBUG WPS2SM:202 - Encoding: null
2016-04-22 12:29:36 DEBUG SClient4WPS:932 - OutputParameter: TabularParameter [tableName= , templates=[], name=OutputTable, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], typology=TABULAR]
2016-04-22 12:29:36 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:non_deterministic_output
2016-04-22 12:29:36 DEBUG WPS2SM:315 - Conversion to SM Type->Title:NonDeterministicOutput
2016-04-22 12:29:36 DEBUG WPS2SM:331 - Complex Output
2016-04-22 12:29:36 DEBUG WPS2SM:200 - MimeType: text/xml; subtype=gml/2.1.2
2016-04-22 12:29:36 DEBUG WPS2SM:201 - Schema: http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-22 12:29:36 DEBUG WPS2SM:202 - Encoding: null
2016-04-22 12:29:36 DEBUG SClient4WPS:932 - OutputParameter: FileParameter [mimeType=text/xml; subtype=gml/2.1.2, value=null, name=non_deterministic_output, description=NonDeterministicOutput, typology=FILE]
2016-04-22 12:29:36 DEBUG SClient4WPS:419 - RetrieveProcessResult: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27
2016-04-22 12:29:36 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27
2016-04-22 12:29:36 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-22 12:29:36 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-22 12:29:36 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-22 12:29:36 DEBUG SClient4WPS:430 - Response:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
Process successful
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
depthmean,sstmnmax,salinitymean,clusterid,outlier
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
non_deterministic_output
NonDeterministicOutput
http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
2016-04-22 12:29:36 DEBUG SClient4WPS:946 - Process Executed
2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData
2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: #text
2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData
2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: ogr:FeatureCollection
2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: gml:featureMember
2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: ogr:Result
2016-04-22 12:29:36 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0
2016-04-22 12:29:36 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
2016-04-22 12:29:36 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:text/csv
2016-04-22 12:29:36 DEBUG SClient4WPS:499 - ResponseWPS Map: F0-->ResponseWPS [data=http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], mimeType=text/csv]
2016-04-22 12:29:36 DEBUG SClient4WPS:994 - Adding OBJ:F0
2016-04-22 12:29:36 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0, name=F0, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], typology=OBJECT]
2016-04-22 12:29:36 DEBUG Log:91 - Resoure: MapResource [map={F0=FileResource [url=http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0, mimeType=text/csv, getResourceId()=F0, getName()=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], getDescription()=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], getResourceType()=FILE]}, getResourceId()=mapResource, getName()=Resources, getDescription()=Resources, getResourceType()=MAP]
2016-04-22 12:30:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:30:22 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-22 12:31:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:31:17 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-22 12:31:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-22 12:31:25 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-22 12:31:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:31:25 DEBUG DataMinerManagerServiceImpl:425 - GetPublicLink(): ItemDescription [id=8cd725df-abd2-46d1-a2ff-2704a4655afa, name=test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3], owner=giancarlo.panichi, path=/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3], type=EXTERNAL_FILE, publicLink=null]
2016-04-22 12:31:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:31:25 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:31:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:31:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:31:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:31:25 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:31:25 INFO JCRServlets:267 - Servlet getItemById 8cd725df-abd2-46d1-a2ff-2704a4655afa
2016-04-22 12:31:25 INFO JCRWorkspaceItem:998 - get PublicLink for item: test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:25 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube
2016-04-22 12:31:25 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube
2016-04-22 12:31:25 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:31:25 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:31:25 DEBUG ServiceEngine:62 - path(String) - name: test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:25 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/
2016-04-22 12:31:25 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube
2016-04-22 12:31:25 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-22 12:31:25 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared
2016-04-22 12:31:25 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl
2016-04-22 12:31:25 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-22 12:31:25 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:31:25 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:31:25 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-22 12:31:25 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-22 12:31:25 DEBUG MongoIO:77 - open mongo connection
2016-04-22 12:31:25 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-22 12:31:25 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:25 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:25 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:25 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-22 12:31:25 INFO MongoIO:106 - new mongo connection pool opened
2016-04-22 12:31:25 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-22 12:31:25 INFO connection:71 - Opened connection [connectionId{localValue:21, serverValue:49813}] to mongo2-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-22 12:31:25 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1356038, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:25 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-22 12:31:25 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:25 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:25 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:25 INFO connection:71 - Opened connection [connectionId{localValue:22, serverValue:1642297}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:25 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1610724, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:25 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:25 INFO connection:71 - Opened connection [connectionId{localValue:24, serverValue:1947374}] to mongo1-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-22 12:31:25 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1286629, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:25 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:25 INFO connection:71 - Opened connection [connectionId{localValue:23, serverValue:1360792}] to mongo4-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-22 12:31:25 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1785990, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:25 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.8 ms, state=CONNECTED}]
2016-04-22 12:31:25 INFO connection:71 - Opened connection [connectionId{localValue:25, serverValue:1642298}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG command:56 - Command execution completed
2016-04-22 12:31:25 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG command:56 - Command execution completed
2016-04-22 12:31:25 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG command:56 - Command execution completed
2016-04-22 12:31:25 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:25 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:25 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG command:56 - Command execution completed
2016-04-22 12:31:25 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG command:56 - Command execution completed
2016-04-22 12:31:25 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:25 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:25 DEBUG query:56 - Query completed
2016-04-22 12:31:25 INFO MongoIO:186 - object found test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:25 DEBUG connection:56 - Closing connection connectionId{localValue:24, serverValue:1947374}
2016-04-22 12:31:25 DEBUG connection:56 - Closing connection connectionId{localValue:23, serverValue:1360792}
2016-04-22 12:31:25 DEBUG connection:56 - Closing connection connectionId{localValue:21, serverValue:49813}
2016-04-22 12:31:25 INFO connection:71 - Closed connection [connectionId{localValue:25, serverValue:1642298}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-22 12:31:25 DEBUG connection:56 - Closing connection connectionId{localValue:25, serverValue:1642298}
2016-04-22 12:31:25 INFO MongoIO:508 - Mongo has been closed
2016-04-22 12:31:25 DEBUG connection:56 - Closing connection connectionId{localValue:22, serverValue:1642297}
2016-04-22 12:31:25 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:25 INFO Operation:55 - URL generated: smp://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc=
2016-04-22 12:31:25 INFO Operation:57 - URL generated: smp://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc=
2016-04-22 12:31:25 DEBUG Operation:87 - translating: http://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc=
2016-04-22 12:31:25 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/
2016-04-22 12:31:25 DEBUG Operation:93 - get params: http://data-d.d4science.org/ fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc=
2016-04-22 12:31:25 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/ZlJwVm5TeFRlc2xxUmhYZ0pWd0RHclFwWHlUWVpuakpHbWJQNStIS0N6Yz0
2016-04-22 12:31:25 INFO Operation:65 - URL translated: http://data-d.d4science.org/ZlJwVm5TeFRlc2xxUmhYZ0pWd0RHclFwWHlUWVpuakpHbWJQNStIS0N6Yz0
2016-04-22 12:31:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:31:35 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-22 12:31:35 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:31:35 DEBUG DataMinerManagerServiceImpl:425 - GetPublicLink(): ItemDescription [id=8cd725df-abd2-46d1-a2ff-2704a4655afa, name=test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3], owner=giancarlo.panichi, path=/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3], type=EXTERNAL_FILE, publicLink=null]
2016-04-22 12:31:35 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:31:35 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:31:35 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:31:35 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:31:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:31:35 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:31:35 INFO JCRServlets:267 - Servlet getItemById 8cd725df-abd2-46d1-a2ff-2704a4655afa
2016-04-22 12:31:35 INFO JCRWorkspaceItem:998 - get PublicLink for item: test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:35 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube
2016-04-22 12:31:35 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube
2016-04-22 12:31:35 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:31:35 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:31:35 DEBUG ServiceEngine:62 - path(String) - name: test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:35 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/
2016-04-22 12:31:35 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube
2016-04-22 12:31:35 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-22 12:31:35 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared
2016-04-22 12:31:35 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl
2016-04-22 12:31:35 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-22 12:31:35 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:31:35 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:31:35 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-22 12:31:35 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-22 12:31:35 DEBUG MongoIO:77 - open mongo connection
2016-04-22 12:31:35 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-22 12:31:35 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:35 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:35 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:35 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-22 12:31:35 INFO MongoIO:106 - new mongo connection pool opened
2016-04-22 12:31:35 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-22 12:31:35 INFO connection:71 - Opened connection [connectionId{localValue:26, serverValue:49817}] to mongo2-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-22 12:31:35 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1184337, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:35 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-22 12:31:35 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:35 INFO connection:71 - Opened connection [connectionId{localValue:27, serverValue:1642300}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:35 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:35 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:35 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1009852, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:35 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:35 INFO connection:71 - Opened connection [connectionId{localValue:29, serverValue:1947376}] to mongo1-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-22 12:31:35 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=958575, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:35 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:35 INFO connection:71 - Opened connection [connectionId{localValue:28, serverValue:1360793}] to mongo4-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-22 12:31:35 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1315275, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:35 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}]
2016-04-22 12:31:35 INFO connection:71 - Opened connection [connectionId{localValue:30, serverValue:1642301}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG command:56 - Command execution completed
2016-04-22 12:31:35 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG command:56 - Command execution completed
2016-04-22 12:31:35 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG command:56 - Command execution completed
2016-04-22 12:31:35 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:35 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:35 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG command:56 - Command execution completed
2016-04-22 12:31:35 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG command:56 - Command execution completed
2016-04-22 12:31:35 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:35 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:35 DEBUG query:56 - Query completed
2016-04-22 12:31:35 INFO MongoIO:186 - object found test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:35 DEBUG connection:56 - Closing connection connectionId{localValue:29, serverValue:1947376}
2016-04-22 12:31:35 DEBUG connection:56 - Closing connection connectionId{localValue:26, serverValue:49817}
2016-04-22 12:31:35 INFO connection:71 - Closed connection [connectionId{localValue:30, serverValue:1642301}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-22 12:31:35 DEBUG connection:56 - Closing connection connectionId{localValue:28, serverValue:1360793}
2016-04-22 12:31:35 DEBUG connection:56 - Closing connection connectionId{localValue:30, serverValue:1642301}
2016-04-22 12:31:35 INFO MongoIO:508 - Mongo has been closed
2016-04-22 12:31:35 DEBUG connection:56 - Closing connection connectionId{localValue:27, serverValue:1642300}
2016-04-22 12:31:35 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3]
2016-04-22 12:31:35 INFO Operation:55 - URL generated: smp://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc=
2016-04-22 12:31:35 INFO Operation:57 - URL generated: smp://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc=
2016-04-22 12:31:35 DEBUG Operation:87 - translating: http://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc=
2016-04-22 12:31:35 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/
2016-04-22 12:31:35 DEBUG Operation:93 - get params: http://data-d.d4science.org/ fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc=
2016-04-22 12:31:35 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/ZlJwVm5TeFRlc2xxUmhYZ0pWd0RHclFwWHlUWVpuakpHbWJQNStIS0N6Yz0
2016-04-22 12:31:35 INFO Operation:65 - URL translated: http://data-d.d4science.org/ZlJwVm5TeFRlc2xxUmhYZ0pWd0RHclFwWHlUWVpuakpHbWJQNStIS0N6Yz0
2016-04-22 12:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:31:43 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-22 12:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-22 12:31:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:31:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:31:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:31:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:31:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:31:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:31:43 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-22 12:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:31:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:31:43 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:31:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:31:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:31:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:31:43 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:31:43 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-22 12:31:43 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-22 12:31:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-22 12:31:43 INFO JCRServlets:697 - Calling Servlet get Parents By Id 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-22 12:31:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-22 12:31:44 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-22 12:31:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-22 12:31:44 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=9258832c-2cd0-45cb-9625-0ae9f6fa3662, name=Output Data Sets, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-22 12:31:44 DEBUG WorkspaceExplorerServiceImpl:428 - item and parent limit are identical element, returning
2016-04-22 12:31:44 INFO WorkspaceExplorerServiceImpl:188 - end time - 82 msc 0 sec
2016-04-22 12:31:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:31:55 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-22 12:31:55 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-22 12:31:55 DEBUG DataMinerManagerServiceImpl:425 - GetPublicLink(): ItemDescription [id=5db7f399-cfdc-46d2-9fa6-866fabe2ee21, name=Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27], owner=giancarlo.panichi, path=/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27], type=EXTERNAL_FILE, publicLink=null]
2016-04-22 12:31:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-22 12:31:55 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-22 12:31:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-22 12:31:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-22 12:31:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-22 12:31:55 DEBUG JCRHomeManager:97 - User is already logged
2016-04-22 12:31:55 INFO JCRServlets:267 - Servlet getItemById 5db7f399-cfdc-46d2-9fa6-866fabe2ee21
2016-04-22 12:31:56 INFO JCRWorkspaceItem:998 - get PublicLink for item: Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27]
2016-04-22 12:31:56 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube
2016-04-22 12:31:56 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube
2016-04-22 12:31:56 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:31:56 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:31:56 DEBUG ServiceEngine:62 - path(String) - name: Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27]
2016-04-22 12:31:56 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/
2016-04-22 12:31:56 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube
2016-04-22 12:31:56 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-22 12:31:56 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared
2016-04-22 12:31:56 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl
2016-04-22 12:31:56 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-22 12:31:56 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-22 12:31:56 DEBUG BucketCoding:42 - coding name done
2016-04-22 12:31:56 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-22 12:31:56 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-22 12:31:56 DEBUG MongoIO:77 - open mongo connection
2016-04-22 12:31:56 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-22 12:31:56 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:56 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:56 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:56 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-22 12:31:56 INFO MongoIO:106 - new mongo connection pool opened
2016-04-22 12:31:56 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-22 12:31:56 INFO connection:71 - Opened connection [connectionId{localValue:31, serverValue:49820}] to mongo2-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-22 12:31:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1281641, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:56 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-22 12:31:56 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:56 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-22 12:31:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:56 INFO connection:71 - Opened connection [connectionId{localValue:34, serverValue:1947381}] to mongo1-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-22 12:31:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1247706, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:56 INFO connection:71 - Opened connection [connectionId{localValue:32, serverValue:1642306}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1372648, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:56 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-22 12:31:56 INFO connection:71 - Opened connection [connectionId{localValue:33, serverValue:1360799}] to mongo4-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-22 12:31:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1736113, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-22 12:31:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}]
2016-04-22 12:31:56 INFO connection:71 - Opened connection [connectionId{localValue:35, serverValue:1642307}] to mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG command:56 - Command execution completed
2016-04-22 12:31:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG command:56 - Command execution completed
2016-04-22 12:31:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG command:56 - Command execution completed
2016-04-22 12:31:56 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27]
2016-04-22 12:31:56 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27]
2016-04-22 12:31:56 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG command:56 - Command execution completed
2016-04-22 12:31:56 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG command:56 - Command execution completed
2016-04-22 12:31:56 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27]
2016-04-22 12:31:56 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017
2016-04-22 12:31:56 DEBUG query:56 - Query completed
2016-04-22 12:31:56 INFO MongoIO:186 - object found Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27]
2016-04-22 12:31:56 DEBUG connection:56 - Closing connection connectionId{localValue:34, serverValue:1947381}
2016-04-22 12:31:56 DEBUG connection:56 - Closing connection connectionId{localValue:31, serverValue:49820}
2016-04-22 12:31:56 DEBUG connection:56 - Closing connection connectionId{localValue:33, serverValue:1360799}
2016-04-22 12:31:56 INFO connection:71 - Closed connection [connectionId{localValue:35, serverValue:1642307}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-22 12:31:56 DEBUG connection:56 - Closing connection connectionId{localValue:35, serverValue:1642307}
2016-04-22 12:31:56 INFO MongoIO:508 - Mongo has been closed
2016-04-22 12:31:56 DEBUG connection:56 - Closing connection connectionId{localValue:32, serverValue:1642306}
2016-04-22 12:31:56 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27]
2016-04-22 12:31:56 INFO Operation:55 - URL generated: smp://data-d.d4science.org/99aufvuENmdqRhXgJVwDGsRrgt76P5QAGmbP5+HKCzc=
2016-04-22 12:31:56 INFO Operation:57 - URL generated: smp://data-d.d4science.org/99aufvuENmdqRhXgJVwDGsRrgt76P5QAGmbP5+HKCzc=
2016-04-22 12:31:56 DEBUG Operation:87 - translating: http://data-d.d4science.org/99aufvuENmdqRhXgJVwDGsRrgt76P5QAGmbP5+HKCzc=
2016-04-22 12:31:56 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/
2016-04-22 12:31:56 DEBUG Operation:93 - get params: http://data-d.d4science.org/ 99aufvuENmdqRhXgJVwDGsRrgt76P5QAGmbP5+HKCzc=
2016-04-22 12:31:56 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/OTlhdWZ2dUVObWRxUmhYZ0pWd0RHc1JyZ3Q3NlA1UUFHbWJQNStIS0N6Yz0
2016-04-22 12:31:56 INFO Operation:65 - URL translated: http://data-d.d4science.org/OTlhdWZ2dUVObWRxUmhYZ0pWd0RHc1JyZ3Q3NlA1UUFHbWJQNStIS0N6Yz0
2016-04-22 12:32:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-22 12:32:12 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-22 12:33:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-22 12:33:07 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 10:28:46 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-26 10:28:46 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-26 10:28:46 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started!
2016-04-26 10:28:46 INFO SessionUtil:49 - no user found in session, use test user
2016-04-26 10:28:46 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:28:46 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-26 10:28:46 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-26 10:28:46 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@50eb48cc
2016-04-26 10:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-26 10:28:46 INFO ASLSession:352 - Logging the entrance
2016-04-26 10:28:46 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-26 10:28:46 DEBUG TemplateModel:83 - 2016-04-26 10:28:46, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-26 10:28:46 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 10:28:46 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-26 10:28:48 INFO SessionUtil:49 - no user found in session, use test user
2016-04-26 10:28:48 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:28:48 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:28:48 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-26 10:28:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:28:48 INFO ASLSession:352 - Logging the entrance
2016-04-26 10:28:48 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-26 10:28:48 DEBUG TemplateModel:83 - 2016-04-26 10:28:48, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-26 10:28:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 10:28:48 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-26 10:28:48 INFO DefaultScanner:63 - matched 28 resources from 112 urls in 157 ms
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-26 10:28:49 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-26 10:28:49 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 10:28:49 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-26 10:28:49 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@95c424f
2016-04-26 10:28:49 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@3c4d3035
2016-04-26 10:28:49 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@15495baf
2016-04-26 10:28:49 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@c2bca93
2016-04-26 10:28:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 297 ms
2016-04-26 10:28:49 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-26 10:28:49 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-26 10:28:49 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-26 10:28:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:28:49 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 10:28:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 10:28:49 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea()
2016-04-26 10:28:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:28:49 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:28:50 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-26 10:28:50 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-26 10:28:50 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-26 10:28:50 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-26 10:28:50 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-26 10:28:50 DEBUG JCRRepository:271 - Initialize repository
2016-04-26 10:28:50 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-26 10:28:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32
2016-04-26 10:28:50 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 10:28:50 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-26 10:28:50 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-26 10:28:50 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 10:28:50 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-26 10:28:50 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-26 10:28:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:28:50 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 10:28:50 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-26 10:28:50 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 22 ms
2016-04-26 10:28:50 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-26 10:28:50 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 10:28:50 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-26 10:28:50 INFO StatWPSClientSession:84 - CONNECT
2016-04-26 10:28:50 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 86 ms
2016-04-26 10:28:50 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-26 10:28:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:28:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:28:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:28:50 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-26 10:28:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:28:50 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-26 10:28:51 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-26 10:28:51 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 10:28:51 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-26 10:28:51 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-26 10:28:51 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-26 10:28:51 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-26 10:28:51 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-26 10:28:51 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-26 10:28:51 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-26 10:28:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:28:51 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:28:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:28:51 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-26 10:28:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:28:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:28:51 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:28:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:28:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:28:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:28:51 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:28:51 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-26 10:28:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:28:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:28:51 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:28:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:28:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:28:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:28:51 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:28:51 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-26 10:28:52 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:28:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:28:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:28:52 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:28:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:28:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:28:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:28:52 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:28:52 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-26 10:28:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-26 10:28:52 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:28:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:28:52 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-26 10:28:52 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-26 10:28:52 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-26 10:28:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:28:52 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:28:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:28:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:28:52 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:28:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:28:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:28:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:28:52 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:28:52 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-26 10:28:52 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:28:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:28:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:28:52 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:28:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:28:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:28:52 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:28:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:28:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:28:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:28:52 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:28:53 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-26 10:28:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:28:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:28:53 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-26 10:28:53 INFO WorkspaceExplorerServiceImpl:188 - end time - 300 msc 0 sec
2016-04-26 10:28:53 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:28:53 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 10:28:53 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-26 10:28:53 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms
2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-26 10:28:53 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 10:28:53 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-26 10:28:53 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms
2016-04-26 10:28:53 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-26 10:28:53 INFO ISClientConnector:82 - found only one RR, take it
2016-04-26 10:28:53 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-26 10:28:53 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-26 10:28:53 DEBUG StorageClient:517 - set scope: /gcube
2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-26 10:28:53 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 10:28:53 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-26 10:28:53 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33
2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:28:53 INFO WorkspaceExplorerServiceImpl:188 - end time - 312 msc 0 sec
2016-04-26 10:29:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:29:41 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:30:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 10:30:36 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 10:30:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 10:30:40 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 10:30:40 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 10:30:40 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
2016-04-26 10:30:40 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 10:30:40 INFO StatWPSClientSession:84 - CONNECT
2016-04-26 10:30:43 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-26 10:30:43 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-26 10:30:43 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-26 10:30:43 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-26 10:30:43 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-26 10:30:43 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-26 10:30:43 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-26 10:30:43 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-26 10:30:43 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-26 10:30:43 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-26 10:30:43 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 10:30:43 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-26 10:30:43 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-26 10:30:43 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-26 10:30:43 DEBUG WPS2SM:201 - Schema: null
2016-04-26 10:30:43 DEBUG WPS2SM:202 - Encoding: null
2016-04-26 10:30:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-26 10:30:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-26 10:30:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 10:30:43 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-26 10:30:43 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-26 10:30:43 DEBUG WPS2SM:93 - WPS type:
2016-04-26 10:30:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 10:30:43 DEBUG WPS2SM:101 - Guessed default value:
2016-04-26 10:30:43 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-26 10:30:43 DEBUG WPS2SM:112 - Machter find: true
2016-04-26 10:30:43 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-26 10:30:43 DEBUG WPS2SM:114 - Machter start: 31
2016-04-26 10:30:43 DEBUG WPS2SM:115 - Machter end: 103
2016-04-26 10:30:43 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-26 10:30:43 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-26 10:30:43 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-26 10:30:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-26 10:30:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-26 10:30:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 10:30:43 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-26 10:30:43 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-26 10:30:43 DEBUG WPS2SM:93 - WPS type:
2016-04-26 10:30:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 10:30:43 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-26 10:30:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-26 10:30:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-26 10:30:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 10:30:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-26 10:30:43 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-26 10:30:43 DEBUG WPS2SM:93 - WPS type:
2016-04-26 10:30:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-26 10:30:43 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-26 10:30:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-26 10:30:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-26 10:30:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 10:30:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-26 10:30:43 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-26 10:30:43 DEBUG WPS2SM:93 - WPS type:
2016-04-26 10:30:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-26 10:30:43 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-26 10:30:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-26 10:30:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-26 10:30:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 10:30:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-26 10:30:43 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]]
2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 10:30:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:30:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:44 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-26 10:30:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:30:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:30:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:44 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:44 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:30:44 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-26 10:30:44 INFO WorkspaceExplorerServiceImpl:142 - end time - 496 msc 0 sec
2016-04-26 10:30:44 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-26 10:30:54 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 10:30:54 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 10:30:54 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 10:30:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:54 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:54 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:54 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:30:54 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:30:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:54 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:54 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:54 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 10:30:54 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 10:30:54 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-26 10:30:54 DEBUG ServiceEngine:306 - get() - start
2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-26 10:30:54 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-26 10:30:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:54 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:54 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:54 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 10:30:54 DEBUG BucketCoding:42 - coding name done
2016-04-26 10:30:54 DEBUG ServiceEngine:62 - path(String) - name: StatisticalTest
2016-04-26 10:30:54 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/
2016-04-26 10:30:54 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-26 10:30:54 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:30:54 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:30:54 INFO OperationFactory:39 - getOperation(String) - start getFolderSize
2016-04-26 10:30:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:54 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:54 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-26 10:30:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:54 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:54 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/
2016-04-26 10:30:54 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 10:30:54 DEBUG BucketCoding:42 - coding name done
2016-04-26 10:30:54 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-26 10:30:54 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-26 10:30:54 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 10:30:54 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 10:30:54 DEBUG MongoIO:77 - open mongo connection
2016-04-26 10:30:55 INFO JCRServlets:697 - Calling Servlet get Parents By Id 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-26 10:30:55 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-26 10:30:55 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-26 10:30:55 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:30:55 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-26 10:30:55 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-26 10:30:55 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null]
2016-04-26 10:30:55 INFO WorkspaceExplorerServiceImpl:188 - end time - 151 msc 0 sec
2016-04-26 10:30:55 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:30:55 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:30:55 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@fcac21b6, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@f3ffa0f, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@3139f69b, socketFactory=javax.net.DefaultSocketFactory@546d535c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-26 10:30:55 INFO MongoIO:106 - new mongo connection pool opened
2016-04-26 10:30:55 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-26 10:30:55 INFO connection:71 - Opened connection [connectionId{localValue:2, serverValue:107424}] to mongo2-d-d4s.d4science.org:27017
2016-04-26 10:30:55 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-26 10:30:55 INFO connection:71 - Opened connection [connectionId{localValue:1, serverValue:1700494}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:55 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:55 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1244386, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:30:55 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1377132, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:30:55 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-26 10:30:55 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:30:55 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:30:55 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:55 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:30:55 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:30:55 INFO connection:71 - Opened connection [connectionId{localValue:5, serverValue:1700495}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:55 INFO connection:71 - Opened connection [connectionId{localValue:4, serverValue:2004630}] to mongo1-d-d4s.d4science.org:27017
2016-04-26 10:30:55 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-26 10:30:55 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=948005, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:30:55 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:30:55 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:55 DEBUG command:56 - Command execution completed
2016-04-26 10:30:55 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:55 DEBUG command:56 - Command execution completed
2016-04-26 10:30:55 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:55 DEBUG command:56 - Command execution completed
2016-04-26 10:30:55 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-26 10:30:55 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:55 DEBUG command:56 - Command execution completed
2016-04-26 10:30:55 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:55 DEBUG command:56 - Command execution completed
2016-04-26 10:30:55 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:55 INFO connection:71 - Opened connection [connectionId{localValue:3, serverValue:1418057}] to mongo4-d-d4s.d4science.org:27017
2016-04-26 10:30:55 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-26 10:30:55 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1495793, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:30:55 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}]
2016-04-26 10:30:56 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-26 10:30:56 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:30:56 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:30:56 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:56 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:56 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:56 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:56 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-26 10:30:56 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:30:56 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:30:56 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:56 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:56 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:56 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:56 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:56 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:56 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-26 10:30:56 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi
2016-04-26 10:30:56 DEBUG ServiceEngine:306 - get() - start
2016-04-26 10:30:56 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 10:30:56 DEBUG BucketCoding:42 - coding name done
2016-04-26 10:30:56 DEBUG ServiceEngine:62 - path(String) - name: DBScan
2016-04-26 10:30:56 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/
2016-04-26 10:30:56 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-26 10:30:56 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-26 10:30:56 INFO OperationFactory:39 - getOperation(String) - start getFolderSize
2016-04-26 10:30:56 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-26 10:30:56 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/
2016-04-26 10:30:56 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 10:30:56 DEBUG BucketCoding:42 - coding name done
2016-04-26 10:30:56 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-26 10:30:56 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-26 10:30:56 DEBUG MongoIO:77 - open mongo connection
2016-04-26 10:30:56 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-26 10:30:56 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:30:56 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:30:56 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:30:56 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@fcac21b6, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@f3ffa0f, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@3139f69b, socketFactory=javax.net.DefaultSocketFactory@546d535c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-26 10:30:56 INFO MongoIO:106 - new mongo connection pool opened
2016-04-26 10:30:56 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:30:56 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:30:56 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:56 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:56 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:56 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:56 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:56 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-26 10:30:56 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-26 10:30:56 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:56 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:56 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:56 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:56 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:56 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:56 INFO connection:71 - Opened connection [connectionId{localValue:7, serverValue:1700496}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:56 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:56 INFO connection:71 - Opened connection [connectionId{localValue:6, serverValue:107425}] to mongo2-d-d4s.d4science.org:27017
2016-04-26 10:30:56 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-26 10:30:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1802419, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-26 10:30:56 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-26 10:30:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=9607220, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54
2016-04-26 10:30:56 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:30:56 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:30:56 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:30:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=9.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:30:56 INFO connection:71 - Opened connection [connectionId{localValue:9, serverValue:2004631}] to mongo1-d-d4s.d4science.org:27017
2016-04-26 10:30:56 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-26 10:30:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=963164, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:30:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=9.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:30:56 INFO connection:71 - Opened connection [connectionId{localValue:8, serverValue:1418058}] to mongo4-d-d4s.d4science.org:27017
2016-04-26 10:30:56 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-26 10:30:56 INFO JCRServlets:697 - Calling Servlet get Parents By Id 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi
2016-04-26 10:30:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=2250914, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:30:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=9.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=2.3 ms, state=CONNECTED}]
2016-04-26 10:30:56 INFO connection:71 - Opened connection [connectionId{localValue:10, serverValue:1700497}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:56 DEBUG command:56 - Command execution completed
2016-04-26 10:30:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:56 DEBUG command:56 - Command execution completed
2016-04-26 10:30:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:56 DEBUG command:56 - Command execution completed
2016-04-26 10:30:56 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan
2016-04-26 10:30:56 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:56 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi
2016-04-26 10:30:56 DEBUG command:56 - Command execution completed
2016-04-26 10:30:56 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:56 DEBUG command:56 - Command execution completed
2016-04-26 10:30:56 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 10:30:56 INFO WorkspaceExplorerServiceImpl:188 - end time - 69 msc 0 sec
2016-04-26 10:30:56 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=7ba62008-739a-4787-ae33-7938ad109a54, name=DBScan, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-26 10:30:56 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-26 10:30:56 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null]
2016-04-26 10:30:56 DEBUG query:56 - Query completed
2016-04-26 10:30:56 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 7 objects
2016-04-26 10:30:56 DEBUG connection:56 - Closing connection connectionId{localValue:4, serverValue:2004630}
2016-04-26 10:30:56 DEBUG connection:56 - Closing connection connectionId{localValue:2, serverValue:107424}
2016-04-26 10:30:56 INFO connection:71 - Closed connection [connectionId{localValue:5, serverValue:1700495}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-26 10:30:56 DEBUG connection:56 - Closing connection connectionId{localValue:3, serverValue:1418057}
2016-04-26 10:30:56 DEBUG connection:56 - Closing connection connectionId{localValue:5, serverValue:1700495}
2016-04-26 10:30:56 DEBUG connection:56 - Closing connection connectionId{localValue:1, serverValue:1700494}
2016-04-26 10:30:56 INFO MongoIO:508 - Mongo has been closed
2016-04-26 10:30:56 INFO DefaultMongoClient:1329 - getFolderTotalVolume 130827 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-26 10:30:56 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-26 10:30:56 INFO WorkspaceExplorerServiceImpl:503 - returning size: 130827
2016-04-26 10:30:57 DEBUG query:56 - Query completed
2016-04-26 10:30:57 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 1 objects
2016-04-26 10:30:57 DEBUG connection:56 - Closing connection connectionId{localValue:9, serverValue:2004631}
2016-04-26 10:30:57 DEBUG connection:56 - Closing connection connectionId{localValue:6, serverValue:107425}
2016-04-26 10:30:57 INFO connection:71 - Closed connection [connectionId{localValue:10, serverValue:1700497}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-26 10:30:57 DEBUG connection:56 - Closing connection connectionId{localValue:8, serverValue:1418058}
2016-04-26 10:30:57 DEBUG connection:56 - Closing connection connectionId{localValue:10, serverValue:1700497}
2016-04-26 10:30:57 INFO MongoIO:508 - Mongo has been closed
2016-04-26 10:30:57 INFO DefaultMongoClient:1329 - getFolderTotalVolume 849 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan
2016-04-26 10:30:57 DEBUG connection:56 - Closing connection connectionId{localValue:7, serverValue:1700496}
2016-04-26 10:30:57 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan
2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849
2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-26 10:30:57 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-26 10:30:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:57 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:57 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:518 - get MimeType By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:30:57 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:30:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:57 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:57 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:30:57 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:30:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:30:57 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:30:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:30:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:30:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:30:57 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:30:57 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-26 10:30:57 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-26 10:30:57 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849
2016-04-26 10:31:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 10:31:01 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 10:31:01 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 10:31:01 DEBUG DataMinerManagerServiceImpl:387 - retrieveTableInformation(): Item [id=13d0382e-8833-4df7-b4dc-61bbba61b3e5, name=hcaf_filtered.csv, type=EXTERNAL_FILE, path=/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv, children=[], owner=giancarlo.panichi, isFolder=false, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=Wed Mar 09 17:10:22 CET 2016]
2016-04-26 10:31:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:31:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:31:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:31:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:31:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:31:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:31:01 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-26 10:31:01 DEBUG ServiceEngine:193 - get() - start
2016-04-26 10:31:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 10:31:01 DEBUG BucketCoding:42 - coding name done
2016-04-26 10:31:01 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv
2016-04-26 10:31:01 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/
2016-04-26 10:31:01 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-26 10:31:01 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-26 10:31:01 INFO OperationFactory:39 - getOperation(String) - start download
2016-04-26 10:31:01 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-26 10:31:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 10:31:01 DEBUG BucketCoding:42 - coding name done
2016-04-26 10:31:01 DEBUG Download:57 - DOWNLOAD /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv in bucket: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-26 10:31:01 DEBUG Operation:173 - get(String) - start
2016-04-26 10:31:01 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-26 10:31:01 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-26 10:31:01 DEBUG MongoIO:77 - open mongo connection
2016-04-26 10:31:01 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:31:01 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@fcac21b6, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@f3ffa0f, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@3139f69b, socketFactory=javax.net.DefaultSocketFactory@546d535c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-26 10:31:01 INFO MongoIO:106 - new mongo connection pool opened
2016-04-26 10:31:01 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:12, serverValue:1700499}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1349657, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:31:01 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:31:01 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:14, serverValue:2004633}] to mongo1-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=985670, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:11, serverValue:107428}] to mongo2-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1382445, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:13, serverValue:1418059}] to mongo4-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1289356, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}]
2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:15, serverValue:1700500}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 INFO DefaultMongoClient:96 - MongoClient get method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM]
2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-26 10:31:01 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG query:56 - Query completed
2016-04-26 10:31:01 INFO MongoIO:186 - object found hcaf_filtered.csv
2016-04-26 10:31:01 INFO DefaultMongoClient:1047 - MongoClient download method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM]
2016-04-26 10:31:01 INFO DefaultMongoClient:1491 - set last operation: DOWNLOAD
2016-04-26 10:31:01 DEBUG update:56 - Updating documents in namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG update:56 - Update completed
2016-04-26 10:31:01 DEBUG query:56 - Sending query of namespace remotefs.fs.chunks on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG query:56 - Query completed
2016-04-26 10:31:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:31:01 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:31:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:31:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:31:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:31:01 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:31:01 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5
2016-04-26 10:31:01 INFO JCRWorkspaceItem:998 - get PublicLink for item: hcaf_filtered.csv
2016-04-26 10:31:01 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube
2016-04-26 10:31:01 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube
2016-04-26 10:31:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 10:31:01 DEBUG BucketCoding:42 - coding name done
2016-04-26 10:31:01 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv
2016-04-26 10:31:01 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/
2016-04-26 10:31:01 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube
2016-04-26 10:31:01 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-26 10:31:01 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared
2016-04-26 10:31:01 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl
2016-04-26 10:31:01 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-26 10:31:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 10:31:01 DEBUG BucketCoding:42 - coding name done
2016-04-26 10:31:01 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-26 10:31:01 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-26 10:31:01 DEBUG MongoIO:77 - open mongo connection
2016-04-26 10:31:01 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:31:01 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@fcac21b6, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@f3ffa0f, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@3139f69b, socketFactory=javax.net.DefaultSocketFactory@546d535c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-26 10:31:01 INFO MongoIO:106 - new mongo connection pool opened
2016-04-26 10:31:01 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:16, serverValue:107429}] to mongo2-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1267434, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:31:01 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:19, serverValue:2004634}] to mongo1-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:17, serverValue:1700501}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=843903, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.8 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1479763, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:31:01 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.8 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:18, serverValue:1418060}] to mongo4-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1706920, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.8 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}]
2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:20, serverValue:1700502}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-26 10:31:01 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG command:56 - Command execution completed
2016-04-26 10:31:01 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-26 10:31:01 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 10:31:01 DEBUG query:56 - Query completed
2016-04-26 10:31:01 INFO MongoIO:186 - object found hcaf_filtered.csv
2016-04-26 10:31:01 DEBUG connection:56 - Closing connection connectionId{localValue:19, serverValue:2004634}
2016-04-26 10:31:01 DEBUG connection:56 - Closing connection connectionId{localValue:16, serverValue:107429}
2016-04-26 10:31:01 DEBUG connection:56 - Closing connection connectionId{localValue:18, serverValue:1418060}
2016-04-26 10:31:01 INFO connection:71 - Closed connection [connectionId{localValue:20, serverValue:1700502}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-26 10:31:01 DEBUG connection:56 - Closing connection connectionId{localValue:20, serverValue:1700502}
2016-04-26 10:31:01 DEBUG connection:56 - Closing connection connectionId{localValue:17, serverValue:1700501}
2016-04-26 10:31:01 INFO MongoIO:508 - Mongo has been closed
2016-04-26 10:31:01 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv
2016-04-26 10:31:01 INFO Operation:55 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-26 10:31:01 INFO Operation:57 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-26 10:31:01 DEBUG Operation:87 - translating: http://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-26 10:31:01 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/
2016-04-26 10:31:01 DEBUG Operation:93 - get params: http://data-d.d4science.org/ 8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc=
2016-04-26 10:31:01 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-26 10:31:01 INFO Operation:65 - URL translated: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-26 10:31:05 DEBUG connection:56 - Closing connection connectionId{localValue:14, serverValue:2004633}
2016-04-26 10:31:05 INFO connection:71 - Closed connection [connectionId{localValue:15, serverValue:1700500}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-26 10:31:05 DEBUG connection:56 - Closing connection connectionId{localValue:15, serverValue:1700500}
2016-04-26 10:31:05 DEBUG connection:56 - Closing connection connectionId{localValue:11, serverValue:107428}
2016-04-26 10:31:05 DEBUG connection:56 - Closing connection connectionId{localValue:13, serverValue:1418059}
2016-04-26 10:31:05 DEBUG connection:56 - Closing connection connectionId{localValue:12, serverValue:1700499}
2016-04-26 10:31:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:31:29 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 10:31:29 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 10:31:29 DEBUG DataMinerManagerServiceImpl:149 - StartComputation(): [computationTitle=Dbscan-2016-04-26 10:30, computationDescription=Dbscan-2016-04-26 10:30, operator=Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[TabularParameter [tableName=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0, templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=Test, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=10, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=1, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]], hasImage=false]]
2016-04-26 10:31:29 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 10:31:29 INFO StatWPSClientSession:84 - CONNECT
2016-04-26 10:31:30 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-26 10:31:30 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-26 10:31:30 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsTable
Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/xml
text/xml
text/csv
text/plain
2016-04-26 10:31:30 DEBUG SClient4WPS:291 - WPSClient->Input:
FeaturesColumnNames
column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-26 10:31:30 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencePointsClusterLabel
table name of the resulting distribution
Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution
OccCluster_
2016-04-26 10:31:30 DEBUG SClient4WPS:291 - WPSClient->Input:
epsilon
DBScan epsilon parameter
Name of the parameter: epsilon. DBScan epsilon parameter
10
2016-04-26 10:31:30 DEBUG SClient4WPS:291 - WPSClient->Input:
min_points
DBScan minimum points parameter (identifies outliers)
Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers)
1
2016-04-26 10:31:30 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-26 10:31:30 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
text/csv
2016-04-26 10:31:30 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-26 10:31:30 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 10:31:30 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input
2016-04-26 10:31:30 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-26 10:31:30 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-26 10:31:30 DEBUG WPS2SM:201 - Schema: null
2016-04-26 10:31:30 DEBUG WPS2SM:202 - Encoding: null
2016-04-26 10:31:30 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-26 10:31:30 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable
2016-04-26 10:31:30 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 10:31:30 DEBUG SClient4WPS:681 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-26 10:31:30 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input
2016-04-26 10:31:30 DEBUG WPS2SM:93 - WPS type:
2016-04-26 10:31:30 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 10:31:30 DEBUG WPS2SM:101 - Guessed default value:
2016-04-26 10:31:30 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1]
2016-04-26 10:31:30 DEBUG WPS2SM:112 - Machter find: true
2016-04-26 10:31:30 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by |
2016-04-26 10:31:30 DEBUG WPS2SM:114 - Machter start: 31
2016-04-26 10:31:30 DEBUG WPS2SM:115 - Machter end: 103
2016-04-26 10:31:30 DEBUG WPS2SM:116 - Machter Group Count: 2
2016-04-26 10:31:30 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable
2016-04-26 10:31:30 DEBUG WPS2SM:121 - Matcher separator: |
2016-04-26 10:31:30 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ]
2016-04-26 10:31:30 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames
2016-04-26 10:31:30 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 10:31:30 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST]
2016-04-26 10:31:30 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input
2016-04-26 10:31:30 DEBUG WPS2SM:93 - WPS type:
2016-04-26 10:31:30 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 10:31:30 DEBUG WPS2SM:101 - Guessed default value: OccCluster_
2016-04-26 10:31:30 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution
2016-04-26 10:31:30 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel
2016-04-26 10:31:30 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 10:31:30 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT]
2016-04-26 10:31:30 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input
2016-04-26 10:31:30 DEBUG WPS2SM:93 - WPS type:
2016-04-26 10:31:30 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-26 10:31:30 DEBUG WPS2SM:101 - Guessed default value: 10
2016-04-26 10:31:30 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter
2016-04-26 10:31:30 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon
2016-04-26 10:31:30 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 10:31:30 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]
2016-04-26 10:31:30 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input
2016-04-26 10:31:30 DEBUG WPS2SM:93 - WPS type:
2016-04-26 10:31:30 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-26 10:31:30 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-26 10:31:30 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers)
2016-04-26 10:31:30 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points
2016-04-26 10:31:30 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 10:31:30 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-26 10:31:30 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsTable, value=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-26 10:31:30 DEBUG SClient4WPS:689 - UserInputs= key:FeaturesColumnNames, value=depthmean|sstmnmax|salinitymean
2016-04-26 10:31:30 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsClusterLabel, value=Test
2016-04-26 10:31:30 DEBUG SClient4WPS:689 - UserInputs= key:epsilon, value=10
2016-04-26 10:31:30 DEBUG SClient4WPS:689 - UserInputs= key:min_points, value=1
2016-04-26 10:31:30 DEBUG SClient4WPS:748 - Configuring Complex: OccurrencePointsTable to: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0
2016-04-26 10:31:30 DEBUG SClient4WPS:731 - Configuring Literal: FeaturesColumnNames to: depthmean|sstmnmax|salinitymean
2016-04-26 10:31:30 DEBUG SClient4WPS:731 - Configuring Literal: OccurrencePointsClusterLabel to: Test
2016-04-26 10:31:30 DEBUG SClient4WPS:731 - Configuring Literal: epsilon to: 10
2016-04-26 10:31:30 DEBUG SClient4WPS:731 - Configuring Literal: min_points to: 1
2016-04-26 10:31:30 INFO StatWPSClientSession:84 - CONNECT
2016-04-26 10:31:30 DEBUG SClient4WPS:380 - Sending:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
OccurrencePointsTable
FeaturesColumnNames
depthmean|sstmnmax|salinitymean
OccurrencePointsClusterLabel
Test
epsilon
10
min_points
1
2016-04-26 10:31:30 DEBUG StatWPSClientSession:420 - RetrieveDataViaPost(): http://dataminer1-d-d4s.d4science.org:80/wps/WebProcessingService?
2016-04-26 10:31:30 DEBUG SClient4WPS:399 - Retrieved ProcessLocation: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1
2016-04-26 10:31:30 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 10:31:30 DEBUG SClient4WPS:768 - Starting Process: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1
2016-04-26 10:31:30 DEBUG SClient4WPS:695 - Stated Computation ProcessLocation:http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1
2016-04-26 10:31:30 DEBUG SClient4WPS:706 - ComputationId: ComputationId [id=dc6dff45-f655-4c56-88a0-820efccc3dd1, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1]
2016-04-26 10:31:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:31:31 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:31:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 10:31:40 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 10:31:40 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 10:31:40 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=dc6dff45-f655-4c56-88a0-820efccc3dd1, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1]
2016-04-26 10:31:40 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 10:31:40 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 10:31:40 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1
2016-04-26 10:31:40 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 10:31:40 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 10:31:40 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 10:31:40 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
Process successful
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
depthmean,sstmnmax,salinitymean,clusterid,outlier
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
non_deterministic_output
NonDeterministicOutput
http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
2016-04-26 10:31:40 DEBUG SClient4WPS:858 - WPS SUCCESS
2016-04-26 10:31:40 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=100.0, status=COMPLETE, endDate=null, message=null, errResource=null]
2016-04-26 10:31:41 DEBUG Log:91 - getResourceByComputationId: ComputationId [id=dc6dff45-f655-4c56-88a0-820efccc3dd1, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1]
2016-04-26 10:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:31:41 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 10:31:41 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 10:31:41 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:OutputTable
2016-04-26 10:31:41 DEBUG WPS2SM:315 - Conversion to SM Type->Title:Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
2016-04-26 10:31:41 DEBUG WPS2SM:331 - Complex Output
2016-04-26 10:31:41 DEBUG WPS2SM:200 - MimeType: text/csv
2016-04-26 10:31:41 DEBUG WPS2SM:201 - Schema: null
2016-04-26 10:31:41 DEBUG WPS2SM:202 - Encoding: null
2016-04-26 10:31:41 DEBUG SClient4WPS:932 - OutputParameter: TabularParameter [tableName= , templates=[], name=OutputTable, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], typology=TABULAR]
2016-04-26 10:31:41 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:non_deterministic_output
2016-04-26 10:31:41 DEBUG WPS2SM:315 - Conversion to SM Type->Title:NonDeterministicOutput
2016-04-26 10:31:41 DEBUG WPS2SM:331 - Complex Output
2016-04-26 10:31:41 DEBUG WPS2SM:200 - MimeType: text/xml; subtype=gml/2.1.2
2016-04-26 10:31:41 DEBUG WPS2SM:201 - Schema: http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-26 10:31:41 DEBUG WPS2SM:202 - Encoding: null
2016-04-26 10:31:41 DEBUG SClient4WPS:932 - OutputParameter: FileParameter [mimeType=text/xml; subtype=gml/2.1.2, value=null, name=non_deterministic_output, description=NonDeterministicOutput, typology=FILE]
2016-04-26 10:31:41 DEBUG SClient4WPS:419 - RetrieveProcessResult: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1
2016-04-26 10:31:41 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1
2016-04-26 10:31:41 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 10:31:41 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 10:31:41 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 10:31:41 DEBUG SClient4WPS:430 - Response:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN
DBSCAN
Process successful
OutputTable
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
depthmean,sstmnmax,salinitymean,clusterid,outlier
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
0,110117104,110117104,1,f
non_deterministic_output
NonDeterministicOutput
http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0
Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
text/csv
2016-04-26 10:31:41 DEBUG SClient4WPS:946 - Process Executed
2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData
2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: #text
2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData
2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: ogr:FeatureCollection
2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: gml:featureMember
2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: ogr:Result
2016-04-26 10:31:41 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0
2016-04-26 10:31:41 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb]
2016-04-26 10:31:41 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:text/csv
2016-04-26 10:31:41 DEBUG SClient4WPS:499 - ResponseWPS Map: F0-->ResponseWPS [data=http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], mimeType=text/csv]
2016-04-26 10:31:41 DEBUG SClient4WPS:994 - Adding OBJ:F0
2016-04-26 10:31:41 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0, name=F0, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], typology=OBJECT]
2016-04-26 10:31:41 DEBUG Log:91 - Resoure: MapResource [map={F0=FileResource [url=http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0, mimeType=text/csv, getResourceId()=F0, getName()=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], getDescription()=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], getResourceType()=FILE]}, getResourceId()=mapResource, getName()=Resources, getDescription()=Resources, getResourceType()=MAP]
2016-04-26 10:32:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:32:26 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:33:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:33:21 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:34:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:34:16 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 10:35:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:35:11 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 10:36:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-26 10:36:06 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-26 10:37:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:37:01 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:37:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:37:56 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:38:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 10:38:51 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 10:39:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:39:46 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:40:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:40:41 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:41:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:41:36 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:42:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:42:31 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:43:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:43:26 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:44:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:44:21 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:45:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35
2016-04-26 10:45:16 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-26 10:46:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:46:11 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:47:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:47:06 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 10:48:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:48:01 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:48:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:48:56 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:49:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:49:51 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:50:46 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:51:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:51:41 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:52:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 10:52:36 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 10:53:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 10:53:31 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:54:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:54:26 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:55:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:55:21 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:56:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 10:56:16 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 10:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 10:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 10:58:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 10:58:06 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 10:59:01 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:59:01 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 10:59:01 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:59:01 WARN SessionCheckerServiceImpl:80 - Scope is null at Tue Apr 26 10:59:01 CEST 2016
2016-04-26 10:59:01 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:59:31 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-26 10:59:31 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-26 10:59:31 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-26 10:59:31 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:59:31 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:59:31 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:59:31 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi null
2016-04-26 10:59:31 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:59:31 DEBUG ASLSession:311 - Scope is null, returning null
2016-04-26 10:59:31 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=null, scopeName=null, userEmailAddress=null, userFullName=null]
2016-04-26 10:59:32 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:59:32 DEBUG ASLSession:458 - Getting security token: null in thread 35
2016-04-26 10:59:32 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:59:32 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi null
2016-04-26 10:59:32 INFO StatWPSClientSession:84 - CONNECT
2016-04-26 10:59:33 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 10:59:33 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-26 10:59:34 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:59:34 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 10:59:34 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 10:59:34 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi null
2016-04-26 10:59:34 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea()
2016-04-26 10:59:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:59:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:59:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:59:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:59:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:59:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:59:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:59:34 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-26 10:59:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:59:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:59:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:59:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:59:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:59:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:59:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:59:34 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-26 10:59:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:59:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:59:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:59:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:59:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:59:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:59:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:59:34 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-26 10:59:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 10:59:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 10:59:34 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 10:59:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 10:59:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 10:59:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 10:59:34 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 10:59:34 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-26 10:59:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:00:45 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue
2016-04-26 11:00:45 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date
2016-04-26 11:00:45 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started!
2016-04-26 11:00:45 INFO SessionUtil:49 - no user found in session, use test user
2016-04-26 11:00:45 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 11:00:45 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:00:45 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-26 11:00:45 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@1837ab4b
2016-04-26 11:00:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:00:45 INFO ASLSession:352 - Logging the entrance
2016-04-26 11:00:45 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-26 11:00:45 DEBUG TemplateModel:83 - 2016-04-26 11:00:45, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-26 11:00:45 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:00:45 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null]
2016-04-26 11:00:47 INFO SessionUtil:49 - no user found in session, use test user
2016-04-26 11:00:47 DEBUG ASLSession:302 - Scope is null, returning null
2016-04-26 11:00:47 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 11:00:47 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE
2016-04-26 11:00:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:00:47 INFO ASLSession:352 - Logging the entrance
2016-04-26 11:00:47 DEBUG TemplateModel:82 - A new entry line has been created. The entry is:
2016-04-26 11:00:47 DEBUG TemplateModel:83 - 2016-04-26 11:00:47, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre
2016-04-26 11:00:47 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:00:48 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-26 11:00:48 INFO DefaultScanner:63 - matched 28 resources from 112 urls in 141 ms
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap
2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap
2016-04-26 11:00:48 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl
2016-04-26 11:00:48 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 11:00:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text()
2016-04-26 11:00:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@2c6047fa
2016-04-26 11:00:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@5868f0b5
2016-04-26 11:00:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@64ea13a6
2016-04-26 11:00:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@476402be
2016-04-26 11:00:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 101 ms
2016-04-26 11:00:48 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @ http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-26 11:00:48 DEBUG DefaultEndpointCache:51 - caching http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE]
2016-04-26 11:00:48 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:00:48 DEBUG SClient4WPSBuilder:28 - Build SM4WPS
2016-04-26 11:00:48 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb]
2016-04-26 11:00:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:00:48 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 11:00:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text()
2016-04-26 11:00:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 18 ms
2016-04-26 11:00:48 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService]
2016-04-26 11:00:48 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 11:00:48 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet
2016-04-26 11:00:48 INFO StatWPSClientSession:84 - CONNECT
2016-04-26 11:00:48 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-26 11:00:48 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-26 11:00:48 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-26 11:00:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:00:48 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:00:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:00:48 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea()
2016-04-26 11:00:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:00:48 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:00:49 INFO HomeLibraryConfiguration:76 - calculating the persistence folder
2016-04-26 11:00:49 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp
2016-04-26 11:00:49 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence
2016-04-26 11:00:49 DEBUG JCRHomeManagerFactory:44 - Initialize content manager
2016-04-26 11:00:49 DEBUG JCRRepository:271 - Initialize repository
2016-04-26 11:00:49 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE
2016-04-26 11:00:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34
2016-04-26 11:00:49 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 11:00:49 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource
2016-04-26 11:00:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 44 ms
2016-04-26 11:00:49 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false
2016-04-26 11:00:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:00:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:00:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:00:49 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one.
2016-04-26 11:00:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:00:49 INFO JCRRepository:279 - getHome giancarlo.panichi
2016-04-26 11:00:49 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-26 11:00:49 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-26 11:00:49 INFO JCRRepository:377 - skip init in JCRRepository
2016-04-26 11:00:49 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 11:00:49 DEBUG JCRUserManager:520 - Response 3.1.1
2016-04-26 11:00:49 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]]
2016-04-26 11:00:49 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1
2016-04-26 11:00:49 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi
2016-04-26 11:00:49 INFO JCRHomeManager:82 - User created: giancarlo.panichi
2016-04-26 11:00:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:00:49 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:00:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:00:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:00:49 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-26 11:00:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi
2016-04-26 11:00:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:00:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:00:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:00:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:00:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:00:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:00:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:00:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:00:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi
2016-04-26 11:00:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:00:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:00:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:00:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:00:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:00:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:00:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:00:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi
2016-04-26 11:00:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:00:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:00:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:00:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:00:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:00:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:00:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:00:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20
2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi
2016-04-26 11:00:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:00:50 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar.
2016-04-26 11:00:50 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default.
2016-04-26 11:00:50 INFO ASLSession:147 - Session Timeout is: 1800000
2016-04-26 11:00:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:00:50 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:00:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:00:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:00:50 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:00:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:00:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:00:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:00:50 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:00:50 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e
2016-04-26 11:00:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:00:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:00:51 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:00:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:00:51 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:00:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:00:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:00:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:00:51 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:00:51 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662
2016-04-26 11:00:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:00:51 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi
2016-04-26 11:00:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:00:51 INFO WorkspaceExplorerServiceImpl:188 - end time - 155 msc 0 sec
2016-04-26 11:00:51 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi
2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:00:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 11:00:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-26 11:00:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 28 ms
2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-26 11:00:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 11:00:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource
2016-04-26 11:00:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms
2016-04-26 11:00:51 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube
2016-04-26 11:00:51 INFO ISClientConnector:82 - found only one RR, take it
2016-04-26 11:00:51 INFO ISClientConnector:140 - Type of backend found MongoDB
2016-04-26 11:00:51 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED
2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-26 11:00:51 DEBUG StorageClient:517 - set scope: /gcube
2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-26 11:00:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub
2016-04-26 11:00:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource
2016-04-26 11:00:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms
2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31
2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:00:51 INFO WorkspaceExplorerServiceImpl:188 - end time - 276 msc 0 sec
2016-04-26 11:01:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:01:08 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 11:01:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:01:08 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
2016-04-26 11:01:08 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 11:01:08 INFO StatWPSClientSession:84 - CONNECT
2016-04-26 11:01:08 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt
OutputTableLabel
The name of the table to produce
Name of the parameter: OutputTableLabel. The name of the table to produce
maxent_
SpeciesName
The name of the species to model and the occurrence records refer to
Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to
generic_species
MaxIterations
The number of learning iterations of the MaxEnt algorithm
Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm
1000
DefaultPrevalence
A priori probability of presence at ordinary occurrence points
Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points
0.5
OccurrencesTable
A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
text/xml
text/xml
text/csv
text/plain
LongitudeColumn
The column containing longitude values [the name of a column from OccurrencesTable]
Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable]
decimallongitude
LatitudeColumn
The column containing latitude values [the name of a column from OccurrencesTable]
Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable]
decimallatitude
XResolution
Model projection resolution on the X axis in decimal degrees
Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees
1
YResolution
Model projection resolution on the Y axis in decimal degrees
Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees
1
Layers
The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
Z
Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
0
TimeIndex
Time Index. The default is the first time indexed in the input environmental datasets
Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets
0
2016-04-26 11:01:08 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
OutputTableLabel
The name of the table to produce
Name of the parameter: OutputTableLabel. The name of the table to produce
maxent_
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
SpeciesName
The name of the species to model and the occurrence records refer to
Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to
generic_species
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
MaxIterations
The number of learning iterations of the MaxEnt algorithm
Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm
1000
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
DefaultPrevalence
A priori probability of presence at ordinary occurrence points
Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points
0.5
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencesTable
A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
text/xml
text/xml
text/csv
text/plain
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
LongitudeColumn
The column containing longitude values [the name of a column from OccurrencesTable]
Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable]
decimallongitude
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
LatitudeColumn
The column containing latitude values [the name of a column from OccurrencesTable]
Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable]
decimallatitude
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
XResolution
Model projection resolution on the X axis in decimal degrees
Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees
1
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
YResolution
Model projection resolution on the Y axis in decimal degrees
Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees
1
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
Layers
The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
Z
Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
0
2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input:
TimeIndex
Time Index. The default is the first time indexed in the input environmental datasets
Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets
0
2016-04-26 11:01:08 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output:
Best Threshold
Best threshold for transforming MaxEnt values into 0/1 probability assignments
Name of the parameter: Best Threshold. Best threshold for transforming MaxEnt values into 0/1 probability assignments
2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output:
Estimated Prevalence
The a posteriori estimated prevalence of the species
Name of the parameter: Estimated Prevalence. The a posteriori estimated prevalence of the species
2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output:
Variables contributions
The contribution of each variable to the MaxEnt values estimates
Name of the parameter: Variables contributions. The contribution of each variable to the MaxEnt values estimates
2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output:
Variables Permutations Importance
The importance of the permutations of the variables during the training
Name of the parameter: Variables Permutations Importance. The importance of the permutations of the variables during the training
2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output:
ASCII Maps of the environmental layers for checking features aligments
ASCII Maps of the environmental layers for checking features aligments
Name of the parameter: ASCII Maps of the environmental layers for checking features aligments. ASCII Maps of the environmental layers for checking features aligments
application/d4science
application/d4science
2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable7
Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OutputTable7. Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/csv
text/csv
2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-26 11:01:08 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->OutputTableLabel is a Literal Input
2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: maxent_
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the table to produce
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OutputTableLabel
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=null, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT]
2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->SpeciesName is a Literal Input
2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: generic_species
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the species to model and the occurrence records refer to
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SpeciesName
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=null, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT]
2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->MaxIterations is a Literal Input
2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 1000
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of learning iterations of the MaxEnt algorithm
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:MaxIterations
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=null, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT]
2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->DefaultPrevalence is a Literal Input
2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 0.5
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A priori probability of presence at ordinary occurrence points
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:DefaultPrevalence
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT]
2016-04-26 11:01:08 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencesTable is a Complex Input
2016-04-26 11:01:08 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-26 11:01:08 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-26 11:01:08 DEBUG WPS2SM:201 - Schema: null
2016-04-26 11:01:08 DEBUG WPS2SM:202 - Encoding: null
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencesTable
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->LongitudeColumn is a Literal Input
2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: decimallongitude
2016-04-26 11:01:08 DEBUG WPS2SM:130 - Machter title: The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude]
2016-04-26 11:01:08 DEBUG WPS2SM:131 - Machter find: true
2016-04-26 11:01:08 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable
2016-04-26 11:01:08 DEBUG WPS2SM:133 - Machter start: 40
2016-04-26 11:01:08 DEBUG WPS2SM:134 - Machter end: 82
2016-04-26 11:01:08 DEBUG WPS2SM:135 - Machter Group Count: 1
2016-04-26 11:01:08 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing longitude values [the name of a column from OccurrencesTable]
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LongitudeColumn
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN]
2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->LatitudeColumn is a Literal Input
2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: decimallatitude
2016-04-26 11:01:08 DEBUG WPS2SM:130 - Machter title: The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude]
2016-04-26 11:01:08 DEBUG WPS2SM:131 - Machter find: true
2016-04-26 11:01:08 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable
2016-04-26 11:01:08 DEBUG WPS2SM:133 - Machter start: 39
2016-04-26 11:01:08 DEBUG WPS2SM:134 - Machter end: 81
2016-04-26 11:01:08 DEBUG WPS2SM:135 - Machter Group Count: 1
2016-04-26 11:01:08 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing latitude values [the name of a column from OccurrencesTable]
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LatitudeColumn
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN]
2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->XResolution is a Literal Input
2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the X axis in decimal degrees
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:XResolution
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->YResolution is a Literal Input
2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the Y axis in decimal degrees
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:YResolution
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->Layers is a Literal Input
2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value:
2016-04-26 11:01:08 DEBUG WPS2SM:147 - Machter title: The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1]
2016-04-26 11:01:08 DEBUG WPS2SM:148 - Machter find: true
2016-04-26 11:01:08 DEBUG WPS2SM:149 - Machter group: a sequence of values separated by |
2016-04-26 11:01:08 DEBUG WPS2SM:150 - Machter start: 501
2016-04-26 11:01:08 DEBUG WPS2SM:151 - Machter end: 536
2016-04-26 11:01:08 DEBUG WPS2SM:152 - Machter Group Count: 1
2016-04-26 11:01:08 DEBUG WPS2SM:155 - Matcher separator: |
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Layers
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ListParameter [type=java.lang.String, value=null, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST]
2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->Z is a Literal Input
2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 0
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Z
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0, value=null, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]
2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->TimeIndex is a Literal Input
2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 0
2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Time Index. The default is the first time indexed in the input environmental datasets
2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:TimeIndex
2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]
2016-04-26 11:01:08 DEBUG SClient4WPS:650 - Parameters: [ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=null, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT], ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=null, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=null, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT], TabularParameter [tableName= , templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN], Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN], ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ListParameter [type=java.lang.String, value=null, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST], ObjectParameter [type=java.lang.Double, defaultValue=0, value=null, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]]
2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:01:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:01:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:01:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:09 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders
2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi
2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:01:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:01:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:09 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:09 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi
2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi
2016-04-26 11:01:09 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi
2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: test
2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test
2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: GPImg
2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject
2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter
2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: rasters
2016-04-26 11:01:09 INFO WorkspaceExplorerServiceImpl:142 - end time - 287 msc 0 sec
2016-04-26 11:01:09 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41
2016-04-26 11:01:29 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 11:01:29 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:01:29 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:01:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:29 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:01:29 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:01:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:29 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 11:01:29 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 11:01:29 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-26 11:01:29 DEBUG ServiceEngine:306 - get() - start
2016-04-26 11:01:29 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 11:01:29 DEBUG BucketCoding:42 - coding name done
2016-04-26 11:01:29 DEBUG ServiceEngine:62 - path(String) - name: StatisticalTest
2016-04-26 11:01:29 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/
2016-04-26 11:01:29 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-26 11:01:29 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-26 11:01:29 INFO OperationFactory:39 - getOperation(String) - start getFolderSize
2016-04-26 11:01:29 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-26 11:01:29 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/
2016-04-26 11:01:29 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 11:01:29 DEBUG BucketCoding:42 - coding name done
2016-04-26 11:01:29 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-26 11:01:29 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-26 11:01:29 DEBUG MongoIO:77 - open mongo connection
2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:01:29 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:01:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:01:29 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:01:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:29 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:29 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:29 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 11:01:29 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-26 11:01:29 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:29 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 11:01:29 INFO JCRServlets:697 - Calling Servlet get Parents By Id 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-26 11:01:29 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:29 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:29 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi
2016-04-26 11:01:29 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@5f244f4f, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@4961b34, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@1ad3f546, socketFactory=javax.net.DefaultSocketFactory@518bd46c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-26 11:01:29 INFO MongoIO:106 - new mongo connection pool opened
2016-04-26 11:01:29 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-26 11:01:29 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-26 11:01:29 INFO WorkspaceExplorerServiceImpl:188 - end time - 58 msc 0 sec
2016-04-26 11:01:29 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-26 11:01:29 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null]
2016-04-26 11:01:29 INFO connection:71 - Opened connection [connectionId{localValue:1, serverValue:1700976}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:29 INFO connection:71 - Opened connection [connectionId{localValue:2, serverValue:107853}] to mongo2-d-d4s.d4science.org:27017
2016-04-26 11:01:29 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-26 11:01:29 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:29 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=2254889, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:29 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1778761, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:29 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-26 11:01:29 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:29 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:29 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:29 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:29 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=2.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:29 INFO connection:71 - Opened connection [connectionId{localValue:5, serverValue:1700978}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:29 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:29 DEBUG command:56 - Command execution completed
2016-04-26 11:01:29 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:29 DEBUG command:56 - Command execution completed
2016-04-26 11:01:29 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:29 DEBUG command:56 - Command execution completed
2016-04-26 11:01:29 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-26 11:01:29 INFO connection:71 - Opened connection [connectionId{localValue:4, serverValue:2005022}] to mongo1-d-d4s.d4science.org:27017
2016-04-26 11:01:29 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-26 11:01:29 INFO connection:71 - Opened connection [connectionId{localValue:3, serverValue:1418449}] to mongo4-d-d4s.d4science.org:27017
2016-04-26 11:01:29 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-26 11:01:29 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=964119, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:29 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:29 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=2.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:29 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1748836, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:29 DEBUG command:56 - Command execution completed
2016-04-26 11:01:29 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=2.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}]
2016-04-26 11:01:29 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:29 DEBUG command:56 - Command execution completed
2016-04-26 11:01:29 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:30 DEBUG query:56 - Query completed
2016-04-26 11:01:30 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 7 objects
2016-04-26 11:01:30 DEBUG connection:56 - Closing connection connectionId{localValue:4, serverValue:2005022}
2016-04-26 11:01:30 DEBUG connection:56 - Closing connection connectionId{localValue:3, serverValue:1418449}
2016-04-26 11:01:30 DEBUG connection:56 - Closing connection connectionId{localValue:2, serverValue:107853}
2016-04-26 11:01:30 INFO connection:71 - Closed connection [connectionId{localValue:5, serverValue:1700978}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-26 11:01:30 DEBUG connection:56 - Closing connection connectionId{localValue:5, serverValue:1700978}
2016-04-26 11:01:30 DEBUG connection:56 - Closing connection connectionId{localValue:1, serverValue:1700976}
2016-04-26 11:01:30 INFO MongoIO:508 - Mongo has been closed
2016-04-26 11:01:30 INFO DefaultMongoClient:1329 - getFolderTotalVolume 130827 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-26 11:01:30 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest
2016-04-26 11:01:30 INFO WorkspaceExplorerServiceImpl:503 - returning size: 130827
2016-04-26 11:01:31 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId e8663e07-6286-4212-920c-54dd7bbf205c
2016-04-26 11:01:31 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId e8663e07-6286-4212-920c-54dd7bbf205c
2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:01:31 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:01:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:31 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:31 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:31 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: e8663e07-6286-4212-920c-54dd7bbf205c
2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:01:31 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:01:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:31 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:31 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById e8663e07-6286-4212-920c-54dd7bbf205c
2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById e8663e07-6286-4212-920c-54dd7bbf205c
2016-04-26 11:01:31 INFO JCRServlets:142 - Calling servlet getChildrenById e8663e07-6286-4212-920c-54dd7bbf205c by giancarlo.panichi
2016-04-26 11:01:31 DEBUG ServiceEngine:306 - get() - start
2016-04-26 11:01:31 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 11:01:31 DEBUG BucketCoding:42 - coding name done
2016-04-26 11:01:31 DEBUG ServiceEngine:62 - path(String) - name: Max_Ent_Niche_Modelling
2016-04-26 11:01:31 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/
2016-04-26 11:01:31 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-26 11:01:31 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-26 11:01:31 INFO OperationFactory:39 - getOperation(String) - start getFolderSize
2016-04-26 11:01:31 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-26 11:01:31 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/
2016-04-26 11:01:31 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 11:01:31 DEBUG BucketCoding:42 - coding name done
2016-04-26 11:01:31 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-26 11:01:31 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-26 11:01:31 DEBUG MongoIO:77 - open mongo connection
2016-04-26 11:01:31 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-26 11:01:31 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:31 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:31 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:31 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@5f244f4f, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@4961b34, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@1ad3f546, socketFactory=javax.net.DefaultSocketFactory@518bd46c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-26 11:01:31 INFO MongoIO:106 - new mongo connection pool opened
2016-04-26 11:01:31 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-26 11:01:31 INFO connection:71 - Opened connection [connectionId{localValue:7, serverValue:1700979}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:31 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:31 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1471138, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:31 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-26 11:01:31 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:31 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:31 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:31 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:31 INFO connection:71 - Opened connection [connectionId{localValue:9, serverValue:2005024}] to mongo1-d-d4s.d4science.org:27017
2016-04-26 11:01:31 INFO connection:71 - Opened connection [connectionId{localValue:6, serverValue:107856}] to mongo2-d-d4s.d4science.org:27017
2016-04-26 11:01:31 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-26 11:01:31 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-26 11:01:31 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=932783, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:31 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:31 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1133231, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:31 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:01:31 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:01:31 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:01:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:01:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:31 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:31 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:31 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:31 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:31 INFO connection:71 - Opened connection [connectionId{localValue:8, serverValue:1418451}] to mongo4-d-d4s.d4science.org:27017
2016-04-26 11:01:31 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById e8663e07-6286-4212-920c-54dd7bbf205c
2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById e8663e07-6286-4212-920c-54dd7bbf205c
2016-04-26 11:01:31 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1568749, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:31 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}]
2016-04-26 11:01:31 INFO connection:71 - Opened connection [connectionId{localValue:10, serverValue:1700980}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:31 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:31 DEBUG command:56 - Command execution completed
2016-04-26 11:01:31 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:31 DEBUG command:56 - Command execution completed
2016-04-26 11:01:31 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:31 DEBUG command:56 - Command execution completed
2016-04-26 11:01:31 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling
2016-04-26 11:01:31 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:31 DEBUG command:56 - Command execution completed
2016-04-26 11:01:31 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:31 DEBUG command:56 - Command execution completed
2016-04-26 11:01:31 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:31 INFO JCRServlets:142 - Calling servlet getChildrenById e8663e07-6286-4212-920c-54dd7bbf205c by giancarlo.panichi
2016-04-26 11:01:31 INFO JCRServlets:697 - Calling Servlet get Parents By Id e8663e07-6286-4212-920c-54dd7bbf205c by giancarlo.panichi
2016-04-26 11:01:31 INFO WorkspaceExplorerServiceImpl:188 - end time - 64 msc 0 sec
2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2
2016-04-26 11:01:31 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=e8663e07-6286-4212-920c-54dd7bbf205c, name=Max_Ent_Niche_Modelling, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336
2016-04-26 11:01:31 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null]
2016-04-26 11:01:31 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null]
2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 8e60c918-6148-4c5b-9fd0-2dcefa90fa90
2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 8e60c918-6148-4c5b-9fd0-2dcefa90fa90
2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:01:32 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:01:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:32 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:32 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:518 - get MimeType By ItemId 8e60c918-6148-4c5b-9fd0-2dcefa90fa90
2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:01:32 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:01:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:32 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:32 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 8e60c918-6148-4c5b-9fd0-2dcefa90fa90
2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:01:32 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:01:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:32 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:32 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:32 INFO JCRServlets:267 - Servlet getItemById 8e60c918-6148-4c5b-9fd0-2dcefa90fa90
2016-04-26 11:01:32 INFO JCRServlets:267 - Servlet getItemById 8e60c918-6148-4c5b-9fd0-2dcefa90fa90
2016-04-26 11:01:32 INFO JCRServlets:267 - Servlet getItemById 8e60c918-6148-4c5b-9fd0-2dcefa90fa90
2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:503 - returning size: 96531
2016-04-26 11:01:32 DEBUG query:56 - Query completed
2016-04-26 11:01:32 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 1 objects
2016-04-26 11:01:32 DEBUG connection:56 - Closing connection connectionId{localValue:9, serverValue:2005024}
2016-04-26 11:01:32 DEBUG connection:56 - Closing connection connectionId{localValue:6, serverValue:107856}
2016-04-26 11:01:32 INFO connection:71 - Closed connection [connectionId{localValue:10, serverValue:1700980}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-26 11:01:32 DEBUG connection:56 - Closing connection connectionId{localValue:8, serverValue:1418451}
2016-04-26 11:01:32 DEBUG connection:56 - Closing connection connectionId{localValue:10, serverValue:1700980}
2016-04-26 11:01:32 INFO MongoIO:508 - Mongo has been closed
2016-04-26 11:01:32 INFO DefaultMongoClient:1329 - getFolderTotalVolume 96531 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling
2016-04-26 11:01:32 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling
2016-04-26 11:01:32 DEBUG connection:56 - Closing connection connectionId{localValue:7, serverValue:1700979}
2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:503 - returning size: 96531
2016-04-26 11:01:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:01:33 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:01:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:01:33 DEBUG DataMinerManagerServiceImpl:387 - retrieveTableInformation(): Item [id=8e60c918-6148-4c5b-9fd0-2dcefa90fa90, name=Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv, type=EXTERNAL_FILE, path=/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv, children=[], owner=giancarlo.panichi, isFolder=false, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=Wed Mar 09 18:11:30 CET 2016]
2016-04-26 11:01:33 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:33 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:33 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:33 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:33 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:33 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:33 INFO JCRServlets:267 - Servlet getItemById 8e60c918-6148-4c5b-9fd0-2dcefa90fa90
2016-04-26 11:01:33 DEBUG ServiceEngine:193 - get() - start
2016-04-26 11:01:33 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 11:01:33 DEBUG BucketCoding:42 - coding name done
2016-04-26 11:01:33 DEBUG ServiceEngine:62 - path(String) - name: Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/
2016-04-26 11:01:33 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-26 11:01:33 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null
2016-04-26 11:01:33 INFO OperationFactory:39 - getOperation(String) - start download
2016-04-26 11:01:33 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-26 11:01:33 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 11:01:33 DEBUG BucketCoding:42 - coding name done
2016-04-26 11:01:33 DEBUG Download:57 - DOWNLOAD /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv in bucket: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 DEBUG Operation:173 - get(String) - start
2016-04-26 11:01:33 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-26 11:01:33 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-26 11:01:33 DEBUG MongoIO:77 - open mongo connection
2016-04-26 11:01:33 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:33 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@5f244f4f, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@4961b34, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@1ad3f546, socketFactory=javax.net.DefaultSocketFactory@518bd46c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-26 11:01:33 INFO MongoIO:106 - new mongo connection pool opened
2016-04-26 11:01:33 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:11, serverValue:107857}] to mongo2-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:12, serverValue:1700982}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1436533, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:33 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1281460, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:33 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:14, serverValue:2005025}] to mongo1-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1424280, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:13, serverValue:1418452}] to mongo4-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1594425, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}]
2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:15, serverValue:1700983}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 INFO DefaultMongoClient:96 - MongoClient get method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM]
2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG query:56 - Query completed
2016-04-26 11:01:33 INFO MongoIO:186 - object found Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 INFO DefaultMongoClient:1047 - MongoClient download method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM]
2016-04-26 11:01:33 INFO DefaultMongoClient:1491 - set last operation: DOWNLOAD
2016-04-26 11:01:33 DEBUG update:56 - Updating documents in namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG update:56 - Update completed
2016-04-26 11:01:33 DEBUG query:56 - Sending query of namespace remotefs.fs.chunks on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG query:56 - Query completed
2016-04-26 11:01:33 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE)
2016-04-26 11:01:33 INFO HomeManageFactory:118 - getHomeManagerFactory
2016-04-26 11:01:33 DEBUG JCRHomeManagerFactory:123 - getHomeManager
2016-04-26 11:01:33 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi
2016-04-26 11:01:33 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi
2016-04-26 11:01:33 DEBUG JCRHomeManager:97 - User is already logged
2016-04-26 11:01:33 INFO JCRServlets:267 - Servlet getItemById 8e60c918-6148-4c5b-9fd0-2dcefa90fa90
2016-04-26 11:01:33 INFO JCRWorkspaceItem:998 - get PublicLink for item: Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube
2016-04-26 11:01:33 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube
2016-04-26 11:01:33 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 11:01:33 DEBUG BucketCoding:42 - coding name done
2016-04-26 11:01:33 DEBUG ServiceEngine:62 - path(String) - name: Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/
2016-04-26 11:01:33 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube
2016-04-26 11:01:33 DEBUG OperationManager:67 - connection(boolean) - start
2016-04-26 11:01:33 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared
2016-04-26 11:01:33 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl
2016-04-26 11:01:33 DEBUG OperationFactory:97 - getOperation(String) - end
2016-04-26 11:01:33 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/
2016-04-26 11:01:33 DEBUG BucketCoding:42 - coding name done
2016-04-26 11:01:33 DEBUG TransportManagerFactory:39 - getOperation(String) - start
2016-04-26 11:01:33 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager
2016-04-26 11:01:33 DEBUG MongoIO:77 - open mongo connection
2016-04-26 11:01:33 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150}
2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:33 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@5f244f4f, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@4961b34, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@1ad3f546, socketFactory=javax.net.DefaultSocketFactory@518bd46c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}}
2016-04-26 11:01:33 INFO MongoIO:106 - new mongo connection pool opened
2016-04-26 11:01:33 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out
2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:16, serverValue:107858}] to mongo2-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:17, serverValue:1700984}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1012344, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:33 INFO cluster:71 - Discovered cluster type of REPLICA_SET
2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster
2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1181466, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:33 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:19, serverValue:2005026}] to mongo1-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017
2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1014645, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]
2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:18, serverValue:1418453}] to mongo4-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017
2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1463286, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}}
2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}]
2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:20, serverValue:1700985}] to mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG command:56 - Command execution completed
2016-04-26 11:01:33 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017
2016-04-26 11:01:33 DEBUG query:56 - Query completed
2016-04-26 11:01:33 INFO MongoIO:186 - object found Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 DEBUG connection:56 - Closing connection connectionId{localValue:19, serverValue:2005026}
2016-04-26 11:01:33 DEBUG connection:56 - Closing connection connectionId{localValue:18, serverValue:1418453}
2016-04-26 11:01:33 DEBUG connection:56 - Closing connection connectionId{localValue:16, serverValue:107858}
2016-04-26 11:01:33 INFO connection:71 - Closed connection [connectionId{localValue:20, serverValue:1700985}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-26 11:01:33 DEBUG connection:56 - Closing connection connectionId{localValue:20, serverValue:1700985}
2016-04-26 11:01:33 INFO MongoIO:508 - Mongo has been closed
2016-04-26 11:01:33 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv
2016-04-26 11:01:33 DEBUG connection:56 - Closing connection connectionId{localValue:17, serverValue:1700984}
2016-04-26 11:01:33 INFO Operation:55 - URL generated: smp://data-d.d4science.org/mVHKwdH+VOfVW2bfDjeAkGie6DAgHZc0GmbP5+HKCzc=
2016-04-26 11:01:33 INFO Operation:57 - URL generated: smp://data-d.d4science.org/mVHKwdH+VOfVW2bfDjeAkGie6DAgHZc0GmbP5+HKCzc=
2016-04-26 11:01:33 DEBUG Operation:87 - translating: http://data-d.d4science.org/mVHKwdH+VOfVW2bfDjeAkGie6DAgHZc0GmbP5+HKCzc=
2016-04-26 11:01:33 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/
2016-04-26 11:01:33 DEBUG Operation:93 - get params: http://data-d.d4science.org/ mVHKwdH+VOfVW2bfDjeAkGie6DAgHZc0GmbP5+HKCzc=
2016-04-26 11:01:33 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0
2016-04-26 11:01:33 INFO Operation:65 - URL translated: http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0
2016-04-26 11:01:34 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017
2016-04-26 11:01:34 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}]
2016-04-26 11:01:37 DEBUG connection:56 - Closing connection connectionId{localValue:14, serverValue:2005025}
2016-04-26 11:01:37 DEBUG connection:56 - Closing connection connectionId{localValue:11, serverValue:107857}
2016-04-26 11:01:37 DEBUG connection:56 - Closing connection connectionId{localValue:13, serverValue:1418452}
2016-04-26 11:01:37 INFO connection:71 - Closed connection [connectionId{localValue:15, serverValue:1700983}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed.
2016-04-26 11:01:37 DEBUG connection:56 - Closing connection connectionId{localValue:15, serverValue:1700983}
2016-04-26 11:01:37 DEBUG connection:56 - Closing connection connectionId{localValue:12, serverValue:1700982}
2016-04-26 11:01:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:01:40 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-26 11:02:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:02:35 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 11:03:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:03:30 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:03:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:03:33 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-26 11:03:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:03:33 DEBUG DataMinerManagerServiceImpl:149 - StartComputation(): [computationTitle=Max Ent Niche Modelling-2016-04-26 11:01, computationDescription=Max Ent Niche Modelling-2016-04-26 11:01, operator=Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=maxent_, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT], ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=Latimeria, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=1000, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=0.5, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT], TabularParameter [tableName=http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0, templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN], Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN], ObjectParameter [type=java.lang.Double, defaultValue=1, value=0.5, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=1, value=0.5, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ListParameter [type=java.lang.String, value=fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST], ObjectParameter [type=java.lang.Double, defaultValue=0, value=0.0, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=0, value=0, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]], hasImage=false]]
2016-04-26 11:03:33 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 11:03:33 INFO StatWPSClientSession:84 - CONNECT
2016-04-26 11:03:34 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt
OutputTableLabel
The name of the table to produce
Name of the parameter: OutputTableLabel. The name of the table to produce
maxent_
SpeciesName
The name of the species to model and the occurrence records refer to
Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to
generic_species
MaxIterations
The number of learning iterations of the MaxEnt algorithm
Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm
1000
DefaultPrevalence
A priori probability of presence at ordinary occurrence points
Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points
0.5
OccurrencesTable
A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
text/xml
text/xml
text/csv
text/plain
LongitudeColumn
The column containing longitude values [the name of a column from OccurrencesTable]
Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable]
decimallongitude
LatitudeColumn
The column containing latitude values [the name of a column from OccurrencesTable]
Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable]
decimallatitude
XResolution
Model projection resolution on the X axis in decimal degrees
Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees
1
YResolution
Model projection resolution on the Y axis in decimal degrees
Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees
1
Layers
The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
Z
Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
0
TimeIndex
Time Index. The default is the first time indexed in the input environmental datasets
Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets
0
2016-04-26 11:03:34 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
OutputTableLabel
The name of the table to produce
Name of the parameter: OutputTableLabel. The name of the table to produce
maxent_
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
SpeciesName
The name of the species to model and the occurrence records refer to
Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to
generic_species
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
MaxIterations
The number of learning iterations of the MaxEnt algorithm
Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm
1000
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
DefaultPrevalence
A priori probability of presence at ordinary occurrence points
Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points
0.5
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencesTable
A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
text/xml
text/xml
text/csv
text/plain
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
LongitudeColumn
The column containing longitude values [the name of a column from OccurrencesTable]
Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable]
decimallongitude
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
LatitudeColumn
The column containing latitude values [the name of a column from OccurrencesTable]
Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable]
decimallatitude
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
XResolution
Model projection resolution on the X axis in decimal degrees
Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees
1
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
YResolution
Model projection resolution on the Y axis in decimal degrees
Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees
1
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
Layers
The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
Z
Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
0
2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input:
TimeIndex
Time Index. The default is the first time indexed in the input environmental datasets
Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets
0
2016-04-26 11:03:34 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output:
Best Threshold
Best threshold for transforming MaxEnt values into 0/1 probability assignments
Name of the parameter: Best Threshold. Best threshold for transforming MaxEnt values into 0/1 probability assignments
2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output:
Estimated Prevalence
The a posteriori estimated prevalence of the species
Name of the parameter: Estimated Prevalence. The a posteriori estimated prevalence of the species
2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output:
Variables contributions
The contribution of each variable to the MaxEnt values estimates
Name of the parameter: Variables contributions. The contribution of each variable to the MaxEnt values estimates
2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output:
Variables Permutations Importance
The importance of the permutations of the variables during the training
Name of the parameter: Variables Permutations Importance. The importance of the permutations of the variables during the training
2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output:
ASCII Maps of the environmental layers for checking features aligments
ASCII Maps of the environmental layers for checking features aligments
Name of the parameter: ASCII Maps of the environmental layers for checking features aligments. ASCII Maps of the environmental layers for checking features aligments
application/d4science
application/d4science
2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable7
Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OutputTable7. Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/csv
text/csv
2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-26 11:03:34 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->OutputTableLabel is a Literal Input
2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: maxent_
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the table to produce
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OutputTableLabel
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=null, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT]
2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->SpeciesName is a Literal Input
2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: generic_species
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the species to model and the occurrence records refer to
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SpeciesName
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=null, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT]
2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->MaxIterations is a Literal Input
2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 1000
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of learning iterations of the MaxEnt algorithm
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:MaxIterations
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=null, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT]
2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->DefaultPrevalence is a Literal Input
2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 0.5
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A priori probability of presence at ordinary occurrence points
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:DefaultPrevalence
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT]
2016-04-26 11:03:34 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencesTable is a Complex Input
2016-04-26 11:03:34 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-26 11:03:34 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-26 11:03:34 DEBUG WPS2SM:201 - Schema: null
2016-04-26 11:03:34 DEBUG WPS2SM:202 - Encoding: null
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencesTable
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->LongitudeColumn is a Literal Input
2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: decimallongitude
2016-04-26 11:03:34 DEBUG WPS2SM:130 - Machter title: The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude]
2016-04-26 11:03:34 DEBUG WPS2SM:131 - Machter find: true
2016-04-26 11:03:34 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable
2016-04-26 11:03:34 DEBUG WPS2SM:133 - Machter start: 40
2016-04-26 11:03:34 DEBUG WPS2SM:134 - Machter end: 82
2016-04-26 11:03:34 DEBUG WPS2SM:135 - Machter Group Count: 1
2016-04-26 11:03:34 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing longitude values [the name of a column from OccurrencesTable]
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LongitudeColumn
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN]
2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->LatitudeColumn is a Literal Input
2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: decimallatitude
2016-04-26 11:03:34 DEBUG WPS2SM:130 - Machter title: The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude]
2016-04-26 11:03:34 DEBUG WPS2SM:131 - Machter find: true
2016-04-26 11:03:34 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable
2016-04-26 11:03:34 DEBUG WPS2SM:133 - Machter start: 39
2016-04-26 11:03:34 DEBUG WPS2SM:134 - Machter end: 81
2016-04-26 11:03:34 DEBUG WPS2SM:135 - Machter Group Count: 1
2016-04-26 11:03:34 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing latitude values [the name of a column from OccurrencesTable]
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LatitudeColumn
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN]
2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->XResolution is a Literal Input
2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the X axis in decimal degrees
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:XResolution
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->YResolution is a Literal Input
2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the Y axis in decimal degrees
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:YResolution
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->Layers is a Literal Input
2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value:
2016-04-26 11:03:34 DEBUG WPS2SM:147 - Machter title: The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1]
2016-04-26 11:03:34 DEBUG WPS2SM:148 - Machter find: true
2016-04-26 11:03:34 DEBUG WPS2SM:149 - Machter group: a sequence of values separated by |
2016-04-26 11:03:34 DEBUG WPS2SM:150 - Machter start: 501
2016-04-26 11:03:34 DEBUG WPS2SM:151 - Machter end: 536
2016-04-26 11:03:34 DEBUG WPS2SM:152 - Machter Group Count: 1
2016-04-26 11:03:34 DEBUG WPS2SM:155 - Matcher separator: |
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Layers
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ListParameter [type=java.lang.String, value=null, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST]
2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->Z is a Literal Input
2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 0
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Z
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0, value=null, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]
2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->TimeIndex is a Literal Input
2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 0
2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Time Index. The default is the first time indexed in the input environmental datasets
2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:TimeIndex
2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:OutputTableLabel, value=maxent_
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:SpeciesName, value=Latimeria
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:MaxIterations, value=1000
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:DefaultPrevalence, value=0.5
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencesTable, value=http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:LongitudeColumn, value=decimalLongitude
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:LatitudeColumn, value=decimalLatitude
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:XResolution, value=0.5
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:YResolution, value=0.5
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:Layers, value=fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:Z, value=0.0
2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:TimeIndex, value=0
2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: OutputTableLabel to: maxent_
2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: SpeciesName to: Latimeria
2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: MaxIterations to: 1000
2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: DefaultPrevalence to: 0.5
2016-04-26 11:03:34 DEBUG SClient4WPS:748 - Configuring Complex: OccurrencesTable to: http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0
2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: LongitudeColumn to: decimalLongitude
2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: LatitudeColumn to: decimalLatitude
2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: XResolution to: 0.5
2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: YResolution to: 0.5
2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: Layers to: fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31
2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: Z to: 0.0
2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: TimeIndex to: 0
2016-04-26 11:03:34 INFO StatWPSClientSession:84 - CONNECT
2016-04-26 11:03:34 DEBUG SClient4WPS:380 - Sending:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
OutputTableLabel
maxent_
SpeciesName
Latimeria
MaxIterations
1000
DefaultPrevalence
0.5
OccurrencesTable
LongitudeColumn
decimalLongitude
LatitudeColumn
decimalLatitude
XResolution
0.5
YResolution
0.5
Layers
fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31
Z
0.0
TimeIndex
0
2016-04-26 11:03:34 DEBUG StatWPSClientSession:420 - RetrieveDataViaPost(): http://dataminer1-d-d4s.d4science.org:80/wps/WebProcessingService?
2016-04-26 11:03:34 DEBUG SClient4WPS:399 - Retrieved ProcessLocation: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:03:34 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 11:03:34 DEBUG SClient4WPS:768 - Starting Process: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:03:34 DEBUG SClient4WPS:695 - Stated Computation ProcessLocation:http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:03:34 DEBUG SClient4WPS:706 - ComputationId: ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df]
2016-04-26 11:03:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:03:45 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:03:45 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:03:45 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df]
2016-04-26 11:03:45 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:03:45 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:03:45 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:03:45 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:03:45 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:03:45 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:03:45 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:03:45 DEBUG SClient4WPS:872 - WPS STATUS:10.0
2016-04-26 11:03:45 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=10.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:03:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:03:55 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:03:55 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:03:55 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df]
2016-04-26 11:03:55 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:03:55 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:03:55 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:03:55 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:03:55 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:03:55 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:03:55 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:03:55 DEBUG SClient4WPS:872 - WPS STATUS:30.0
2016-04-26 11:03:55 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=30.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:04:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:04:05 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:04:05 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:04:05 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df]
2016-04-26 11:04:05 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:04:05 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:04:05 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:04:05 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:04:05 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:04:05 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:04:05 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:04:05 DEBUG SClient4WPS:872 - WPS STATUS:30.0
2016-04-26 11:04:05 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=30.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:04:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:04:15 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:04:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:04:15 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df]
2016-04-26 11:04:15 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:04:15 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:04:15 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:04:15 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:04:15 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:04:15 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:04:15 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:04:15 DEBUG SClient4WPS:872 - WPS STATUS:70.0
2016-04-26 11:04:15 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=70.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:04:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:04:25 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:04:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:04:25 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df]
2016-04-26 11:04:25 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:04:25 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:04:25 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:04:25 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:04:25 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:04:25 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:04:25 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:04:25 DEBUG SClient4WPS:872 - WPS STATUS:70.0
2016-04-26 11:04:25 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=70.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:04:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:04:25 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:04:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:04:35 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:04:35 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:04:35 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df]
2016-04-26 11:04:35 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:04:35 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:04:35 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:04:35 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:04:35 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:04:35 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:04:35 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:04:35 DEBUG SClient4WPS:872 - WPS STATUS:80.0
2016-04-26 11:04:35 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=80.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:04:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:04:45 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-26 11:04:45 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:04:45 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df]
2016-04-26 11:04:45 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:04:45 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:04:45 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:04:45 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:04:45 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:04:45 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:04:45 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:04:45 DEBUG SClient4WPS:872 - WPS STATUS:80.0
2016-04-26 11:04:45 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=80.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:04:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:04:55 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 11:04:55 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:04:55 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df]
2016-04-26 11:04:55 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:04:55 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:04:55 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:04:55 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:04:55 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:04:55 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:04:55 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
Process successful
ASCII Maps of the environmental layers for checking features aligments
ASCII Maps of the environmental layers for checking features aligments
_____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________
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___________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________ __________________________________________________________ ________________________________________________ ___ _____________ _____ ______ _____ _______________________________________________________________________________________________________
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_________________________________________________________________________________________________________________________________________________________________________________ _____________________ ____________________________________________________________________________________________________________________ _____________________________________________________________ ______________________________________________________ ___________ ____________________ _____ _________________________________________________________________________________________________
_______________________________________________________________________________________________________________________________________________________________________________________________________ _ _______________________________________________________________________________________________________________ ______________________________________________________________ ___________________________________________________ ___ ___________ _____ __ ______________ ____________________________________________________________________________________________
_______________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ _______________________________________________________________ ____________________________________________________ __ __ ________ ______ _____ ________ ___ ____ __ ___________________________________________________________________________________
_______________________________________________________________________________________________________________________________________________________________________________________________________ _ __________________________________________________________________________________________________________ _________________________________________________________________ ________________________________________________________ ___ ___ _____ ______________________ ____ ___________________ ___________________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________ __________________________________________________________________ _________________________________________________________ ____________ _ _____ _ _______ __ ____ _ __________________ ________________________________________________________
_______________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________ ___________________________________________________________________ ___________________________________________________________ _________________ _________ __ _____________________ __ ________________ ______________________________________________________
______________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________ ____________________________________________________________________ _____________________________________________________________ ___________________________ __ ___________________________ ____________ _______________________________________________________
_______________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________ ____________________________________________________________________ __________________________________________________________ ___ ___________________________ ____ ______________________________ _________ _____ __________________________________________________
_______________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________ ___________________________________________________________________ _________________________________________________________________ _____________________________________________________ ________ ____ _________ _________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________ ___________________________________________________________________ __________________________________________________________________ _________________________________________________ ___________________ ______________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________ __________________________________________________________________ __________________________________________________________________________ ______________________ _______ __ _____________ ___ ______________________ _________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________________________________________________________ ___________________________________________________________________ _____________________________________________________________________________________ _____ ___________________________ ______ ________________________ ______________________________________
____________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________________________________________________________ _____________ _____________________________________________________ ____________________________________________________________________________________________ ________ ____________________________________________ __ _________________ _ _____________________________________
____________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________ __________________________________________________________________ ______________________________________________________________________________________________ _____ ___________________________________ ____________ ___________________________________________________________
_____________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________ _________________________________________________________________ __________________________________________________________________________________________________________________________________________ ___________________________________________________________________________
______________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________ _____ ___________________________________________________________ __________________________________________________________________________________________________________________ __ __________________ __________________________________ _______________________________________
_______________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________ _________________ _______________________________________________ ____________________________________________________________________________________________________________________ _ _________ __________________________________________________________________________
________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________ _________________ ______________________________________________ __________________________________________________________________________________________________________________ __________ _________________________________________________________________________
_________________ ______________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________ _______________ ______________________________________________ __________________________________________________________________________________________________________________ _ _________ _________________________________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________ _____________ ______________________________________________ ________________________________________________________________________________________________________ ___ ____________ ______________________________________________________________________
_________________________________________________________________ ________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________ _____________ _____________________________________________ _______________________________________________________________________________________________________ ___________ __________________________________________ __________________________
___________________________________________________________________________ ________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________ __________ _______________________________________________ _______________________________________________________________________________________________________ _________ ___________________________________________ _________________________
_ _______________________________________________________ ______________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________ __________ ______________________________________________ ___________________________________________________________________________________________________ _ _____ _____________________________________________ ____________________ _
__________________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________________________________________________________________ _____________ _______________________________________________ __________________________________________________________________________________________________ ___ ________________________________________________________________ ___
___________________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________ ______________ _______________________________________________ __________________________________________________________________________________________________ _______________________________________________________________ ___
____________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________ _________________ ________________________________________________ _________________________________________________________________________________________________ _____________________________________________ _________________ ___
____________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________ __________________ ________________________________________________ ________________________________________________________________________________________________ _________________________________________________________________
____________________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________ __________________ _________________________________________________ __________________________________________________________________________________________ ______________________________ _______________________________
____________________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________________________________________________________________________ __________________ ______________ __________________________________ ______________________________________________________________________________________ ________________________________ _____________________________
____________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________ ________________ __________________________________________________ ___________________________________________________________________________________ _________________________________ ___________________________
____________________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________________________________________________________________________ ________________ __________________________________________________ _________________________________________________________________________________ _______________________________ __________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________ ________________ ___________________________________________________ __________________________________________________________________________________ __________________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________ ________________ ___________________________________________________ _________________________________________________________________________________ _________________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________________________________ __________________ ____________________________________________________ _________________________________________________________________________________ _______________________________________________________
____________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________ ________________________ ______________________________________________________ __________________________________________________________________________________ _____________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________________________________ _________________________________________________________________________________ ________________________________________________________________________________ _ ______________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________________________________ ________________________________________________________________________________ _________________________________________________________________________________ ______________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________ _________________________________________________________________________________ __________________________________________________________________________________ ______________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________ _________________________________________________________________________________ __________________________________________________________________________________ _____________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________________________________________ __________________________________________________________________________________ ___________________________________________________________________________________ _____________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________________________________________________________________________________________________ ___________________________________________________________________________________ ____________________________________________________________________________________ _____________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________ ____________________________________________________________________________________ ____________________________________________________________________________________ ______________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________________________________________ _____________________________________________________________________________________ ____________________________________________________________________________________ ______________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________ _____________________________________________________________________________________ ______________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________ _____________________________________________________________________________________ ___________ _______________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________ _____________________________________________________________________________________ __________________ ________________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________ _____________________________________________________________________________________ ______________________ _ _________________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________________________ _ _ ________________________________________________________________________________________________ ____________________________________________________________________________________ _______________________________ __ __________________________________________________________
________________________________________________________________________________________________________________________________________________________________________________________________________________________ ___ ___________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________ ______________________________________________________________________________________ __________________________________ ___ _ __________________________________________________________
________________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________________________________________ _____________________________________________ ____________
_______________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________________________________ ____ _______________________________________________ ___________
_______________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________ _________________________________________________ __________
______________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________ _________________________________________________ ________
_____________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________________________________________ ___________________________________________________ ___ ___
_____________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________________________________________________________________________________________________ ______________________________________________________ ___
______________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________ ________________________________________________________ ____
______________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________ ______
_____________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________ _____________________________________________________ ______
_____________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________________________________________________________________________________________________________ ____ _______
_____________________________________________________________________________________________________________________________________________________________________________________________________________________ ___ ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________________________________________________ _______________________________________________ _ ________
_____________________________________________________________________________________________________________________________________________________________________________________________________________________ _ ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________________________ ______________________________________________ ____________
____________________________________________________________________________________________________________________________________________________________________________________________________________________ __ _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________________________ ______________________________________________ _____________
____________________________________________________________________________________________________________________________________________________________________________________________________________________ __ ___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________________________________________________________________________________________________________ ______________________________________________ ______________
______________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________________________________________________________ _____________________________________________ ______________
______________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________________________________________________________________________________________________ _________________
____________________________________________________________________________________________________________________________________________________________________________________________________________________ _ _____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________________________________________________________________________________________________________________________________________________________ __________________
____________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________ __________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________________________________________________________________________________________________ ___________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________ ____________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________ _ ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
____________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _____ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________ ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
_____________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
______________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
_____________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
______________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
_____________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
_____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
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____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _ _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
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_________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _ _ _ ___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________________________ ___________________________________________________________________________________________________________________________________________________________________
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________ ______________________________________________________________________ __________________________________________________________________________________________
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________ ___ __ _____________________________________________________________ __________________________________________________________________________________________
____________________________________________________________________________________________________________________________________________________________________________________________________________________________________ __ __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ _____________________________________________ _________________ __________________________________________ __________________________________________________________________________________________
______________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________ ___________________________ ______________ _____________ ________________________________________ _________________________________________________________________________________________
____________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________________________________________________________________________________________________________________________________ _________________________________ _________________ __ _ ____________ _______ __ _____________ _______ ____________________________________________________________________________________
________________________________________________________________________________________________________________________________________________________________________________________________________________________________ __ _____________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________ _________________ __ ________ ___ _______________________________________________________________________________
_______________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________ __ _______________________________ ___________________ ________________________________________________________________________
_______________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________ __________________ ______________________________________ ______________________________
______________________________________________________________________________________________________________________________________________________________________________________________________________________________ _ ______________________________________________________________________________________________________________________________________________________________________________________________________________________ __ _ _________________ _________________ _____________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________ _______ ________________ __________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________________________ _______ ____________ _______________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ___________________________________________________________________________________________________________________________________________________________________________________________________________ ______ __________ _______ ____________________________________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________ ___________ ___ __________ __________________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________________ ______ _____________________________________________________________________________________________________________________________________________________________________________________________ _________ _ __________ _________________________________________________
________________________________________________________________________________________________________________________________________________________________________________________________________________________ ____ ______________________________________________________________________________________________________________________________________________________________________________________ _______ ________ _____________________________________________
________________________________________________________________________________________________________________________________________________________________________________________________________________________ _ ______________________________________________________________________________________________________________________________________________________ ____________________________ _ ___ _____ __________________________________________
_______________________________________________________________________________________________________________________________________________________________________________________________________________________ _ _____________________________________________________________________________________________________________________________________________________ _____________________ ________________________________________
_________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________ _________ __ __________ _______________________________________
___________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________________________ __________________________________
____________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________ _ _ _____________________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________ ______________________________________________________________________________________________________ ________________________
_______________________________________________________________________________________________________________________________________________________________________________________________________________ ____ __________________________________________________________________________________________________ ________________________
_____________________________________________________________________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________________________ ______________________
__________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________ __________________
__________________________________________________________________________________________________________________________________________________________________ _______________________________________________ _______________________________________________________________________________________________ __________________
____________________________________________________________________________________________________________________________________________________________ ___________________________________________ _______________________________________________________________________________________________ ____________________
_________________________________________________________________________________________________________________________________________________________ _ _____________________________________________ ___________________________________________________________________________________________ ____________________
__________________________________________________________________________________________________________________________________________________________ _________________________________ _________ _________________________________________________________________________________________ ___________________
__________________________________________________________________________________________________________________________________________________________ ___________________ _______ _______________________________________________________________________________________ ____________________
_________________________________________________________________________________________________________________________________________________________ _______________ ___ _________________________________________________________________________________ _____________________
__________________________________________________________________________________________________________________________________________________________ __________ _________________________________________________________________________________ _____________________
__________________________________________________________________________________________________________ _______________________________ ______________ ______ ___________________________________________________________________________________ _ ____________________
__________________________________________________________________________________________________________ _____________________________ ___________ ____ __________________________________________________________________________________ __ _______________________
__________________________________________________________________________________________________________ _________________ __________ ____ _________________________________________________________________________________ ____________________________
_________________________________________________________________________________________________________ __ _ ________ ___________ __________________________________________________________________________________ ____________________________
_________________________________________________________________________________________________ _ ____ _________ __________________________________________________________________________________ ______________________________
_____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________
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_____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________
_____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________
_____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________
_____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________
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_____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________
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_____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________
OutputTable7
Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
id,csquarecode,x,y,z,time,fvalue
1,5918:100:1,-180,-90,0,0,0.0107445
2,5917:209:2,-179.5,-90,0,0,0.0107516
3,5917:209:1,-179,-90,0,0,0.0107539
4,5917:208:2,-178.5,-90,0,0,0.0107516
5,5917:208:1,-178,-90,0,0,0.0107539
6,5917:207:2,-177.5,-90,0,0,0.0107563
7,5917:207:1,-177,-90,0,0,0.010761
8,5917:206:2,-176.5,-90,0,0,0.0107634
9,5917:206:1,-176,-90,0,0,0.0107634
10,5917:205:2,-175.5,-90,0,0,0.0107657
11,5917:205:1,-175,-90,0,0,0.0107657
12,5917:104:2,-174.5,-90,0,0,0.010768
13,5917:104:1,-174,-90,0,0,0.0107704
14,5917:103:2,-173.5,-90,0,0,0.0107704
15,5917:103:1,-173,-90,0,0,0.0107728
16,5917:102:2,-172.5,-90,0,0,0.0107728
17,5917:102:1,-172,-90,0,0,0.0107751
18,5917:101:2,-171.5,-90,0,0,0.0107751
19,5917:101:1,-171,-90,0,0,0.0107751
20,5917:100:2,-170.5,-90,0,0,0.0107775
21,5917:100:1,-170,-90,0,0,0.0107775
22,5916:209:2,-169.5,-90,0,0,0.0107798
23,5916:209:1,-169,-90,0,0,0.0107798
24,5916:208:2,-168.5,-90,0,0,0.0107798
25,5916:208:1,-168,-90,0,0,0.0107822
26,5916:207:2,-167.5,-90,0,0,0.0107822
27,5916:207:1,-167,-90,0,0,0.0107845
28,5916:206:2,-166.5,-90,0,0,0.0107845
29,5916:206:1,-166,-90,0,0,0.0107822
30,5916:205:2,-165.5,-90,0,0,0.0107822
31,5916:205:1,-165,-90,0,0,0.0107822
32,5916:104:2,-164.5,-90,0,0,0.0107822
33,5916:104:1,-164,-90,0,0,0.0107822
34,5916:103:2,-163.5,-90,0,0,0.0107822
35,5916:103:1,-163,-90,0,0,0.0107845
36,5916:102:2,-162.5,-90,0,0,0.0107845
37,5916:102:1,-162,-90,0,0,0.0107845
38,5916:101:2,-161.5,-90,0,0,0.0107845
39,5916:101:1,-161,-90,0,0,0.0107869
40,5916:100:2,-160.5,-90,0,0,0.0107892
41,5916:100:1,-160,-90,0,0,0.0107916
42,5915:209:2,-159.5,-90,0,0,0.010794
43,5915:209:1,-159,-90,0,0,0.010794
44,5915:208:2,-158.5,-90,0,0,0.0107963
45,5915:208:1,-158,-90,0,0,0.0107987
46,5915:207:2,-157.5,-90,0,0,0.0107987
47,5915:207:1,-157,-90,0,0,0.0107963
48,5915:206:2,-156.5,-90,0,0,0.0107963
49,5915:206:1,-156,-90,0,0,0.0107987
50,5915:205:2,-155.5,-90,0,0,0.0108011
51,5915:205:1,-155,-90,0,0,0.0108011
52,5915:104:2,-154.5,-90,0,0,0.0107963
53,5915:104:1,-154,-90,0,0,0.0107963
54,5915:103:2,-153.5,-90,0,0,0.0107987
55,5915:103:1,-153,-90,0,0,0.0108011
56,5915:102:2,-152.5,-90,0,0,0.0108011
57,5915:102:1,-152,-90,0,0,0.0107987
58,5915:101:2,-151.5,-90,0,0,0.010794
59,5915:101:1,-151,-90,0,0,0.010794
60,5915:100:2,-150.5,-90,0,0,0.010794
61,5915:100:1,-150,-90,0,0,0.010794
62,5914:209:2,-149.5,-90,0,0,0.010794
63,5914:209:1,-149,-90,0,0,0.0107916
64,5914:208:2,-148.5,-90,0,0,0.0107916
65,5914:208:1,-148,-90,0,0,0.0107916
66,5914:207:2,-147.5,-90,0,0,0.0107916
67,5914:207:1,-147,-90,0,0,0.0107892
68,5914:206:2,-146.5,-90,0,0,0.0107892
69,5914:206:1,-146,-90,0,0,0.0107869
70,5914:205:2,-145.5,-90,0,0,0.0107869
71,5914:205:1,-145,-90,0,0,0.0107869
72,5914:104:2,-144.5,-90,0,0,0.0107845
73,5914:104:1,-144,-90,0,0,0.0107845
74,5914:103:2,-143.5,-90,0,0,0.0107845
75,5914:103:1,-143,-90,0,0,0.0107869
76,5914:102:2,-142.5,-90,0,0,0.0107869
77,5914:102:1,-142,-90,0,0,0.0107845
78,5914:101:2,-141.5,-90,0,0,0.0107822
79,5914:101:1,-141,-90,0,0,0.0107845
80,5914:100:2,-140.5,-90,0,0,0.0107845
81,5914:100:1,-140,-90,0,0,0.0107869
82,5913:209:2,-139.5,-90,0,0,0.0107869
83,5913:209:1,-139,-90,0,0,0.0107869
84,5913:208:2,-138.5,-90,0,0,0.0107869
85,5913:208:1,-138,-90,0,0,0.0107892
86,5913:207:2,-137.5,-90,0,0,0.0108011
87,5913:207:1,-137,-90,0,0,0.0108365
88,5913:206:2,-136.5,-90,0,0,0.0108911
89,5913:206:1,-136,-90,0,0,0.011018
90,5913:205:2,-135.5,-90,0,0,0.0114874
91,5913:205:1,-135,-90,0,0,0.0116389
92,5913:104:2,-134.5,-90,0,0,0.0116161
93,5913:104:1,-134,-90,0,0,0.0117282
94,5911:100:1,-110,-90,0,0,0.013678
95,5910:209:2,-109.5,-90,0,0,0.0146717
96,5910:209:1,-109,-90,0,0,0.0155562
97,5910:208:2,-108.5,-90,0,0,0.015455
98,5910:206:1,-106,-90,0,0,0.0110517
99,5910:205:2,-105.5,-90,0,0,0.0109197
100,5910:205:1,-105,-90,0,0,0.0108721
101,5910:104:2,-104.5,-90,0,0,0.0109078
102,5910:104:1,-104,-90,0,0,0.0113677
103,5910:103:2,-103.5,-90,0,0,0.012233
104,5910:103:1,-103,-90,0,0,0.0128372
105,5910:102:2,-102.5,-90,0,0,0.0129807
106,5906:101:2,-61.5,-90,0,0,0.0108768
107,5906:101:1,-61,-90,0,0,0.0108626
108,5906:100:2,-60.5,-90,0,0,0.010827
109,5906:100:1,-60,-90,0,0,0.0108011
110,5905:209:2,-59.5,-90,0,0,0.0107798
111,5905:209:1,-59,-90,0,0,0.0107539
112,5905:208:2,-58.5,-90,0,0,0.0107351
113,5905:208:1,-58,-90,0,0,0.0107305
114,5905:207:2,-57.5,-90,0,0,0.0107281
115,5905:207:1,-57,-90,0,0,0.0107257
116,5905:206:2,-56.5,-90,0,0,0.0107234
117,5905:206:1,-56,-90,0,0,0.0107234
118,5905:205:2,-55.5,-90,0,0,0.0107234
119,5905:205:1,-55,-90,0,0,0.0107257
120,5905:104:2,-54.5,-90,0,0,0.0107257
121,5905:104:1,-54,-90,0,0,0.0107257
122,5905:103:2,-53.5,-90,0,0,0.0107257
123,5905:103:1,-53,-90,0,0,0.0107281
124,5905:102:2,-52.5,-90,0,0,0.0107305
125,5905:102:1,-52,-90,0,0,0.0107328
126,5905:101:2,-51.5,-90,0,0,0.0107328
127,5905:101:1,-51,-90,0,0,0.0107351
128,5905:100:2,-50.5,-90,0,0,0.0107351
129,5905:100:1,-50,-90,0,0,0.0107351
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1920,5817:350:3,-170,-85.5,0,0,0.0107775
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1922,5816:459:3,-169,-85.5,0,0,0.0107798
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1928,5816:456:3,-166,-85.5,0,0,0.0107822
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1930,5816:455:3,-165,-85.5,0,0,0.0107822
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1932,5816:354:3,-164,-85.5,0,0,0.0107822
1933,5816:353:4,-163.5,-85.5,0,0,0.0107822
1934,5816:353:3,-163,-85.5,0,0,0.0107845
1935,5816:352:4,-162.5,-85.5,0,0,0.0107845
1936,5816:352:3,-162,-85.5,0,0,0.0107845
1937,5816:351:4,-161.5,-85.5,0,0,0.0107845
1938,5816:351:3,-161,-85.5,0,0,0.0107869
1939,5816:350:4,-160.5,-85.5,0,0,0.0107892
1940,5816:350:3,-160,-85.5,0,0,0.0107916
1941,5815:459:4,-159.5,-85.5,0,0,0.010794
1942,5815:459:3,-159,-85.5,0,0,0.010794
1943,5815:458:4,-158.5,-85.5,0,0,0.0107963
1944,5815:458:3,-158,-85.5,0,0,0.0107987
1945,5815:457:4,-157.5,-85.5,0,0,0.0107987
1946,5815:457:3,-157,-85.5,0,0,0.0107963
1947,5815:456:4,-156.5,-85.5,0,0,0.0107963
1948,5815:456:3,-156,-85.5,0,0,0.0107987
1949,5815:455:4,-155.5,-85.5,0,0,0.0108011
1950,5815:455:3,-155,-85.5,0,0,0.0108011
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1952,5815:354:3,-154,-85.5,0,0,0.0107963
1953,5815:353:4,-153.5,-85.5,0,0,0.0107987
1954,5815:353:3,-153,-85.5,0,0,0.0108011
1955,5815:352:4,-152.5,-85.5,0,0,0.0108011
1956,5815:352:3,-152,-85.5,0,0,0.0107987
1957,5815:351:4,-151.5,-85.5,0,0,0.010794
1958,5815:351:3,-151,-85.5,0,0,0.010794
1959,5815:350:4,-150.5,-85.5,0,0,0.010794
1960,5815:350:3,-150,-85.5,0,0,0.010794
1961,5814:459:4,-149.5,-85.5,0,0,0.010794
1962,5814:459:3,-149,-85.5,0,0,0.0107916
1963,5814:458:4,-148.5,-85.5,0,0,0.0107916
1964,5814:458:3,-148,-85.5,0,0,0.0107916
1965,5814:457:4,-147.5,-85.5,0,0,0.0107916
1966,5814:457:3,-147,-85.5,0,0,0.0107892
1967,5814:456:4,-146.5,-85.5,0,0,0.0107892
1968,5814:456:3,-146,-85.5,0,0,0.0107869
1969,5814:455:4,-145.5,-85.5,0,0,0.0107869
1970,5814:455:3,-145,-85.5,0,0,0.0107869
1971,5814:354:4,-144.5,-85.5,0,0,0.0107845
1972,5814:354:3,-144,-85.5,0,0,0.0107845
1973,5814:353:4,-143.5,-85.5,0,0,0.0107845
1974,5814:353:3,-143,-85.5,0,0,0.0107869
1975,5814:352:4,-142.5,-85.5,0,0,0.0107869
1976,5814:352:3,-142,-85.5,0,0,0.0107845
1977,5814:351:4,-141.5,-85.5,0,0,0.0107822
1978,5814:351:3,-141,-85.5,0,0,0.0107845
1979,5814:350:4,-140.5,-85.5,0,0,0.0107845
1980,5814:350:3,-140,-85.5,0,0,0.0107869
1981,5813:459:4,-139.5,-85.5,0,0,0.0107869
1982,5813:459:3,-139,-85.5,0,0,0.0107869
1983,5813:458:4,-138.5,-85.5,0,0,0.0107869
1984,5813:458:3,-138,-85.5,0,0,0.0107892
1985,5813:457:4,-137.5,-85.5,0,0,0.0108011
1986,5813:457:3,-137,-85.5,0,0,0.0108365
1987,5813:456:4,-136.5,-85.5,0,0,0.0108911
1988,5813:456:3,-136,-85.5,0,0,0.011018
1989,5813:455:4,-135.5,-85.5,0,0,0.0114874
1990,5813:455:3,-135,-85.5,0,0,0.0116389
1991,5813:354:4,-134.5,-85.5,0,0,0.0116161
1992,5813:354:3,-134,-85.5,0,0,0.0117282
1993,5811:350:3,-110,-85.5,0,0,0.013678
1994,5810:459:4,-109.5,-85.5,0,0,0.0146717
1995,5810:459:3,-109,-85.5,0,0,0.0155562
1996,5810:458:4,-108.5,-85.5,0,0,0.015455
1997,5810:456:3,-106,-85.5,0,0,0.0110517
1998,5810:455:4,-105.5,-85.5,0,0,0.0109197
1999,5810:455:3,-105,-85.5,0,0,0.0108721
2000,5810:354:4,-104.5,-85.5,0,0,0.0109078
2001,5810:354:3,-104,-85.5,0,0,0.0113677
2002,5810:353:4,-103.5,-85.5,0,0,0.012233
2003,5810:353:3,-103,-85.5,0,0,0.0128372
2004,5810:352:4,-102.5,-85.5,0,0,0.0129807
2005,5806:351:4,-61.5,-85.5,0,0,0.0108768
2006,5806:351:3,-61,-85.5,0,0,0.0108626
2007,5806:350:4,-60.5,-85.5,0,0,0.010827
2008,5806:350:3,-60,-85.5,0,0,0.0108011
2009,5805:459:4,-59.5,-85.5,0,0,0.0107798
2010,5805:459:3,-59,-85.5,0,0,0.0107539
2011,5805:458:4,-58.5,-85.5,0,0,0.0107351
2012,5805:458:3,-58,-85.5,0,0,0.0107305
2013,5805:457:4,-57.5,-85.5,0,0,0.0107281
2014,5805:457:3,-57,-85.5,0,0,0.0107257
2015,5805:456:4,-56.5,-85.5,0,0,0.0107234
2016,5805:456:3,-56,-85.5,0,0,0.0107234
2017,5805:455:4,-55.5,-85.5,0,0,0.0107234
2018,5805:455:3,-55,-85.5,0,0,0.0107257
2019,5805:354:4,-54.5,-85.5,0,0,0.0107257
2020,5805:354:3,-54,-85.5,0,0,0.0107257
2021,5805:353:4,-53.5,-85.5,0,0,0.0107257
2022,5805:353:3,-53,-85.5,0,0,0.0107281
2023,5805:352:4,-52.5,-85.5,0,0,0.0107305
2024,5805:352:3,-52,-85.5,0,0,0.0107328
2025,5805:351:4,-51.5,-85.5,0,0,0.0107328
2026,5805:351:3,-51,-85.5,0,0,0.0107351
2027,5805:350:4,-50.5,-85.5,0,0,0.0107351
2028,5805:350:3,-50,-85.5,0,0,0.0107351
2029,5804:459:4,-49.5,-85.5,0,0,0.0107351
2030,5804:459:3,-49,-85.5,0,0,0.0107351
2031,5804:458:4,-48.5,-85.5,0,0,0.0107328
2032,5804:458:3,-48,-85.5,0,0,0.0107305
2033,5804:457:4,-47.5,-85.5,0,0,0.0107305
2034,5804:457:3,-47,-85.5,0,0,0.0107375
2035,5804:456:4,-46.5,-85.5,0,0,0.0107422
2036,5804:456:3,-46,-85.5,0,0,0.0107469
2037,5804:455:4,-45.5,-85.5,0,0,0.0107516
2038,5804:455:3,-45,-85.5,0,0,0.0107563
2039,5804:354:4,-44.5,-85.5,0,0,0.0107539
2040,5804:354:3,-44,-85.5,0,0,0.0107539
2041,5804:353:4,-43.5,-85.5,0,0,0.0107539
2042,5804:353:3,-43,-85.5,0,0,0.0107539
2043,5804:352:4,-42.5,-85.5,0,0,0.0107516
2044,5804:352:3,-42,-85.5,0,0,0.0107516
2045,5804:351:4,-41.5,-85.5,0,0,0.0107539
2046,5804:351:3,-41,-85.5,0,0,0.0107539
2047,5804:350:4,-40.5,-85.5,0,0,0.0107563
2048,5804:350:3,-40,-85.5,0,0,0.0107586
2049,5803:459:4,-39.5,-85.5,0,0,0.0107586
2050,5803:459:3,-39,-85.5,0,0,0.0107586
2051,5803:458:4,-38.5,-85.5,0,0,0.0107586
2052,5803:458:3,-38,-85.5,0,0,0.0107586
2053,5803:457:4,-37.5,-85.5,0,0,0.010761
2054,5803:457:3,-37,-85.5,0,0,0.0107586
2055,5803:456:4,-36.5,-85.5,0,0,0.0107586
2056,5803:456:3,-36,-85.5,0,0,0.0107586
2057,5803:455:4,-35.5,-85.5,0,0,0.0107586
2058,5803:455:3,-35,-85.5,0,0,0.010761
2059,5803:354:4,-34.5,-85.5,0,0,0.010761
2060,5803:354:3,-34,-85.5,0,0,0.0107586
2061,5803:353:4,-33.5,-85.5,0,0,0.0107586
2062,5803:353:3,-33,-85.5,0,0,0.0107586
2063,5803:352:4,-32.5,-85.5,0,0,0.010761
2064,5803:352:3,-32,-85.5,0,0,0.010761
2065,5803:351:4,-31.5,-85.5,0,0,0.010761
2066,5803:351:3,-31,-85.5,0,0,0.0107634
2067,5803:350:4,-30.5,-85.5,0,0,0.010761
2068,5803:350:3,-30,-85.5,0,0,0.0107634
2069,5802:459:4,-29.5,-85.5,0,0,0.0107657
2070,5802:459:3,-29,-85.5,0,0,0.0107634
2071,5802:458:4,-28.5,-85.5,0,0,0.010761
2072,5802:458:3,-28,-85.5,0,0,0.0107586
2073,5802:457:4,-27.5,-85.5,0,0,0.0107563
2074,5802:457:3,-27,-85.5,0,0,0.0107539
2075,5802:456:4,-26.5,-85.5,0,0,0.0108959
2076,5802:456:3,-26,-85.5,0,0,0.0111196
2077,5802:455:4,-25.5,-85.5,0,0,0.0110421
2078,5802:455:3,-25,-85.5,0,0,0.0109699
2079,5802:354:4,-24.5,-85.5,0,0,0.0114374
2080,5802:354:3,-24,-85.5,0,0,0.0120922
2081,3816:455:4,165.5,-85.5,0,0,0.010865
2082,3816:456:3,166,-85.5,0,0,0.0108294
2083,3816:456:4,166.5,-85.5,0,0,0.0107845
2084,3816:457:3,167,-85.5,0,0,0.010768
2085,3816:457:4,167.5,-85.5,0,0,0.0107563
2086,3816:458:3,168,-85.5,0,0,0.0107422
2087,3816:458:4,168.5,-85.5,0,0,0.0107257
2088,3816:459:3,169,-85.5,0,0,0.010714
2089,3816:459:4,169.5,-85.5,0,0,0.0107094
2090,3817:350:3,170,-85.5,0,0,0.0107117
2091,3817:350:4,170.5,-85.5,0,0,0.0107117
2092,3817:351:3,171,-85.5,0,0,0.010707
2093,3817:351:4,171.5,-85.5,0,0,0.0111976
2094,3817:352:3,172,-85.5,0,0,0.0127562
2095,3817:352:4,172.5,-85.5,0,0,0.0145699
2096,3817:353:3,173,-85.5,0,0,0.0154752
2097,3817:353:4,173.5,-85.5,0,0,0.0154517
2098,3817:354:3,174,-85.5,0,0,0.0153679
2099,3817:354:4,174.5,-85.5,0,0,0.0153144
2100,3817:455:3,175,-85.5,0,0,0.0152945
2101,3817:455:4,175.5,-85.5,0,0,0.0152082
2102,3817:456:3,176,-85.5,0,0,0.0148679
2103,3817:456:4,176.5,-85.5,0,0,0.0124023
2104,3817:457:3,177,-85.5,0,0,0.0108413
2105,3817:457:4,177.5,-85.5,0,0,0.010707
2106,3817:458:3,178,-85.5,0,0,0.0107094
2107,3817:458:4,178.5,-85.5,0,0,0.0107211
2108,3817:459:3,179,-85.5,0,0,0.0107305
2109,3817:459:4,179.5,-85.5,0,0,0.0107375
2110,3818:350:3,180,-85.5,0,0,0.0107445
2111,5818:350:1,-180,-85,0,0,0.0107445
2112,5817:459:2,-179.5,-85,0,0,0.0107516
2113,5817:459:1,-179,-85,0,0,0.0107539
2114,5817:458:2,-178.5,-85,0,0,0.0107516
2115,5817:458:1,-178,-85,0,0,0.0107539
2116,5817:457:2,-177.5,-85,0,0,0.0107563
2117,5817:457:1,-177,-85,0,0,0.010761
2118,5817:456:2,-176.5,-85,0,0,0.0107634
2119,5817:456:1,-176,-85,0,0,0.0107634
2120,5817:455:2,-175.5,-85,0,0,0.0107657
2121,5817:455:1,-175,-85,0,0,0.0107657
2122,5817:354:2,-174.5,-85,0,0,0.010768
2123,5817:354:1,-174,-85,0,0,0.0107704
2124,5817:353:2,-173.5,-85,0,0,0.0107704
2125,5817:353:1,-173,-85,0,0,0.0107728
2126,5817:352:2,-172.5,-85,0,0,0.0107728
2127,5817:352:1,-172,-85,0,0,0.0107751
2128,5817:351:2,-171.5,-85,0,0,0.0107751
2129,5817:351:1,-171,-85,0,0,0.0107751
2130,5817:350:2,-170.5,-85,0,0,0.0107775
2131,5817:350:1,-170,-85,0,0,0.0107775
2132,5816:459:2,-169.5,-85,0,0,0.0107798
2133,5816:459:1,-169,-85,0,0,0.0107798
2134,5816:458:2,-168.5,-85,0,0,0.0107798
2135,5816:458:1,-168,-85,0,0,0.0107822
2136,5816:457:2,-167.5,-85,0,0,0.0107822
2137,5816:457:1,-167,-85,0,0,0.0107845
2138,5816:456:2,-166.5,-85,0,0,0.0107845
2139,5816:456:1,-166,-85,0,0,0.0107822
2140,5816:455:2,-165.5,-85,0,0,0.0107822
2141,5816:455:1,-165,-85,0,0,0.0107822
2142,5816:354:2,-164.5,-85,0,0,0.0107822
2143,5816:354:1,-164,-85,0,0,0.0107822
2144,5816:353:2,-163.5,-85,0,0,0.0107822
2145,5816:353:1,-163,-85,0,0,0.0107845
2146,5816:352:2,-162.5,-85,0,0,0.0107845
2147,5816:352:1,-162,-85,0,0,0.0107845
2148,5816:351:2,-161.5,-85,0,0,0.0107845
2149,5816:351:1,-161,-85,0,0,0.0107869
2150,5816:350:2,-160.5,-85,0,0,0.0107892
2151,5816:350:1,-160,-85,0,0,0.0107916
2152,5815:459:2,-159.5,-85,0,0,0.010794
2153,5815:459:1,-159,-85,0,0,0.010794
2154,5815:458:2,-158.5,-85,0,0,0.0107963
2155,5815:458:1,-158,-85,0,0,0.0107987
2156,5815:457:2,-157.5,-85,0,0,0.0107987
2157,5815:457:1,-157,-85,0,0,0.0107963
2158,5815:456:2,-156.5,-85,0,0,0.0107963
2159,5815:456:1,-156,-85,0,0,0.0107987
2160,5815:455:2,-155.5,-85,0,0,0.0108011
2161,5815:455:1,-155,-85,0,0,0.0108011
2162,5815:354:2,-154.5,-85,0,0,0.0107963
2163,5815:354:1,-154,-85,0,0,0.0107963
2164,5815:353:2,-153.5,-85,0,0,0.0107987
2165,5815:353:1,-153,-85,0,0,0.0108011
2166,5815:352:2,-152.5,-85,0,0,0.0108011
2167,5815:352:1,-152,-85,0,0,0.0107987
2168,5815:351:2,-151.5,-85,0,0,0.010794
2169,5815:351:1,-151,-85,0,0,0.010794
2170,5815:350:2,-150.5,-85,0,0,0.010794
2171,5815:350:1,-150,-85,0,0,0.010794
2172,5814:459:2,-149.5,-85,0,0,0.010794
2173,5814:459:1,-149,-85,0,0,0.0107916
2174,5814:458:2,-148.5,-85,0,0,0.0107916
2175,5814:458:1,-148,-85,0,0,0.0107916
2176,5814:457:2,-147.5,-85,0,0,0.0107916
2177,5814:457:1,-147,-85,0,0,0.0107892
2178,5814:456:2,-146.5,-85,0,0,0.0107892
2179,5814:456:1,-146,-85,0,0,0.0107869
2180,5814:455:2,-145.5,-85,0,0,0.0107869
2181,5814:455:1,-145,-85,0,0,0.0107869
2182,5814:354:2,-144.5,-85,0,0,0.0107845
2183,5814:354:1,-144,-85,0,0,0.0107845
2184,5814:353:2,-143.5,-85,0,0,0.0107845
2185,5814:353:1,-143,-85,0,0,0.0107869
2186,5814:352:2,-142.5,-85,0,0,0.0107869
2187,5814:352:1,-142,-85,0,0,0.0107845
2188,5814:351:2,-141.5,-85,0,0,0.0107822
2189,5814:351:1,-141,-85,0,0,0.0107845
2190,5814:350:2,-140.5,-85,0,0,0.0107845
2191,5814:350:1,-140,-85,0,0,0.0107869
2192,5813:459:2,-139.5,-85,0,0,0.0107869
2193,5813:459:1,-139,-85,0,0,0.0107869
2194,5813:458:2,-138.5,-85,0,0,0.0107869
2195,5813:458:1,-138,-85,0,0,0.0107892
2196,5813:457:2,-137.5,-85,0,0,0.0108011
2197,5813:457:1,-137,-85,0,0,0.0108365
2198,5813:456:2,-136.5,-85,0,0,0.0108911
2199,5813:456:1,-136,-85,0,0,0.011018
2200,5813:455:2,-135.5,-85,0,0,0.0114874
2201,5813:455:1,-135,-85,0,0,0.0116389
2202,5813:354:2,-134.5,-85,0,0,0.0116161
2203,5813:354:1,-134,-85,0,0,0.0117282
2204,5811:350:1,-110,-85,0,0,0.013678
2205,5810:459:2,-109.5,-85,0,0,0.0146717
2206,5810:459:1,-109,-85,0,0,0.0155562
2207,5810:458:2,-108.5,-85,0,0,0.015455
2208,5810:456:1,-106,-85,0,0,0.0110517
2209,5810:455:2,-105.5,-85,0,0,0.0109197
2210,5810:455:1,-105,-85,0,0,0.0108721
2211,5810:354:2,-104.5,-85,0,0,0.0109078
2212,5810:354:1,-104,-85,0,0,0.0113677
2213,5810:353:2,-103.5,-85,0,0,0.012233
2214,5810:353:1,-103,-85,0,0,0.0128372
2215,5810:352:2,-102.5,-85,0,0,0.0129807
2216,5806:351:2,-61.5,-85,0,0,0.0108768
2217,5806:351:1,-61,-85,0,0,0.0108626
2218,5806:350:2,-60.5,-85,0,0,0.010827
2219,5806:350:1,-60,-85,0,0,0.0108011
2220,5805:459:2,-59.5,-85,0,0,0.0107798
2221,5805:459:1,-59,-85,0,0,0.0107539
2222,5805:458:2,-58.5,-85,0,0,0.0107351
2223,5805:458:1,-58,-85,0,0,0.0107305
2224,5805:457:2,-57.5,-85,0,0,0.0107281
2225,5805:457:1,-57,-85,0,0,0.0107257
2226,5805:456:2,-56.5,-85,0,0,0.0107234
2227,5805:456:1,-56,-85,0,0,0.0107234
2228,5805:455:2,-55.5,-85,0,0,0.0107234
2229,5805:455:1,-55,-85,0,0,0.0107257
2230,5805:354:2,-54.5,-85,0,0,0.0107257
2231,5805:354:1,-54,-85,0,0,0.0107257
2232,5805:353:2,-53.5,-85,0,0,0.0107257
2233,5805:353:1,-53,-85,0,0,0.0107281
2234,5805:352:2,-52.5,-85,0,0,0.0107305
2235,5805:352:1,-52,-85,0,0,0.0107328
2236,5805:351:2,-51.5,-85,0,0,0.0107328
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2241,5804:459:1,-49,-85,0,0,0.0107351
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2243,5804:458:1,-48,-85,0,0,0.0107305
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2246,5804:456:2,-46.5,-85,0,0,0.0107422
2247,5804:456:1,-46,-85,0,0,0.0107469
2248,5804:455:2,-45.5,-85,0,0,0.0107516
2249,5804:455:1,-45,-85,0,0,0.0107563
2250,5804:354:2,-44.5,-85,0,0,0.0107539
2251,5804:354:1,-44,-85,0,0,0.0107539
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2257,5804:351:1,-41,-85,0,0,0.0107539
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19803,5502:392:3,-22,-59.5,0,0,0.0107281
19804,5502:391:4,-21.5,-59.5,0,0,0.0107257
19805,5502:391:3,-21,-59.5,0,0,0.0107257
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19838,5500:394:4,-4.5,-59.5,0,0,0.0107024
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19840,5500:393:4,-3.5,-59.5,0,0,0.0107024
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19843,5500:392:3,-2,-59.5,0,0,0.0107047
19844,5500:391:4,-1.5,-59.5,0,0,0.0107047
19845,5500:391:3,-1,-59.5,0,0,0.010707
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19847,3500:390:4,0,-59.5,0,0,0.010707
19848,3500:390:4,0.5,-59.5,0,0,0.010707
19849,3500:391:3,1,-59.5,0,0,0.0107047
19850,3500:391:4,1.5,-59.5,0,0,0.0107024
19851,3500:392:3,2,-59.5,0,0,0.0107024
19852,3500:392:4,2.5,-59.5,0,0,0.0107024
19853,3500:393:3,3,-59.5,0,0,0.0107047
19854,3500:393:4,3.5,-59.5,0,0,0.0107047
19855,3500:394:3,4,-59.5,0,0,0.0107047
19856,3500:394:4,4.5,-59.5,0,0,0.010707
19857,3500:495:3,5,-59.5,0,0,0.0107094
19858,3500:495:4,5.5,-59.5,0,0,0.0107094
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19860,3500:496:4,6.5,-59.5,0,0,0.0107094
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19863,3500:498:3,8,-59.5,0,0,0.010707
19864,3500:498:4,8.5,-59.5,0,0,0.0107047
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19866,3500:499:4,9.5,-59.5,0,0,0.0107047
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19873,3501:393:3,13,-59.5,0,0,0.0107047
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19876,3501:394:4,14.5,-59.5,0,0,0.010707
19877,3501:495:3,15,-59.5,0,0,0.0107047
19878,3501:495:4,15.5,-59.5,0,0,0.0107
19879,3501:496:3,16,-59.5,0,0,0.0107024
19880,3501:496:4,16.5,-59.5,0,0,0.0107047
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19888,3502:390:4,20.5,-59.5,0,0,0.010693
19889,3502:391:3,21,-59.5,0,0,0.010693
19890,3502:391:4,21.5,-59.5,0,0,0.0106907
19891,3502:392:3,22,-59.5,0,0,0.0106907
19892,3502:392:4,22.5,-59.5,0,0,0.0106907
19893,3502:393:3,23,-59.5,0,0,0.010693
19894,3502:393:4,23.5,-59.5,0,0,0.010693
19895,3502:394:3,24,-59.5,0,0,0.0106953
19896,3502:394:4,24.5,-59.5,0,0,0.0106953
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19898,3502:495:4,25.5,-59.5,0,0,0.0107
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19900,3502:496:4,26.5,-59.5,0,0,0.0107024
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19903,3502:498:3,28,-59.5,0,0,0.0107047
19904,3502:498:4,28.5,-59.5,0,0,0.010707
19905,3502:499:3,29,-59.5,0,0,0.0107094
19906,3502:499:4,29.5,-59.5,0,0,0.0107094
19907,3503:390:3,30,-59.5,0,0,0.0107024
19908,3503:390:4,30.5,-59.5,0,0,0.0106953
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19912,3503:392:4,32.5,-59.5,0,0,0.0107234
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19916,3503:394:4,34.5,-59.5,0,0,0.0107399
19917,3503:495:3,35,-59.5,0,0,0.0107351
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19952,3505:392:4,52.5,-59.5,0,0,0.0107845
19953,3505:393:3,53,-59.5,0,0,0.0107845
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19993,3507:393:4,73.5,-59.5,0,0,0.0107328
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20002,3507:498:3,78,-59.5,0,0,0.0107351
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151121,7917:209:2,-179.5,90,0,0,0.0107516
151122,7917:209:1,-179,90,0,0,0.0107539
151123,7917:208:2,-178.5,90,0,0,0.0107516
151124,7917:208:1,-178,90,0,0,0.0107539
151125,7917:207:2,-177.5,90,0,0,0.0107563
151126,7917:207:1,-177,90,0,0,0.010761
151127,7917:206:2,-176.5,90,0,0,0.0107634
151128,7917:206:1,-176,90,0,0,0.0107634
151129,7917:205:2,-175.5,90,0,0,0.0107657
151130,7917:205:1,-175,90,0,0,0.0107657
151131,7917:104:2,-174.5,90,0,0,0.010768
151132,7917:104:1,-174,90,0,0,0.0107704
151133,7917:103:2,-173.5,90,0,0,0.0107704
151134,7917:103:1,-173,90,0,0,0.0107728
151135,7917:102:2,-172.5,90,0,0,0.0107728
151136,7917:102:1,-172,90,0,0,0.0107751
151137,7917:101:2,-171.5,90,0,0,0.0107751
151138,7917:101:1,-171,90,0,0,0.0107751
151139,7917:100:2,-170.5,90,0,0,0.0107775
151140,7917:100:1,-170,90,0,0,0.0107775
151141,7916:209:2,-169.5,90,0,0,0.0107798
151142,7916:209:1,-169,90,0,0,0.0107798
151143,7916:208:2,-168.5,90,0,0,0.0107798
151144,7916:208:1,-168,90,0,0,0.0107822
151145,7916:207:2,-167.5,90,0,0,0.0107822
151146,7916:207:1,-167,90,0,0,0.0107845
151147,7916:206:2,-166.5,90,0,0,0.0107845
151148,7916:206:1,-166,90,0,0,0.0107822
151149,7916:205:2,-165.5,90,0,0,0.0107822
151150,7916:205:1,-165,90,0,0,0.0107822
151151,7916:104:2,-164.5,90,0,0,0.0107822
151152,7916:104:1,-164,90,0,0,0.0107822
151153,7916:103:2,-163.5,90,0,0,0.0107822
151154,7916:103:1,-163,90,0,0,0.0107845
151155,7916:102:2,-162.5,90,0,0,0.0107845
151156,7916:102:1,-162,90,0,0,0.0107845
151157,7916:101:2,-161.5,90,0,0,0.0107845
151158,7916:101:1,-161,90,0,0,0.0107869
151159,7916:100:2,-160.5,90,0,0,0.0107892
151160,7916:100:1,-160,90,0,0,0.0107916
151161,7915:209:2,-159.5,90,0,0,0.010794
151162,7915:209:1,-159,90,0,0,0.010794
151163,7915:208:2,-158.5,90,0,0,0.0107963
151164,7915:208:1,-158,90,0,0,0.0107987
151165,7915:207:2,-157.5,90,0,0,0.0107987
151166,7915:207:1,-157,90,0,0,0.0107963
151167,7915:206:2,-156.5,90,0,0,0.0107963
151168,7915:206:1,-156,90,0,0,0.0107987
151169,7915:205:2,-155.5,90,0,0,0.0108011
151170,7915:205:1,-155,90,0,0,0.0108011
151171,7915:104:2,-154.5,90,0,0,0.0107963
151172,7915:104:1,-154,90,0,0,0.0107963
151173,7915:103:2,-153.5,90,0,0,0.0107987
151174,7915:103:1,-153,90,0,0,0.0108011
151175,7915:102:2,-152.5,90,0,0,0.0108011
151176,7915:102:1,-152,90,0,0,0.0107987
151177,7915:101:2,-151.5,90,0,0,0.010794
151178,7915:101:1,-151,90,0,0,0.010794
151179,7915:100:2,-150.5,90,0,0,0.010794
151180,7915:100:1,-150,90,0,0,0.010794
151181,7914:209:2,-149.5,90,0,0,0.010794
151182,7914:209:1,-149,90,0,0,0.0107916
151183,7914:208:2,-148.5,90,0,0,0.0107916
151184,7914:208:1,-148,90,0,0,0.0107916
151185,7914:207:2,-147.5,90,0,0,0.0107916
151186,7914:207:1,-147,90,0,0,0.0107892
151187,7914:206:2,-146.5,90,0,0,0.0107892
151188,7914:206:1,-146,90,0,0,0.0107869
151189,7914:205:2,-145.5,90,0,0,0.0107869
151190,7914:205:1,-145,90,0,0,0.0107869
151191,7914:104:2,-144.5,90,0,0,0.0107845
151192,7914:104:1,-144,90,0,0,0.0107845
151193,7914:103:2,-143.5,90,0,0,0.0107845
151194,7914:103:1,-143,90,0,0,0.0107869
151195,7914:102:2,-142.5,90,0,0,0.0107869
151196,7914:102:1,-142,90,0,0,0.0107845
151197,7914:101:2,-141.5,90,0,0,0.0107822
151198,7914:101:1,-141,90,0,0,0.0107845
151199,7914:100:2,-140.5,90,0,0,0.0107845
151200,7914:100:1,-140,90,0,0,0.0107869
151201,7913:209:2,-139.5,90,0,0,0.0107869
151202,7913:209:1,-139,90,0,0,0.0107869
151203,7913:208:2,-138.5,90,0,0,0.0107869
151204,7913:208:1,-138,90,0,0,0.0107892
151205,7913:207:2,-137.5,90,0,0,0.0108011
151206,7913:207:1,-137,90,0,0,0.0108365
151207,7913:206:2,-136.5,90,0,0,0.0108911
151208,7913:206:1,-136,90,0,0,0.011018
151209,7913:205:2,-135.5,90,0,0,0.0114874
151210,7913:205:1,-135,90,0,0,0.0116389
151211,7913:104:2,-134.5,90,0,0,0.0116161
151212,7913:104:1,-134,90,0,0,0.0117282
151213,7911:100:1,-110,90,0,0,0.013678
151214,7910:209:2,-109.5,90,0,0,0.0146717
151215,7910:209:1,-109,90,0,0,0.0155562
151216,7910:208:2,-108.5,90,0,0,0.015455
151217,7910:206:1,-106,90,0,0,0.0110517
151218,7910:205:2,-105.5,90,0,0,0.0109197
151219,7910:205:1,-105,90,0,0,0.0108721
151220,7910:104:2,-104.5,90,0,0,0.0109078
151221,7910:104:1,-104,90,0,0,0.0113677
151222,7910:103:2,-103.5,90,0,0,0.012233
151223,7910:103:1,-103,90,0,0,0.0128372
151224,7910:102:2,-102.5,90,0,0,0.0129807
151225,7906:101:2,-61.5,90,0,0,0.0108768
151226,7906:101:1,-61,90,0,0,0.0108626
151227,7906:100:2,-60.5,90,0,0,0.010827
151228,7906:100:1,-60,90,0,0,0.0108011
151229,7905:209:2,-59.5,90,0,0,0.0107798
151230,7905:209:1,-59,90,0,0,0.0107539
151231,7905:208:2,-58.5,90,0,0,0.0107351
151232,7905:208:1,-58,90,0,0,0.0107305
151233,7905:207:2,-57.5,90,0,0,0.0107281
151234,7905:207:1,-57,90,0,0,0.0107257
151235,7905:206:2,-56.5,90,0,0,0.0107234
151236,7905:206:1,-56,90,0,0,0.0107234
151237,7905:205:2,-55.5,90,0,0,0.0107234
151238,7905:205:1,-55,90,0,0,0.0107257
151239,7905:104:2,-54.5,90,0,0,0.0107257
151240,7905:104:1,-54,90,0,0,0.0107257
151241,7905:103:2,-53.5,90,0,0,0.0107257
151242,7905:103:1,-53,90,0,0,0.0107281
151243,7905:102:2,-52.5,90,0,0,0.0107305
151244,7905:102:1,-52,90,0,0,0.0107328
151245,7905:101:2,-51.5,90,0,0,0.0107328
151246,7905:101:1,-51,90,0,0,0.0107351
151247,7905:100:2,-50.5,90,0,0,0.0107351
151248,7905:100:1,-50,90,0,0,0.0107351
151249,7904:209:2,-49.5,90,0,0,0.0107351
151250,7904:209:1,-49,90,0,0,0.0107351
151251,7904:208:2,-48.5,90,0,0,0.0107328
151252,7904:208:1,-48,90,0,0,0.0107305
151253,7904:207:2,-47.5,90,0,0,0.0107305
151254,7904:207:1,-47,90,0,0,0.0107375
151255,7904:206:2,-46.5,90,0,0,0.0107422
151256,7904:206:1,-46,90,0,0,0.0107469
151257,7904:205:2,-45.5,90,0,0,0.0107516
151258,7904:205:1,-45,90,0,0,0.0107563
151259,7904:104:2,-44.5,90,0,0,0.0107539
151260,7904:104:1,-44,90,0,0,0.0107539
151261,7904:103:2,-43.5,90,0,0,0.0107539
151262,7904:103:1,-43,90,0,0,0.0107539
151263,7904:102:2,-42.5,90,0,0,0.0107516
151264,7904:102:1,-42,90,0,0,0.0107516
151265,7904:101:2,-41.5,90,0,0,0.0107539
151266,7904:101:1,-41,90,0,0,0.0107539
151267,7904:100:2,-40.5,90,0,0,0.0107563
151268,7904:100:1,-40,90,0,0,0.0107586
151269,7903:209:2,-39.5,90,0,0,0.0107586
151270,7903:209:1,-39,90,0,0,0.0107586
151271,7903:208:2,-38.5,90,0,0,0.0107586
151272,7903:208:1,-38,90,0,0,0.0107586
151273,7903:207:2,-37.5,90,0,0,0.010761
151274,7903:207:1,-37,90,0,0,0.0107586
151275,7903:206:2,-36.5,90,0,0,0.0107586
151276,7903:206:1,-36,90,0,0,0.0107586
151277,7903:205:2,-35.5,90,0,0,0.0107586
151278,7903:205:1,-35,90,0,0,0.010761
151279,7903:104:2,-34.5,90,0,0,0.010761
151280,7903:104:1,-34,90,0,0,0.0107586
151281,7903:103:2,-33.5,90,0,0,0.0107586
151282,7903:103:1,-33,90,0,0,0.0107586
151283,7903:102:2,-32.5,90,0,0,0.010761
151284,7903:102:1,-32,90,0,0,0.010761
151285,7903:101:2,-31.5,90,0,0,0.010761
151286,7903:101:1,-31,90,0,0,0.0107634
151287,7903:100:2,-30.5,90,0,0,0.010761
151288,7903:100:1,-30,90,0,0,0.0107634
151289,7902:209:2,-29.5,90,0,0,0.0107657
151290,7902:209:1,-29,90,0,0,0.0107634
151291,7902:208:2,-28.5,90,0,0,0.010761
151292,7902:208:1,-28,90,0,0,0.0107586
151293,7902:207:2,-27.5,90,0,0,0.0107563
151294,7902:207:1,-27,90,0,0,0.0107539
151295,7902:206:2,-26.5,90,0,0,0.0108959
151296,7902:206:1,-26,90,0,0,0.0111196
151297,7902:205:2,-25.5,90,0,0,0.0110421
151298,7902:205:1,-25,90,0,0,0.0109699
151299,7902:104:2,-24.5,90,0,0,0.0114374
151300,7902:104:1,-24,90,0,0,0.0120922
151301,1916:205:2,165.5,90,0,0,0.010865
151302,1916:206:1,166,90,0,0,0.0108294
151303,1916:206:2,166.5,90,0,0,0.0107845
151304,1916:207:1,167,90,0,0,0.010768
151305,1916:207:2,167.5,90,0,0,0.0107563
151306,1916:208:1,168,90,0,0,0.0107422
151307,1916:208:2,168.5,90,0,0,0.0107257
151308,1916:209:1,169,90,0,0,0.010714
151309,1916:209:2,169.5,90,0,0,0.0107094
151310,1917:100:1,170,90,0,0,0.0107117
151311,1917:100:2,170.5,90,0,0,0.0107117
151312,1917:101:1,171,90,0,0,0.010707
151313,1917:101:2,171.5,90,0,0,0.0111976
151314,1917:102:1,172,90,0,0,0.0127562
151315,1917:102:2,172.5,90,0,0,0.0145699
151316,1917:103:1,173,90,0,0,0.0154752
151317,1917:103:2,173.5,90,0,0,0.0154517
151318,1917:104:1,174,90,0,0,0.0153679
151319,1917:104:2,174.5,90,0,0,0.0153144
151320,1917:205:1,175,90,0,0,0.0152945
151321,1917:205:2,175.5,90,0,0,0.0152082
151322,1917:206:1,176,90,0,0,0.0148679
151323,1917:206:2,176.5,90,0,0,0.0124023
151324,1917:207:1,177,90,0,0,0.0108413
151325,1917:207:2,177.5,90,0,0,0.010707
151326,1917:208:1,178,90,0,0,0.0107094
151327,1917:208:2,178.5,90,0,0,0.0107211
151328,1917:209:1,179,90,0,0,0.0107305
151329,1917:209:2,179.5,90,0,0,0.0107375
151330,1918:100:1,180,90,0,0,0.0107445
non_deterministic_output
NonDeterministicOutput
http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0
The warnings from the underlying MaxEnt model
text/csv
http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0
ASCII Maps of the environmental layers for checking features aligments
text/csv
http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0
World Thumbnail
image/png
http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0
ROC Curve
image/png
http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0
Omission-Commission Curve
image/png
http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0
Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/csv
2016-04-26 11:05:01 DEBUG SClient4WPS:858 - WPS SUCCESS
2016-04-26 11:05:01 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=100.0, status=COMPLETE, endDate=null, message=null, errResource=null]
2016-04-26 11:05:01 DEBUG Log:91 - getResourceByComputationId: ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df]
2016-04-26 11:05:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:05:01 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-26 11:05:01 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:Best Threshold
2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:Best threshold for transforming MaxEnt values into 0/1 probability assignments
2016-04-26 11:05:01 DEBUG WPS2SM:324 - Literal Output
2016-04-26 11:05:01 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:05:01 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:05:01 DEBUG WPS2SM:101 - Guessed default value:
2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=null, name=Best Threshold, description=Best threshold for transforming MaxEnt values into 0/1 probability assignments, typology=OBJECT]
2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:Estimated Prevalence
2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:The a posteriori estimated prevalence of the species
2016-04-26 11:05:01 DEBUG WPS2SM:324 - Literal Output
2016-04-26 11:05:01 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:05:01 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:05:01 DEBUG WPS2SM:101 - Guessed default value:
2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=null, name=Estimated Prevalence, description=The a posteriori estimated prevalence of the species, typology=OBJECT]
2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:Variables contributions
2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:The contribution of each variable to the MaxEnt values estimates
2016-04-26 11:05:01 DEBUG WPS2SM:324 - Literal Output
2016-04-26 11:05:01 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:05:01 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:05:01 DEBUG WPS2SM:101 - Guessed default value:
2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=null, name=Variables contributions, description=The contribution of each variable to the MaxEnt values estimates, typology=OBJECT]
2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:Variables Permutations Importance
2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:The importance of the permutations of the variables during the training
2016-04-26 11:05:01 DEBUG WPS2SM:324 - Literal Output
2016-04-26 11:05:01 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:05:01 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:05:01 DEBUG WPS2SM:101 - Guessed default value:
2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=null, name=Variables Permutations Importance, description=The importance of the permutations of the variables during the training, typology=OBJECT]
2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:ASCII Maps of the environmental layers for checking features aligments
2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:ASCII Maps of the environmental layers for checking features aligments
2016-04-26 11:05:01 DEBUG WPS2SM:331 - Complex Output
2016-04-26 11:05:01 DEBUG WPS2SM:200 - MimeType: application/d4science
2016-04-26 11:05:01 DEBUG WPS2SM:201 - Schema: null
2016-04-26 11:05:01 DEBUG WPS2SM:202 - Encoding: null
2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: FileParameter [mimeType=application/d4science, value=null, name=ASCII Maps of the environmental layers for checking features aligments, description=ASCII Maps of the environmental layers for checking features aligments, typology=FILE]
2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:OutputTable7
2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-26 11:05:01 DEBUG WPS2SM:331 - Complex Output
2016-04-26 11:05:01 DEBUG WPS2SM:200 - MimeType: text/csv
2016-04-26 11:05:01 DEBUG WPS2SM:201 - Schema: null
2016-04-26 11:05:01 DEBUG WPS2SM:202 - Encoding: null
2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: TabularParameter [tableName= , templates=[], name=OutputTable7, description=Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding], typology=TABULAR]
2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:non_deterministic_output
2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:NonDeterministicOutput
2016-04-26 11:05:01 DEBUG WPS2SM:331 - Complex Output
2016-04-26 11:05:01 DEBUG WPS2SM:200 - MimeType: text/xml; subtype=gml/2.1.2
2016-04-26 11:05:01 DEBUG WPS2SM:201 - Schema: http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-26 11:05:01 DEBUG WPS2SM:202 - Encoding: null
2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: FileParameter [mimeType=text/xml; subtype=gml/2.1.2, value=null, name=non_deterministic_output, description=NonDeterministicOutput, typology=FILE]
2016-04-26 11:05:01 DEBUG SClient4WPS:419 - RetrieveProcessResult: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:05:01 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df
2016-04-26 11:05:01 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:05:01 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:05:01 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:05:02 DEBUG SClient4WPS:430 - Response:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
Process successful
ASCII Maps of the environmental layers for checking features aligments
ASCII Maps of the environmental layers for checking features aligments
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OutputTable7
Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
id,csquarecode,x,y,z,time,fvalue
1,5918:100:1,-180,-90,0,0,0.0107445
2,5917:209:2,-179.5,-90,0,0,0.0107516
3,5917:209:1,-179,-90,0,0,0.0107539
4,5917:208:2,-178.5,-90,0,0,0.0107516
5,5917:208:1,-178,-90,0,0,0.0107539
6,5917:207:2,-177.5,-90,0,0,0.0107563
7,5917:207:1,-177,-90,0,0,0.010761
8,5917:206:2,-176.5,-90,0,0,0.0107634
9,5917:206:1,-176,-90,0,0,0.0107634
10,5917:205:2,-175.5,-90,0,0,0.0107657
11,5917:205:1,-175,-90,0,0,0.0107657
12,5917:104:2,-174.5,-90,0,0,0.010768
13,5917:104:1,-174,-90,0,0,0.0107704
14,5917:103:2,-173.5,-90,0,0,0.0107704
15,5917:103:1,-173,-90,0,0,0.0107728
16,5917:102:2,-172.5,-90,0,0,0.0107728
17,5917:102:1,-172,-90,0,0,0.0107751
18,5917:101:2,-171.5,-90,0,0,0.0107751
19,5917:101:1,-171,-90,0,0,0.0107751
20,5917:100:2,-170.5,-90,0,0,0.0107775
21,5917:100:1,-170,-90,0,0,0.0107775
22,5916:209:2,-169.5,-90,0,0,0.0107798
23,5916:209:1,-169,-90,0,0,0.0107798
24,5916:208:2,-168.5,-90,0,0,0.0107798
25,5916:208:1,-168,-90,0,0,0.0107822
26,5916:207:2,-167.5,-90,0,0,0.0107822
27,5916:207:1,-167,-90,0,0,0.0107845
28,5916:206:2,-166.5,-90,0,0,0.0107845
29,5916:206:1,-166,-90,0,0,0.0107822
30,5916:205:2,-165.5,-90,0,0,0.0107822
31,5916:205:1,-165,-90,0,0,0.0107822
32,5916:104:2,-164.5,-90,0,0,0.0107822
33,5916:104:1,-164,-90,0,0,0.0107822
34,5916:103:2,-163.5,-90,0,0,0.0107822
35,5916:103:1,-163,-90,0,0,0.0107845
36,5916:102:2,-162.5,-90,0,0,0.0107845
37,5916:102:1,-162,-90,0,0,0.0107845
38,5916:101:2,-161.5,-90,0,0,0.0107845
39,5916:101:1,-161,-90,0,0,0.0107869
40,5916:100:2,-160.5,-90,0,0,0.0107892
41,5916:100:1,-160,-90,0,0,0.0107916
42,5915:209:2,-159.5,-90,0,0,0.010794
43,5915:209:1,-159,-90,0,0,0.010794
44,5915:208:2,-158.5,-90,0,0,0.0107963
45,5915:208:1,-158,-90,0,0,0.0107987
46,5915:207:2,-157.5,-90,0,0,0.0107987
47,5915:207:1,-157,-90,0,0,0.0107963
48,5915:206:2,-156.5,-90,0,0,0.0107963
49,5915:206:1,-156,-90,0,0,0.0107987
50,5915:205:2,-155.5,-90,0,0,0.0108011
51,5915:205:1,-155,-90,0,0,0.0108011
52,5915:104:2,-154.5,-90,0,0,0.0107963
53,5915:104:1,-154,-90,0,0,0.0107963
54,5915:103:2,-153.5,-90,0,0,0.0107987
55,5915:103:1,-153,-90,0,0,0.0108011
56,5915:102:2,-152.5,-90,0,0,0.0108011
57,5915:102:1,-152,-90,0,0,0.0107987
58,5915:101:2,-151.5,-90,0,0,0.010794
59,5915:101:1,-151,-90,0,0,0.010794
60,5915:100:2,-150.5,-90,0,0,0.010794
61,5915:100:1,-150,-90,0,0,0.010794
62,5914:209:2,-149.5,-90,0,0,0.010794
63,5914:209:1,-149,-90,0,0,0.0107916
64,5914:208:2,-148.5,-90,0,0,0.0107916
65,5914:208:1,-148,-90,0,0,0.0107916
66,5914:207:2,-147.5,-90,0,0,0.0107916
67,5914:207:1,-147,-90,0,0,0.0107892
68,5914:206:2,-146.5,-90,0,0,0.0107892
69,5914:206:1,-146,-90,0,0,0.0107869
70,5914:205:2,-145.5,-90,0,0,0.0107869
71,5914:205:1,-145,-90,0,0,0.0107869
72,5914:104:2,-144.5,-90,0,0,0.0107845
73,5914:104:1,-144,-90,0,0,0.0107845
74,5914:103:2,-143.5,-90,0,0,0.0107845
75,5914:103:1,-143,-90,0,0,0.0107869
76,5914:102:2,-142.5,-90,0,0,0.0107869
77,5914:102:1,-142,-90,0,0,0.0107845
78,5914:101:2,-141.5,-90,0,0,0.0107822
79,5914:101:1,-141,-90,0,0,0.0107845
80,5914:100:2,-140.5,-90,0,0,0.0107845
81,5914:100:1,-140,-90,0,0,0.0107869
82,5913:209:2,-139.5,-90,0,0,0.0107869
83,5913:209:1,-139,-90,0,0,0.0107869
84,5913:208:2,-138.5,-90,0,0,0.0107869
85,5913:208:1,-138,-90,0,0,0.0107892
86,5913:207:2,-137.5,-90,0,0,0.0108011
87,5913:207:1,-137,-90,0,0,0.0108365
88,5913:206:2,-136.5,-90,0,0,0.0108911
89,5913:206:1,-136,-90,0,0,0.011018
90,5913:205:2,-135.5,-90,0,0,0.0114874
91,5913:205:1,-135,-90,0,0,0.0116389
92,5913:104:2,-134.5,-90,0,0,0.0116161
93,5913:104:1,-134,-90,0,0,0.0117282
94,5911:100:1,-110,-90,0,0,0.013678
95,5910:209:2,-109.5,-90,0,0,0.0146717
96,5910:209:1,-109,-90,0,0,0.0155562
97,5910:208:2,-108.5,-90,0,0,0.015455
98,5910:206:1,-106,-90,0,0,0.0110517
99,5910:205:2,-105.5,-90,0,0,0.0109197
100,5910:205:1,-105,-90,0,0,0.0108721
101,5910:104:2,-104.5,-90,0,0,0.0109078
102,5910:104:1,-104,-90,0,0,0.0113677
103,5910:103:2,-103.5,-90,0,0,0.012233
104,5910:103:1,-103,-90,0,0,0.0128372
105,5910:102:2,-102.5,-90,0,0,0.0129807
106,5906:101:2,-61.5,-90,0,0,0.0108768
107,5906:101:1,-61,-90,0,0,0.0108626
108,5906:100:2,-60.5,-90,0,0,0.010827
109,5906:100:1,-60,-90,0,0,0.0108011
110,5905:209:2,-59.5,-90,0,0,0.0107798
111,5905:209:1,-59,-90,0,0,0.0107539
112,5905:208:2,-58.5,-90,0,0,0.0107351
113,5905:208:1,-58,-90,0,0,0.0107305
114,5905:207:2,-57.5,-90,0,0,0.0107281
115,5905:207:1,-57,-90,0,0,0.0107257
116,5905:206:2,-56.5,-90,0,0,0.0107234
117,5905:206:1,-56,-90,0,0,0.0107234
118,5905:205:2,-55.5,-90,0,0,0.0107234
119,5905:205:1,-55,-90,0,0,0.0107257
120,5905:104:2,-54.5,-90,0,0,0.0107257
121,5905:104:1,-54,-90,0,0,0.0107257
122,5905:103:2,-53.5,-90,0,0,0.0107257
123,5905:103:1,-53,-90,0,0,0.0107281
124,5905:102:2,-52.5,-90,0,0,0.0107305
125,5905:102:1,-52,-90,0,0,0.0107328
126,5905:101:2,-51.5,-90,0,0,0.0107328
127,5905:101:1,-51,-90,0,0,0.0107351
128,5905:100:2,-50.5,-90,0,0,0.0107351
129,5905:100:1,-50,-90,0,0,0.0107351
130,5904:209:2,-49.5,-90,0,0,0.0107351
131,5904:209:1,-49,-90,0,0,0.0107351
132,5904:208:2,-48.5,-90,0,0,0.0107328
133,5904:208:1,-48,-90,0,0,0.0107305
134,5904:207:2,-47.5,-90,0,0,0.0107305
135,5904:207:1,-47,-90,0,0,0.0107375
136,5904:206:2,-46.5,-90,0,0,0.0107422
137,5904:206:1,-46,-90,0,0,0.0107469
138,5904:205:2,-45.5,-90,0,0,0.0107516
139,5904:205:1,-45,-90,0,0,0.0107563
140,5904:104:2,-44.5,-90,0,0,0.0107539
141,5904:104:1,-44,-90,0,0,0.0107539
142,5904:103:2,-43.5,-90,0,0,0.0107539
143,5904:103:1,-43,-90,0,0,0.0107539
144,5904:102:2,-42.5,-90,0,0,0.0107516
145,5904:102:1,-42,-90,0,0,0.0107516
146,5904:101:2,-41.5,-90,0,0,0.0107539
147,5904:101:1,-41,-90,0,0,0.0107539
148,5904:100:2,-40.5,-90,0,0,0.0107563
149,5904:100:1,-40,-90,0,0,0.0107586
150,5903:209:2,-39.5,-90,0,0,0.0107586
151,5903:209:1,-39,-90,0,0,0.0107586
152,5903:208:2,-38.5,-90,0,0,0.0107586
153,5903:208:1,-38,-90,0,0,0.0107586
154,5903:207:2,-37.5,-90,0,0,0.010761
155,5903:207:1,-37,-90,0,0,0.0107586
156,5903:206:2,-36.5,-90,0,0,0.0107586
157,5903:206:1,-36,-90,0,0,0.0107586
158,5903:205:2,-35.5,-90,0,0,0.0107586
159,5903:205:1,-35,-90,0,0,0.010761
160,5903:104:2,-34.5,-90,0,0,0.010761
161,5903:104:1,-34,-90,0,0,0.0107586
162,5903:103:2,-33.5,-90,0,0,0.0107586
163,5903:103:1,-33,-90,0,0,0.0107586
164,5903:102:2,-32.5,-90,0,0,0.010761
165,5903:102:1,-32,-90,0,0,0.010761
166,5903:101:2,-31.5,-90,0,0,0.010761
167,5903:101:1,-31,-90,0,0,0.0107634
168,5903:100:2,-30.5,-90,0,0,0.010761
169,5903:100:1,-30,-90,0,0,0.0107634
170,5902:209:2,-29.5,-90,0,0,0.0107657
171,5902:209:1,-29,-90,0,0,0.0107634
172,5902:208:2,-28.5,-90,0,0,0.010761
173,5902:208:1,-28,-90,0,0,0.0107586
174,5902:207:2,-27.5,-90,0,0,0.0107563
175,5902:207:1,-27,-90,0,0,0.0107539
176,5902:206:2,-26.5,-90,0,0,0.0108959
177,5902:206:1,-26,-90,0,0,0.0111196
178,5902:205:2,-25.5,-90,0,0,0.0110421
179,5902:205:1,-25,-90,0,0,0.0109699
180,5902:104:2,-24.5,-90,0,0,0.0114374
181,5902:104:1,-24,-90,0,0,0.0120922
182,3916:205:2,165.5,-90,0,0,0.010865
183,3916:206:1,166,-90,0,0,0.0108294
184,3916:206:2,166.5,-90,0,0,0.0107845
185,3916:207:1,167,-90,0,0,0.010768
186,3916:207:2,167.5,-90,0,0,0.0107563
187,3916:208:1,168,-90,0,0,0.0107422
188,3916:208:2,168.5,-90,0,0,0.0107257
189,3916:209:1,169,-90,0,0,0.010714
190,3916:209:2,169.5,-90,0,0,0.0107094
191,3917:100:1,170,-90,0,0,0.0107117
192,3917:100:2,170.5,-90,0,0,0.0107117
193,3917:101:1,171,-90,0,0,0.010707
194,3917:101:2,171.5,-90,0,0,0.0111976
195,3917:102:1,172,-90,0,0,0.0127562
196,3917:102:2,172.5,-90,0,0,0.0145699
197,3917:103:1,173,-90,0,0,0.0154752
198,3917:103:2,173.5,-90,0,0,0.0154517
199,3917:104:1,174,-90,0,0,0.0153679
200,3917:104:2,174.5,-90,0,0,0.0153144
201,3917:205:1,175,-90,0,0,0.0152945
202,3917:205:2,175.5,-90,0,0,0.0152082
203,3917:206:1,176,-90,0,0,0.0148679
204,3917:206:2,176.5,-90,0,0,0.0124023
205,3917:207:1,177,-90,0,0,0.0108413
206,3917:207:2,177.5,-90,0,0,0.010707
207,3917:208:1,178,-90,0,0,0.0107094
208,3917:208:2,178.5,-90,0,0,0.0107211
209,3917:209:1,179,-90,0,0,0.0107305
210,3917:209:2,179.5,-90,0,0,0.0107375
211,3918:100:1,180,-90,0,0,0.0107445
212,5818:390:3,-180,-89.5,0,0,0.0107445
213,5817:499:4,-179.5,-89.5,0,0,0.0107516
214,5817:499:3,-179,-89.5,0,0,0.0107539
215,5817:498:4,-178.5,-89.5,0,0,0.0107516
216,5817:498:3,-178,-89.5,0,0,0.0107539
217,5817:497:4,-177.5,-89.5,0,0,0.0107563
218,5817:497:3,-177,-89.5,0,0,0.010761
219,5817:496:4,-176.5,-89.5,0,0,0.0107634
220,5817:496:3,-176,-89.5,0,0,0.0107634
221,5817:495:4,-175.5,-89.5,0,0,0.0107657
222,5817:495:3,-175,-89.5,0,0,0.0107657
223,5817:394:4,-174.5,-89.5,0,0,0.010768
224,5817:394:3,-174,-89.5,0,0,0.0107704
225,5817:393:4,-173.5,-89.5,0,0,0.0107704
226,5817:393:3,-173,-89.5,0,0,0.0107728
227,5817:392:4,-172.5,-89.5,0,0,0.0107728
228,5817:392:3,-172,-89.5,0,0,0.0107751
229,5817:391:4,-171.5,-89.5,0,0,0.0107751
230,5817:391:3,-171,-89.5,0,0,0.0107751
231,5817:390:4,-170.5,-89.5,0,0,0.0107775
232,5817:390:3,-170,-89.5,0,0,0.0107775
233,5816:499:4,-169.5,-89.5,0,0,0.0107798
234,5816:499:3,-169,-89.5,0,0,0.0107798
235,5816:498:4,-168.5,-89.5,0,0,0.0107798
236,5816:498:3,-168,-89.5,0,0,0.0107822
237,5816:497:4,-167.5,-89.5,0,0,0.0107822
238,5816:497:3,-167,-89.5,0,0,0.0107845
239,5816:496:4,-166.5,-89.5,0,0,0.0107845
240,5816:496:3,-166,-89.5,0,0,0.0107822
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1771,5813:469:1,-139,-86,0,0,0.0107869
1772,5813:468:2,-138.5,-86,0,0,0.0107869
1773,5813:468:1,-138,-86,0,0,0.0107892
1774,5813:467:2,-137.5,-86,0,0,0.0108011
1775,5813:467:1,-137,-86,0,0,0.0108365
1776,5813:466:2,-136.5,-86,0,0,0.0108911
1777,5813:466:1,-136,-86,0,0,0.011018
1778,5813:465:2,-135.5,-86,0,0,0.0114874
1779,5813:465:1,-135,-86,0,0,0.0116389
1780,5813:364:2,-134.5,-86,0,0,0.0116161
1781,5813:364:1,-134,-86,0,0,0.0117282
1782,5811:360:1,-110,-86,0,0,0.013678
1783,5810:469:2,-109.5,-86,0,0,0.0146717
1784,5810:469:1,-109,-86,0,0,0.0155562
1785,5810:468:2,-108.5,-86,0,0,0.015455
1786,5810:466:1,-106,-86,0,0,0.0110517
1787,5810:465:2,-105.5,-86,0,0,0.0109197
1788,5810:465:1,-105,-86,0,0,0.0108721
1789,5810:364:2,-104.5,-86,0,0,0.0109078
1790,5810:364:1,-104,-86,0,0,0.0113677
1791,5810:363:2,-103.5,-86,0,0,0.012233
1792,5810:363:1,-103,-86,0,0,0.0128372
1793,5810:362:2,-102.5,-86,0,0,0.0129807
1794,5806:361:2,-61.5,-86,0,0,0.0108768
1795,5806:361:1,-61,-86,0,0,0.0108626
1796,5806:360:2,-60.5,-86,0,0,0.010827
1797,5806:360:1,-60,-86,0,0,0.0108011
1798,5805:469:2,-59.5,-86,0,0,0.0107798
1799,5805:469:1,-59,-86,0,0,0.0107539
1800,5805:468:2,-58.5,-86,0,0,0.0107351
1801,5805:468:1,-58,-86,0,0,0.0107305
1802,5805:467:2,-57.5,-86,0,0,0.0107281
1803,5805:467:1,-57,-86,0,0,0.0107257
1804,5805:466:2,-56.5,-86,0,0,0.0107234
1805,5805:466:1,-56,-86,0,0,0.0107234
1806,5805:465:2,-55.5,-86,0,0,0.0107234
1807,5805:465:1,-55,-86,0,0,0.0107257
1808,5805:364:2,-54.5,-86,0,0,0.0107257
1809,5805:364:1,-54,-86,0,0,0.0107257
1810,5805:363:2,-53.5,-86,0,0,0.0107257
1811,5805:363:1,-53,-86,0,0,0.0107281
1812,5805:362:2,-52.5,-86,0,0,0.0107305
1813,5805:362:1,-52,-86,0,0,0.0107328
1814,5805:361:2,-51.5,-86,0,0,0.0107328
1815,5805:361:1,-51,-86,0,0,0.0107351
1816,5805:360:2,-50.5,-86,0,0,0.0107351
1817,5805:360:1,-50,-86,0,0,0.0107351
1818,5804:469:2,-49.5,-86,0,0,0.0107351
1819,5804:469:1,-49,-86,0,0,0.0107351
1820,5804:468:2,-48.5,-86,0,0,0.0107328
1821,5804:468:1,-48,-86,0,0,0.0107305
1822,5804:467:2,-47.5,-86,0,0,0.0107305
1823,5804:467:1,-47,-86,0,0,0.0107375
1824,5804:466:2,-46.5,-86,0,0,0.0107422
1825,5804:466:1,-46,-86,0,0,0.0107469
1826,5804:465:2,-45.5,-86,0,0,0.0107516
1827,5804:465:1,-45,-86,0,0,0.0107563
1828,5804:364:2,-44.5,-86,0,0,0.0107539
1829,5804:364:1,-44,-86,0,0,0.0107539
1830,5804:363:2,-43.5,-86,0,0,0.0107539
1831,5804:363:1,-43,-86,0,0,0.0107539
1832,5804:362:2,-42.5,-86,0,0,0.0107516
1833,5804:362:1,-42,-86,0,0,0.0107516
1834,5804:361:2,-41.5,-86,0,0,0.0107539
1835,5804:361:1,-41,-86,0,0,0.0107539
1836,5804:360:2,-40.5,-86,0,0,0.0107563
1837,5804:360:1,-40,-86,0,0,0.0107586
1838,5803:469:2,-39.5,-86,0,0,0.0107586
1839,5803:469:1,-39,-86,0,0,0.0107586
1840,5803:468:2,-38.5,-86,0,0,0.0107586
1841,5803:468:1,-38,-86,0,0,0.0107586
1842,5803:467:2,-37.5,-86,0,0,0.010761
1843,5803:467:1,-37,-86,0,0,0.0107586
1844,5803:466:2,-36.5,-86,0,0,0.0107586
1845,5803:466:1,-36,-86,0,0,0.0107586
1846,5803:465:2,-35.5,-86,0,0,0.0107586
1847,5803:465:1,-35,-86,0,0,0.010761
1848,5803:364:2,-34.5,-86,0,0,0.010761
1849,5803:364:1,-34,-86,0,0,0.0107586
1850,5803:363:2,-33.5,-86,0,0,0.0107586
1851,5803:363:1,-33,-86,0,0,0.0107586
1852,5803:362:2,-32.5,-86,0,0,0.010761
1853,5803:362:1,-32,-86,0,0,0.010761
1854,5803:361:2,-31.5,-86,0,0,0.010761
1855,5803:361:1,-31,-86,0,0,0.0107634
1856,5803:360:2,-30.5,-86,0,0,0.010761
1857,5803:360:1,-30,-86,0,0,0.0107634
1858,5802:469:2,-29.5,-86,0,0,0.0107657
1859,5802:469:1,-29,-86,0,0,0.0107634
1860,5802:468:2,-28.5,-86,0,0,0.010761
1861,5802:468:1,-28,-86,0,0,0.0107586
1862,5802:467:2,-27.5,-86,0,0,0.0107563
1863,5802:467:1,-27,-86,0,0,0.0107539
1864,5802:466:2,-26.5,-86,0,0,0.0108959
1865,5802:466:1,-26,-86,0,0,0.0111196
1866,5802:465:2,-25.5,-86,0,0,0.0110421
1867,5802:465:1,-25,-86,0,0,0.0109699
1868,5802:364:2,-24.5,-86,0,0,0.0114374
1869,5802:364:1,-24,-86,0,0,0.0120922
1870,3816:465:2,165.5,-86,0,0,0.010865
1871,3816:466:1,166,-86,0,0,0.0108294
1872,3816:466:2,166.5,-86,0,0,0.0107845
1873,3816:467:1,167,-86,0,0,0.010768
1874,3816:467:2,167.5,-86,0,0,0.0107563
1875,3816:468:1,168,-86,0,0,0.0107422
1876,3816:468:2,168.5,-86,0,0,0.0107257
1877,3816:469:1,169,-86,0,0,0.010714
1878,3816:469:2,169.5,-86,0,0,0.0107094
1879,3817:360:1,170,-86,0,0,0.0107117
1880,3817:360:2,170.5,-86,0,0,0.0107117
1881,3817:361:1,171,-86,0,0,0.010707
1882,3817:361:2,171.5,-86,0,0,0.0111976
1883,3817:362:1,172,-86,0,0,0.0127562
1884,3817:362:2,172.5,-86,0,0,0.0145699
1885,3817:363:1,173,-86,0,0,0.0154752
1886,3817:363:2,173.5,-86,0,0,0.0154517
1887,3817:364:1,174,-86,0,0,0.0153679
1888,3817:364:2,174.5,-86,0,0,0.0153144
1889,3817:465:1,175,-86,0,0,0.0152945
1890,3817:465:2,175.5,-86,0,0,0.0152082
1891,3817:466:1,176,-86,0,0,0.0148679
1892,3817:466:2,176.5,-86,0,0,0.0124023
1893,3817:467:1,177,-86,0,0,0.0108413
1894,3817:467:2,177.5,-86,0,0,0.010707
1895,3817:468:1,178,-86,0,0,0.0107094
1896,3817:468:2,178.5,-86,0,0,0.0107211
1897,3817:469:1,179,-86,0,0,0.0107305
1898,3817:469:2,179.5,-86,0,0,0.0107375
1899,3818:360:1,180,-86,0,0,0.0107445
1900,5818:350:3,-180,-85.5,0,0,0.0107445
1901,5817:459:4,-179.5,-85.5,0,0,0.0107516
1902,5817:459:3,-179,-85.5,0,0,0.0107539
1903,5817:458:4,-178.5,-85.5,0,0,0.0107516
1904,5817:458:3,-178,-85.5,0,0,0.0107539
1905,5817:457:4,-177.5,-85.5,0,0,0.0107563
1906,5817:457:3,-177,-85.5,0,0,0.010761
1907,5817:456:4,-176.5,-85.5,0,0,0.0107634
1908,5817:456:3,-176,-85.5,0,0,0.0107634
1909,5817:455:4,-175.5,-85.5,0,0,0.0107657
1910,5817:455:3,-175,-85.5,0,0,0.0107657
1911,5817:354:4,-174.5,-85.5,0,0,0.010768
1912,5817:354:3,-174,-85.5,0,0,0.0107704
1913,5817:353:4,-173.5,-85.5,0,0,0.0107704
1914,5817:353:3,-173,-85.5,0,0,0.0107728
1915,5817:352:4,-172.5,-85.5,0,0,0.0107728
1916,5817:352:3,-172,-85.5,0,0,0.0107751
1917,5817:351:4,-171.5,-85.5,0,0,0.0107751
1918,5817:351:3,-171,-85.5,0,0,0.0107751
1919,5817:350:4,-170.5,-85.5,0,0,0.0107775
1920,5817:350:3,-170,-85.5,0,0,0.0107775
1921,5816:459:4,-169.5,-85.5,0,0,0.0107798
1922,5816:459:3,-169,-85.5,0,0,0.0107798
1923,5816:458:4,-168.5,-85.5,0,0,0.0107798
1924,5816:458:3,-168,-85.5,0,0,0.0107822
1925,5816:457:4,-167.5,-85.5,0,0,0.0107822
1926,5816:457:3,-167,-85.5,0,0,0.0107845
1927,5816:456:4,-166.5,-85.5,0,0,0.0107845
1928,5816:456:3,-166,-85.5,0,0,0.0107822
1929,5816:455:4,-165.5,-85.5,0,0,0.0107822
1930,5816:455:3,-165,-85.5,0,0,0.0107822
1931,5816:354:4,-164.5,-85.5,0,0,0.0107822
1932,5816:354:3,-164,-85.5,0,0,0.0107822
1933,5816:353:4,-163.5,-85.5,0,0,0.0107822
1934,5816:353:3,-163,-85.5,0,0,0.0107845
1935,5816:352:4,-162.5,-85.5,0,0,0.0107845
1936,5816:352:3,-162,-85.5,0,0,0.0107845
1937,5816:351:4,-161.5,-85.5,0,0,0.0107845
1938,5816:351:3,-161,-85.5,0,0,0.0107869
1939,5816:350:4,-160.5,-85.5,0,0,0.0107892
1940,5816:350:3,-160,-85.5,0,0,0.0107916
1941,5815:459:4,-159.5,-85.5,0,0,0.010794
1942,5815:459:3,-159,-85.5,0,0,0.010794
1943,5815:458:4,-158.5,-85.5,0,0,0.0107963
1944,5815:458:3,-158,-85.5,0,0,0.0107987
1945,5815:457:4,-157.5,-85.5,0,0,0.0107987
1946,5815:457:3,-157,-85.5,0,0,0.0107963
1947,5815:456:4,-156.5,-85.5,0,0,0.0107963
1948,5815:456:3,-156,-85.5,0,0,0.0107987
1949,5815:455:4,-155.5,-85.5,0,0,0.0108011
1950,5815:455:3,-155,-85.5,0,0,0.0108011
1951,5815:354:4,-154.5,-85.5,0,0,0.0107963
1952,5815:354:3,-154,-85.5,0,0,0.0107963
1953,5815:353:4,-153.5,-85.5,0,0,0.0107987
1954,5815:353:3,-153,-85.5,0,0,0.0108011
1955,5815:352:4,-152.5,-85.5,0,0,0.0108011
1956,5815:352:3,-152,-85.5,0,0,0.0107987
1957,5815:351:4,-151.5,-85.5,0,0,0.010794
1958,5815:351:3,-151,-85.5,0,0,0.010794
1959,5815:350:4,-150.5,-85.5,0,0,0.010794
1960,5815:350:3,-150,-85.5,0,0,0.010794
1961,5814:459:4,-149.5,-85.5,0,0,0.010794
1962,5814:459:3,-149,-85.5,0,0,0.0107916
1963,5814:458:4,-148.5,-85.5,0,0,0.0107916
1964,5814:458:3,-148,-85.5,0,0,0.0107916
1965,5814:457:4,-147.5,-85.5,0,0,0.0107916
1966,5814:457:3,-147,-85.5,0,0,0.0107892
1967,5814:456:4,-146.5,-85.5,0,0,0.0107892
1968,5814:456:3,-146,-85.5,0,0,0.0107869
1969,5814:455:4,-145.5,-85.5,0,0,0.0107869
1970,5814:455:3,-145,-85.5,0,0,0.0107869
1971,5814:354:4,-144.5,-85.5,0,0,0.0107845
1972,5814:354:3,-144,-85.5,0,0,0.0107845
1973,5814:353:4,-143.5,-85.5,0,0,0.0107845
1974,5814:353:3,-143,-85.5,0,0,0.0107869
1975,5814:352:4,-142.5,-85.5,0,0,0.0107869
1976,5814:352:3,-142,-85.5,0,0,0.0107845
1977,5814:351:4,-141.5,-85.5,0,0,0.0107822
1978,5814:351:3,-141,-85.5,0,0,0.0107845
1979,5814:350:4,-140.5,-85.5,0,0,0.0107845
1980,5814:350:3,-140,-85.5,0,0,0.0107869
1981,5813:459:4,-139.5,-85.5,0,0,0.0107869
1982,5813:459:3,-139,-85.5,0,0,0.0107869
1983,5813:458:4,-138.5,-85.5,0,0,0.0107869
1984,5813:458:3,-138,-85.5,0,0,0.0107892
1985,5813:457:4,-137.5,-85.5,0,0,0.0108011
1986,5813:457:3,-137,-85.5,0,0,0.0108365
1987,5813:456:4,-136.5,-85.5,0,0,0.0108911
1988,5813:456:3,-136,-85.5,0,0,0.011018
1989,5813:455:4,-135.5,-85.5,0,0,0.0114874
1990,5813:455:3,-135,-85.5,0,0,0.0116389
1991,5813:354:4,-134.5,-85.5,0,0,0.0116161
1992,5813:354:3,-134,-85.5,0,0,0.0117282
1993,5811:350:3,-110,-85.5,0,0,0.013678
1994,5810:459:4,-109.5,-85.5,0,0,0.0146717
1995,5810:459:3,-109,-85.5,0,0,0.0155562
1996,5810:458:4,-108.5,-85.5,0,0,0.015455
1997,5810:456:3,-106,-85.5,0,0,0.0110517
1998,5810:455:4,-105.5,-85.5,0,0,0.0109197
1999,5810:455:3,-105,-85.5,0,0,0.0108721
2000,5810:354:4,-104.5,-85.5,0,0,0.0109078
2001,5810:354:3,-104,-85.5,0,0,0.0113677
2002,5810:353:4,-103.5,-85.5,0,0,0.012233
2003,5810:353:3,-103,-85.5,0,0,0.0128372
2004,5810:352:4,-102.5,-85.5,0,0,0.0129807
2005,5806:351:4,-61.5,-85.5,0,0,0.0108768
2006,5806:351:3,-61,-85.5,0,0,0.0108626
2007,5806:350:4,-60.5,-85.5,0,0,0.010827
2008,5806:350:3,-60,-85.5,0,0,0.0108011
2009,5805:459:4,-59.5,-85.5,0,0,0.0107798
2010,5805:459:3,-59,-85.5,0,0,0.0107539
2011,5805:458:4,-58.5,-85.5,0,0,0.0107351
2012,5805:458:3,-58,-85.5,0,0,0.0107305
2013,5805:457:4,-57.5,-85.5,0,0,0.0107281
2014,5805:457:3,-57,-85.5,0,0,0.0107257
2015,5805:456:4,-56.5,-85.5,0,0,0.0107234
2016,5805:456:3,-56,-85.5,0,0,0.0107234
2017,5805:455:4,-55.5,-85.5,0,0,0.0107234
2018,5805:455:3,-55,-85.5,0,0,0.0107257
2019,5805:354:4,-54.5,-85.5,0,0,0.0107257
2020,5805:354:3,-54,-85.5,0,0,0.0107257
2021,5805:353:4,-53.5,-85.5,0,0,0.0107257
2022,5805:353:3,-53,-85.5,0,0,0.0107281
2023,5805:352:4,-52.5,-85.5,0,0,0.0107305
2024,5805:352:3,-52,-85.5,0,0,0.0107328
2025,5805:351:4,-51.5,-85.5,0,0,0.0107328
2026,5805:351:3,-51,-85.5,0,0,0.0107351
2027,5805:350:4,-50.5,-85.5,0,0,0.0107351
2028,5805:350:3,-50,-85.5,0,0,0.0107351
2029,5804:459:4,-49.5,-85.5,0,0,0.0107351
2030,5804:459:3,-49,-85.5,0,0,0.0107351
2031,5804:458:4,-48.5,-85.5,0,0,0.0107328
2032,5804:458:3,-48,-85.5,0,0,0.0107305
2033,5804:457:4,-47.5,-85.5,0,0,0.0107305
2034,5804:457:3,-47,-85.5,0,0,0.0107375
2035,5804:456:4,-46.5,-85.5,0,0,0.0107422
2036,5804:456:3,-46,-85.5,0,0,0.0107469
2037,5804:455:4,-45.5,-85.5,0,0,0.0107516
2038,5804:455:3,-45,-85.5,0,0,0.0107563
2039,5804:354:4,-44.5,-85.5,0,0,0.0107539
2040,5804:354:3,-44,-85.5,0,0,0.0107539
2041,5804:353:4,-43.5,-85.5,0,0,0.0107539
2042,5804:353:3,-43,-85.5,0,0,0.0107539
2043,5804:352:4,-42.5,-85.5,0,0,0.0107516
2044,5804:352:3,-42,-85.5,0,0,0.0107516
2045,5804:351:4,-41.5,-85.5,0,0,0.0107539
2046,5804:351:3,-41,-85.5,0,0,0.0107539
2047,5804:350:4,-40.5,-85.5,0,0,0.0107563
2048,5804:350:3,-40,-85.5,0,0,0.0107586
2049,5803:459:4,-39.5,-85.5,0,0,0.0107586
2050,5803:459:3,-39,-85.5,0,0,0.0107586
2051,5803:458:4,-38.5,-85.5,0,0,0.0107586
2052,5803:458:3,-38,-85.5,0,0,0.0107586
2053,5803:457:4,-37.5,-85.5,0,0,0.010761
2054,5803:457:3,-37,-85.5,0,0,0.0107586
2055,5803:456:4,-36.5,-85.5,0,0,0.0107586
2056,5803:456:3,-36,-85.5,0,0,0.0107586
2057,5803:455:4,-35.5,-85.5,0,0,0.0107586
2058,5803:455:3,-35,-85.5,0,0,0.010761
2059,5803:354:4,-34.5,-85.5,0,0,0.010761
2060,5803:354:3,-34,-85.5,0,0,0.0107586
2061,5803:353:4,-33.5,-85.5,0,0,0.0107586
2062,5803:353:3,-33,-85.5,0,0,0.0107586
2063,5803:352:4,-32.5,-85.5,0,0,0.010761
2064,5803:352:3,-32,-85.5,0,0,0.010761
2065,5803:351:4,-31.5,-85.5,0,0,0.010761
2066,5803:351:3,-31,-85.5,0,0,0.0107634
2067,5803:350:4,-30.5,-85.5,0,0,0.010761
2068,5803:350:3,-30,-85.5,0,0,0.0107634
2069,5802:459:4,-29.5,-85.5,0,0,0.0107657
2070,5802:459:3,-29,-85.5,0,0,0.0107634
2071,5802:458:4,-28.5,-85.5,0,0,0.010761
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19854,3500:393:4,3.5,-59.5,0,0,0.0107047
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19900,3502:496:4,26.5,-59.5,0,0,0.0107024
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19904,3502:498:4,28.5,-59.5,0,0,0.010707
19905,3502:499:3,29,-59.5,0,0,0.0107094
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19908,3503:390:4,30.5,-59.5,0,0,0.0106953
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19912,3503:392:4,32.5,-59.5,0,0,0.0107234
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151213,7911:100:1,-110,90,0,0,0.013678
151214,7910:209:2,-109.5,90,0,0,0.0146717
151215,7910:209:1,-109,90,0,0,0.0155562
151216,7910:208:2,-108.5,90,0,0,0.015455
151217,7910:206:1,-106,90,0,0,0.0110517
151218,7910:205:2,-105.5,90,0,0,0.0109197
151219,7910:205:1,-105,90,0,0,0.0108721
151220,7910:104:2,-104.5,90,0,0,0.0109078
151221,7910:104:1,-104,90,0,0,0.0113677
151222,7910:103:2,-103.5,90,0,0,0.012233
151223,7910:103:1,-103,90,0,0,0.0128372
151224,7910:102:2,-102.5,90,0,0,0.0129807
151225,7906:101:2,-61.5,90,0,0,0.0108768
151226,7906:101:1,-61,90,0,0,0.0108626
151227,7906:100:2,-60.5,90,0,0,0.010827
151228,7906:100:1,-60,90,0,0,0.0108011
151229,7905:209:2,-59.5,90,0,0,0.0107798
151230,7905:209:1,-59,90,0,0,0.0107539
151231,7905:208:2,-58.5,90,0,0,0.0107351
151232,7905:208:1,-58,90,0,0,0.0107305
151233,7905:207:2,-57.5,90,0,0,0.0107281
151234,7905:207:1,-57,90,0,0,0.0107257
151235,7905:206:2,-56.5,90,0,0,0.0107234
151236,7905:206:1,-56,90,0,0,0.0107234
151237,7905:205:2,-55.5,90,0,0,0.0107234
151238,7905:205:1,-55,90,0,0,0.0107257
151239,7905:104:2,-54.5,90,0,0,0.0107257
151240,7905:104:1,-54,90,0,0,0.0107257
151241,7905:103:2,-53.5,90,0,0,0.0107257
151242,7905:103:1,-53,90,0,0,0.0107281
151243,7905:102:2,-52.5,90,0,0,0.0107305
151244,7905:102:1,-52,90,0,0,0.0107328
151245,7905:101:2,-51.5,90,0,0,0.0107328
151246,7905:101:1,-51,90,0,0,0.0107351
151247,7905:100:2,-50.5,90,0,0,0.0107351
151248,7905:100:1,-50,90,0,0,0.0107351
151249,7904:209:2,-49.5,90,0,0,0.0107351
151250,7904:209:1,-49,90,0,0,0.0107351
151251,7904:208:2,-48.5,90,0,0,0.0107328
151252,7904:208:1,-48,90,0,0,0.0107305
151253,7904:207:2,-47.5,90,0,0,0.0107305
151254,7904:207:1,-47,90,0,0,0.0107375
151255,7904:206:2,-46.5,90,0,0,0.0107422
151256,7904:206:1,-46,90,0,0,0.0107469
151257,7904:205:2,-45.5,90,0,0,0.0107516
151258,7904:205:1,-45,90,0,0,0.0107563
151259,7904:104:2,-44.5,90,0,0,0.0107539
151260,7904:104:1,-44,90,0,0,0.0107539
151261,7904:103:2,-43.5,90,0,0,0.0107539
151262,7904:103:1,-43,90,0,0,0.0107539
151263,7904:102:2,-42.5,90,0,0,0.0107516
151264,7904:102:1,-42,90,0,0,0.0107516
151265,7904:101:2,-41.5,90,0,0,0.0107539
151266,7904:101:1,-41,90,0,0,0.0107539
151267,7904:100:2,-40.5,90,0,0,0.0107563
151268,7904:100:1,-40,90,0,0,0.0107586
151269,7903:209:2,-39.5,90,0,0,0.0107586
151270,7903:209:1,-39,90,0,0,0.0107586
151271,7903:208:2,-38.5,90,0,0,0.0107586
151272,7903:208:1,-38,90,0,0,0.0107586
151273,7903:207:2,-37.5,90,0,0,0.010761
151274,7903:207:1,-37,90,0,0,0.0107586
151275,7903:206:2,-36.5,90,0,0,0.0107586
151276,7903:206:1,-36,90,0,0,0.0107586
151277,7903:205:2,-35.5,90,0,0,0.0107586
151278,7903:205:1,-35,90,0,0,0.010761
151279,7903:104:2,-34.5,90,0,0,0.010761
151280,7903:104:1,-34,90,0,0,0.0107586
151281,7903:103:2,-33.5,90,0,0,0.0107586
151282,7903:103:1,-33,90,0,0,0.0107586
151283,7903:102:2,-32.5,90,0,0,0.010761
151284,7903:102:1,-32,90,0,0,0.010761
151285,7903:101:2,-31.5,90,0,0,0.010761
151286,7903:101:1,-31,90,0,0,0.0107634
151287,7903:100:2,-30.5,90,0,0,0.010761
151288,7903:100:1,-30,90,0,0,0.0107634
151289,7902:209:2,-29.5,90,0,0,0.0107657
151290,7902:209:1,-29,90,0,0,0.0107634
151291,7902:208:2,-28.5,90,0,0,0.010761
151292,7902:208:1,-28,90,0,0,0.0107586
151293,7902:207:2,-27.5,90,0,0,0.0107563
151294,7902:207:1,-27,90,0,0,0.0107539
151295,7902:206:2,-26.5,90,0,0,0.0108959
151296,7902:206:1,-26,90,0,0,0.0111196
151297,7902:205:2,-25.5,90,0,0,0.0110421
151298,7902:205:1,-25,90,0,0,0.0109699
151299,7902:104:2,-24.5,90,0,0,0.0114374
151300,7902:104:1,-24,90,0,0,0.0120922
151301,1916:205:2,165.5,90,0,0,0.010865
151302,1916:206:1,166,90,0,0,0.0108294
151303,1916:206:2,166.5,90,0,0,0.0107845
151304,1916:207:1,167,90,0,0,0.010768
151305,1916:207:2,167.5,90,0,0,0.0107563
151306,1916:208:1,168,90,0,0,0.0107422
151307,1916:208:2,168.5,90,0,0,0.0107257
151308,1916:209:1,169,90,0,0,0.010714
151309,1916:209:2,169.5,90,0,0,0.0107094
151310,1917:100:1,170,90,0,0,0.0107117
151311,1917:100:2,170.5,90,0,0,0.0107117
151312,1917:101:1,171,90,0,0,0.010707
151313,1917:101:2,171.5,90,0,0,0.0111976
151314,1917:102:1,172,90,0,0,0.0127562
151315,1917:102:2,172.5,90,0,0,0.0145699
151316,1917:103:1,173,90,0,0,0.0154752
151317,1917:103:2,173.5,90,0,0,0.0154517
151318,1917:104:1,174,90,0,0,0.0153679
151319,1917:104:2,174.5,90,0,0,0.0153144
151320,1917:205:1,175,90,0,0,0.0152945
151321,1917:205:2,175.5,90,0,0,0.0152082
151322,1917:206:1,176,90,0,0,0.0148679
151323,1917:206:2,176.5,90,0,0,0.0124023
151324,1917:207:1,177,90,0,0,0.0108413
151325,1917:207:2,177.5,90,0,0,0.010707
151326,1917:208:1,178,90,0,0,0.0107094
151327,1917:208:2,178.5,90,0,0,0.0107211
151328,1917:209:1,179,90,0,0,0.0107305
151329,1917:209:2,179.5,90,0,0,0.0107375
151330,1918:100:1,180,90,0,0,0.0107445
non_deterministic_output
NonDeterministicOutput
http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0
The warnings from the underlying MaxEnt model
text/csv
http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0
ASCII Maps of the environmental layers for checking features aligments
text/csv
http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0
World Thumbnail
image/png
http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0
ROC Curve
image/png
http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0
Omission-Commission Curve
image/png
http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0
Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/csv
2016-04-26 11:05:07 DEBUG SClient4WPS:946 - Process Executed
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: #text
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: #text
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:FeatureCollection
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: gml:featureMember
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:The warnings from the underlying MaxEnt model
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:text/csv
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:ASCII Maps of the environmental layers for checking features aligments
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:text/csv
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:World Thumbnail
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:image/png
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:ROC Curve
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:image/png
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:Omission-Commission Curve
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:image/png
2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:text/csv
2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F0-->ResponseWPS [data=http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0, description=The warnings from the underlying MaxEnt model, mimeType=text/csv]
2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F1-->ResponseWPS [data=http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0, description=ASCII Maps of the environmental layers for checking features aligments, mimeType=text/csv]
2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F2-->ResponseWPS [data=http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0, description=World Thumbnail, mimeType=image/png]
2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F3-->ResponseWPS [data=http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0, description=ROC Curve, mimeType=image/png]
2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F4-->ResponseWPS [data=http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0, description=Omission-Commission Curve, mimeType=image/png]
2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F5-->ResponseWPS [data=http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0, description=Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding], mimeType=text/csv]
2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F0
2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0, name=F0, description=The warnings from the underlying MaxEnt model, typology=OBJECT]
2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F1
2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0, name=F1, description=ASCII Maps of the environmental layers for checking features aligments, typology=OBJECT]
2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F2
2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0, name=F2, description=World Thumbnail, typology=OBJECT]
2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F3
2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0, name=F3, description=ROC Curve, typology=OBJECT]
2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F4
2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0, name=F4, description=Omission-Commission Curve, typology=OBJECT]
2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F5
2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0, name=F5, description=Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding], typology=OBJECT]
2016-04-26 11:05:07 DEBUG Log:91 - Resoure: MapResource [map={F0=FileResource [url=http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0, mimeType=text/csv, getResourceId()=F0, getName()=The warnings from the underlying MaxEnt model, getDescription()=The warnings from the underlying MaxEnt model, getResourceType()=FILE], F1=FileResource [url=http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0, mimeType=text/csv, getResourceId()=F1, getName()=ASCII Maps of the environmental layers for checking features aligments, getDescription()=ASCII Maps of the environmental layers for checking features aligments, getResourceType()=FILE], F2=ImagesResource [link=http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0, mimeType=image/png, getResourceId()=F2, getName()=World Thumbnail, getDescription()=World Thumbnail, getResourceType()=IMAGES], F3=ImagesResource [link=http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0, mimeType=image/png, getResourceId()=F3, getName()=ROC Curve, getDescription()=ROC Curve, getResourceType()=IMAGES], F4=ImagesResource [link=http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0, mimeType=image/png, getResourceId()=F4, getName()=Omission-Commission Curve, getDescription()=Omission-Commission Curve, getResourceType()=IMAGES], F5=FileResource [url=http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0, mimeType=text/csv, getResourceId()=F5, getName()=Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding], getDescription()=Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding], getResourceType()=FILE]}, getResourceId()=mapResource, getName()=Resources, getDescription()=Resources, getResourceType()=MAP]
2016-04-26 11:05:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:05:20 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 11:06:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:06:15 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:07:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:07:10 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:08:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:08:05 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:09:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:09:00 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:09:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:09:55 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:10:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:10:50 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:11:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:11:45 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:12:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:12:40 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:13:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:13:35 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:14:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:14:30 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:15:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:15:25 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:16:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:16:20 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:17:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:17:15 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:18:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:18:11 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:19:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:19:05 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-26 11:20:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:20:00 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-26 11:20:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:20:55 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:21:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:21:50 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:22:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:22:45 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-26 11:23:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:23:40 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:24:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:24:35 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:25:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:25:30 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:26:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:26:25 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:27:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31
2016-04-26 11:27:20 DEBUG ASLSession:458 - Getting security token: null in thread 31
2016-04-26 11:28:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:28:15 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:29:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:29:02 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:29:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:29:02 DEBUG DataMinerManagerServiceImpl:149 - StartComputation(): [computationTitle=Max Ent Niche Modelling-2016-04-26 11:01, computationDescription=Max Ent Niche Modelling-2016-04-26 11:01, operator=Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=maxent_, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT], ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=Latimeria, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=1000, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=-1.0, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT], TabularParameter [tableName=http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0, templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN], Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN], ObjectParameter [type=java.lang.Double, defaultValue=1, value=0.5, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=1, value=0.5, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ListParameter [type=java.lang.String, value=fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST], ObjectParameter [type=java.lang.Double, defaultValue=0, value=0.0, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=0, value=0, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]], hasImage=false]]
2016-04-26 11:29:02 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 11:29:02 INFO StatWPSClientSession:84 - CONNECT
2016-04-26 11:29:02 DEBUG SClient4WPS:285 -
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt
OutputTableLabel
The name of the table to produce
Name of the parameter: OutputTableLabel. The name of the table to produce
maxent_
SpeciesName
The name of the species to model and the occurrence records refer to
Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to
generic_species
MaxIterations
The number of learning iterations of the MaxEnt algorithm
Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm
1000
DefaultPrevalence
A priori probability of presence at ordinary occurrence points
Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points
0.5
OccurrencesTable
A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
text/xml
text/xml
text/csv
text/plain
LongitudeColumn
The column containing longitude values [the name of a column from OccurrencesTable]
Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable]
decimallongitude
LatitudeColumn
The column containing latitude values [the name of a column from OccurrencesTable]
Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable]
decimallatitude
XResolution
Model projection resolution on the X axis in decimal degrees
Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees
1
YResolution
Model projection resolution on the Y axis in decimal degrees
Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees
1
Layers
The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
Z
Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
0
TimeIndex
Time Index. The default is the first time indexed in the input environmental datasets
Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets
0
2016-04-26 11:29:02 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
OutputTableLabel
The name of the table to produce
Name of the parameter: OutputTableLabel. The name of the table to produce
maxent_
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
SpeciesName
The name of the species to model and the occurrence records refer to
Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to
generic_species
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
MaxIterations
The number of learning iterations of the MaxEnt algorithm
Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm
1000
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
DefaultPrevalence
A priori probability of presence at ordinary occurrence points
Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points
0.5
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
OccurrencesTable
A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
text/xml
text/xml
text/csv
text/plain
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
LongitudeColumn
The column containing longitude values [the name of a column from OccurrencesTable]
Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable]
decimallongitude
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
LatitudeColumn
The column containing latitude values [the name of a column from OccurrencesTable]
Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable]
decimallatitude
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
XResolution
Model projection resolution on the X axis in decimal degrees
Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees
1
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
YResolution
Model projection resolution on the Y axis in decimal degrees
Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees
1
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
Layers
The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
Z
Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
0
2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input:
TimeIndex
Time Index. The default is the first time indexed in the input environmental datasets
Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets
0
2016-04-26 11:29:02 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs
2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output:
Best Threshold
Best threshold for transforming MaxEnt values into 0/1 probability assignments
Name of the parameter: Best Threshold. Best threshold for transforming MaxEnt values into 0/1 probability assignments
2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output:
Estimated Prevalence
The a posteriori estimated prevalence of the species
Name of the parameter: Estimated Prevalence. The a posteriori estimated prevalence of the species
2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output:
Variables contributions
The contribution of each variable to the MaxEnt values estimates
Name of the parameter: Variables contributions. The contribution of each variable to the MaxEnt values estimates
2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output:
Variables Permutations Importance
The importance of the permutations of the variables during the training
Name of the parameter: Variables Permutations Importance. The importance of the permutations of the variables during the training
2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output:
ASCII Maps of the environmental layers for checking features aligments
ASCII Maps of the environmental layers for checking features aligments
Name of the parameter: ASCII Maps of the environmental layers for checking features aligments. ASCII Maps of the environmental layers for checking features aligments
application/d4science
application/d4science
2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output:
OutputTable7
Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
Name of the parameter: OutputTable7. Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/csv
text/csv
2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output:
non_deterministic_output
NonDeterministicOutput
Output that is not predetermined
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
text/xml; subtype=gml/2.1.2
http://schemas.opengis.net/gml/2.1.2/feature.xsd
2016-04-26 11:29:02 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->OutputTableLabel is a Literal Input
2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: maxent_
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the table to produce
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OutputTableLabel
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=null, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT]
2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->SpeciesName is a Literal Input
2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: generic_species
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the species to model and the occurrence records refer to
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SpeciesName
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=null, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT]
2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->MaxIterations is a Literal Input
2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 1000
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of learning iterations of the MaxEnt algorithm
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:MaxIterations
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=null, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT]
2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->DefaultPrevalence is a Literal Input
2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 0.5
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A priori probability of presence at ordinary occurrence points
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:DefaultPrevalence
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT]
2016-04-26 11:29:02 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencesTable is a Complex Input
2016-04-26 11:29:02 DEBUG WPS2SM:285 - Max Megabytes: 1
2016-04-26 11:29:02 DEBUG WPS2SM:200 - MimeType: text/xml
2016-04-26 11:29:02 DEBUG WPS2SM:201 - Schema: null
2016-04-26 11:29:02 DEBUG WPS2SM:202 - Encoding: null
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5]
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencesTable
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR]
2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->LongitudeColumn is a Literal Input
2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: decimallongitude
2016-04-26 11:29:02 DEBUG WPS2SM:130 - Machter title: The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude]
2016-04-26 11:29:02 DEBUG WPS2SM:131 - Machter find: true
2016-04-26 11:29:02 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable
2016-04-26 11:29:02 DEBUG WPS2SM:133 - Machter start: 40
2016-04-26 11:29:02 DEBUG WPS2SM:134 - Machter end: 82
2016-04-26 11:29:02 DEBUG WPS2SM:135 - Machter Group Count: 1
2016-04-26 11:29:02 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing longitude values [the name of a column from OccurrencesTable]
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LongitudeColumn
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN]
2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->LatitudeColumn is a Literal Input
2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: decimallatitude
2016-04-26 11:29:02 DEBUG WPS2SM:130 - Machter title: The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude]
2016-04-26 11:29:02 DEBUG WPS2SM:131 - Machter find: true
2016-04-26 11:29:02 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable
2016-04-26 11:29:02 DEBUG WPS2SM:133 - Machter start: 39
2016-04-26 11:29:02 DEBUG WPS2SM:134 - Machter end: 81
2016-04-26 11:29:02 DEBUG WPS2SM:135 - Machter Group Count: 1
2016-04-26 11:29:02 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing latitude values [the name of a column from OccurrencesTable]
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LatitudeColumn
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN]
2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->XResolution is a Literal Input
2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the X axis in decimal degrees
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:XResolution
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->YResolution is a Literal Input
2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 1
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the Y axis in decimal degrees
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:YResolution
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]
2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->Layers is a Literal Input
2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String
2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value:
2016-04-26 11:29:02 DEBUG WPS2SM:147 - Machter title: The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1]
2016-04-26 11:29:02 DEBUG WPS2SM:148 - Machter find: true
2016-04-26 11:29:02 DEBUG WPS2SM:149 - Machter group: a sequence of values separated by |
2016-04-26 11:29:02 DEBUG WPS2SM:150 - Machter start: 501
2016-04-26 11:29:02 DEBUG WPS2SM:151 - Machter end: 536
2016-04-26 11:29:02 DEBUG WPS2SM:152 - Machter Group Count: 1
2016-04-26 11:29:02 DEBUG WPS2SM:155 - Matcher separator: |
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String)
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Layers
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ListParameter [type=java.lang.String, value=null, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST]
2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->Z is a Literal Input
2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Double
2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 0
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Z
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0, value=null, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]
2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->TimeIndex is a Literal Input
2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type:
2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer
2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 0
2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Time Index. The default is the first time indexed in the input environmental datasets
2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:TimeIndex
2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1
2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:OutputTableLabel, value=maxent_
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:SpeciesName, value=Latimeria
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:MaxIterations, value=1000
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:DefaultPrevalence, value=-1.0
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencesTable, value=http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:LongitudeColumn, value=decimalLongitude
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:LatitudeColumn, value=decimalLatitude
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:XResolution, value=0.5
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:YResolution, value=0.5
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:Layers, value=fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:Z, value=0.0
2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:TimeIndex, value=0
2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: OutputTableLabel to: maxent_
2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: SpeciesName to: Latimeria
2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: MaxIterations to: 1000
2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: DefaultPrevalence to: -1.0
2016-04-26 11:29:02 DEBUG SClient4WPS:748 - Configuring Complex: OccurrencesTable to: http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0
2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: LongitudeColumn to: decimalLongitude
2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: LatitudeColumn to: decimalLatitude
2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: XResolution to: 0.5
2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: YResolution to: 0.5
2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: Layers to: fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31
2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: Z to: 0.0
2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: TimeIndex to: 0
2016-04-26 11:29:02 INFO StatWPSClientSession:84 - CONNECT
2016-04-26 11:29:03 DEBUG SClient4WPS:380 - Sending:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
OutputTableLabel
maxent_
SpeciesName
Latimeria
MaxIterations
1000
DefaultPrevalence
-1.0
OccurrencesTable
LongitudeColumn
decimalLongitude
LatitudeColumn
decimalLatitude
XResolution
0.5
YResolution
0.5
Layers
fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31
Z
0.0
TimeIndex
0
2016-04-26 11:29:03 DEBUG StatWPSClientSession:420 - RetrieveDataViaPost(): http://dataminer1-d-d4s.d4science.org:80/wps/WebProcessingService?
2016-04-26 11:29:03 DEBUG SClient4WPS:399 - Retrieved ProcessLocation: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429
2016-04-26 11:29:03 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService
2016-04-26 11:29:03 DEBUG SClient4WPS:768 - Starting Process: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429
2016-04-26 11:29:03 DEBUG SClient4WPS:695 - Stated Computation ProcessLocation:http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429
2016-04-26 11:29:03 DEBUG SClient4WPS:706 - ComputationId: ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429]
2016-04-26 11:29:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:29:10 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:29:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34
2016-04-26 11:29:13 DEBUG ASLSession:458 - Getting security token: null in thread 34
2016-04-26 11:29:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:29:13 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429]
2016-04-26 11:29:13 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:29:13 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:29:13 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429
2016-04-26 11:29:13 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:29:13 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:29:13 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:29:13 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:29:13 DEBUG SClient4WPS:872 - WPS STATUS:10.0
2016-04-26 11:29:13 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=10.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:29:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:29:23 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 11:29:23 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:29:23 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429]
2016-04-26 11:29:23 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:29:23 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:29:23 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429
2016-04-26 11:29:23 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:29:23 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:29:23 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:29:23 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:29:23 DEBUG SClient4WPS:872 - WPS STATUS:30.0
2016-04-26 11:29:23 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=30.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:29:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:29:33 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:29:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:29:33 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429]
2016-04-26 11:29:33 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:29:33 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:29:33 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429
2016-04-26 11:29:33 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:29:33 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:29:33 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:29:33 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:29:33 DEBUG SClient4WPS:872 - WPS STATUS:30.0
2016-04-26 11:29:33 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=30.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:29:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33
2016-04-26 11:29:43 DEBUG ASLSession:458 - Getting security token: null in thread 33
2016-04-26 11:29:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:29:43 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429]
2016-04-26 11:29:43 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:29:43 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:29:43 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429
2016-04-26 11:29:43 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:29:43 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:29:43 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:29:43 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:29:43 DEBUG SClient4WPS:872 - WPS STATUS:70.0
2016-04-26 11:29:43 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=70.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:29:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29
2016-04-26 11:29:53 DEBUG ASLSession:458 - Getting security token: null in thread 29
2016-04-26 11:29:53 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:29:53 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429]
2016-04-26 11:29:53 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:29:53 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:29:53 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429
2016-04-26 11:29:53 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:29:53 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:29:53 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:29:53 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:29:53 DEBUG SClient4WPS:872 - WPS STATUS:80.0
2016-04-26 11:29:53 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=80.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:30:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:30:03 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:30:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:30:03 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429]
2016-04-26 11:30:03 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:30:03 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:30:03 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429
2016-04-26 11:30:03 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:30:03 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:30:03 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:30:03 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
2016-04-26 11:30:03 DEBUG SClient4WPS:872 - WPS STATUS:80.0
2016-04-26 11:30:03 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=80.0, status=RUNNING, endDate=null, message=null, errResource=null]
2016-04-26 11:30:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32
2016-04-26 11:30:05 DEBUG ASLSession:458 - Getting security token: null in thread 32
2016-04-26 11:30:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30
2016-04-26 11:30:13 DEBUG ASLSession:458 - Getting security token: null in thread 30
2016-04-26 11:30:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE
2016-04-26 11:30:13 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429]
2016-04-26 11:30:13 INFO StatWPSClientSession:114 - CONNECT
2016-04-26 11:30:13 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null
2016-04-26 11:30:13 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429
2016-04-26 11:30:13 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb
2016-04-26 11:30:13 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi
2016-04-26 11:30:13 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document
2016-04-26 11:30:14 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject:
org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING
MAX_ENT_NICHE_MODELLING
Process successful
ASCII Maps of the environmental layers for checking features aligments
ASCII Maps of the environmental layers for checking features aligments
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OutputTable7
Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
id,csquarecode,x,y,z,time,fvalue
1,5918:100:1,-180,-90,0,0,-0.00546026
2,5917:209:2,-179.5,-90,0,0,-0.00546392
3,5917:209:1,-179,-90,0,0,-0.00546511
4,5917:208:2,-178.5,-90,0,0,-0.00546392
5,5917:208:1,-178,-90,0,0,-0.00546511
6,5917:207:2,-177.5,-90,0,0,-0.00546633
7,5917:207:1,-177,-90,0,0,-0.00546878
8,5917:206:2,-176.5,-90,0,0,-0.00547
9,5917:206:1,-176,-90,0,0,-0.00547
10,5917:205:2,-175.5,-90,0,0,-0.00547119
11,5917:205:1,-175,-90,0,0,-0.00547119
12,5917:104:2,-174.5,-90,0,0,-0.00547241
13,5917:104:1,-174,-90,0,0,-0.00547364
14,5917:103:2,-173.5,-90,0,0,-0.00547364
15,5917:103:1,-173,-90,0,0,-0.00547486
16,5917:102:2,-172.5,-90,0,0,-0.00547486
17,5917:102:1,-172,-90,0,0,-0.00547605
18,5917:101:2,-171.5,-90,0,0,-0.00547605
19,5917:101:1,-171,-90,0,0,-0.00547605
20,5917:100:2,-170.5,-90,0,0,-0.00547727
21,5917:100:1,-170,-90,0,0,-0.00547727
22,5916:209:2,-169.5,-90,0,0,-0.0054785
23,5916:209:1,-169,-90,0,0,-0.0054785
24,5916:208:2,-168.5,-90,0,0,-0.0054785
25,5916:208:1,-168,-90,0,0,-0.00547972
26,5916:207:2,-167.5,-90,0,0,-0.00547972
27,5916:207:1,-167,-90,0,0,-0.00548091
28,5916:206:2,-166.5,-90,0,0,-0.00548091
29,5916:206:1,-166,-90,0,0,-0.00547972
30,5916:205:2,-165.5,-90,0,0,-0.00547972
31,5916:205:1,-165,-90,0,0,-0.00547972
32,5916:104:2,-164.5,-90,0,0,-0.00547972
33,5916:104:1,-164,-90,0,0,-0.00547972
34,5916:103:2,-163.5,-90,0,0,-0.00547972
35,5916:103:1,-163,-90,0,0,-0.00548091
36,5916:102:2,-162.5,-90,0,0,-0.00548091
37,5916:102:1,-162,-90,0,0,-0.00548091
38,5916:101:2,-161.5,-90,0,0,-0.00548091
39,5916:101:1,-161,-90,0,0,-0.00548214
40,5916:100:2,-160.5,-90,0,0,-0.00548337
41,5916:100:1,-160,-90,0,0,-0.00548459
42,5915:209:2,-159.5,-90,0,0,-0.00548582
43,5915:209:1,-159,-90,0,0,-0.00548582
44,5915:208:2,-158.5,-90,0,0,-0.00548701
45,5915:208:1,-158,-90,0,0,-0.00548824
46,5915:207:2,-157.5,-90,0,0,-0.00548824
47,5915:207:1,-157,-90,0,0,-0.00548701
48,5915:206:2,-156.5,-90,0,0,-0.00548701
49,5915:206:1,-156,-90,0,0,-0.00548824
50,5915:205:2,-155.5,-90,0,0,-0.00548947
51,5915:205:1,-155,-90,0,0,-0.00548947
52,5915:104:2,-154.5,-90,0,0,-0.00548701
53,5915:104:1,-154,-90,0,0,-0.00548701
54,5915:103:2,-153.5,-90,0,0,-0.00548824
55,5915:103:1,-153,-90,0,0,-0.00548947
56,5915:102:2,-152.5,-90,0,0,-0.00548947
57,5915:102:1,-152,-90,0,0,-0.00548824
58,5915:101:2,-151.5,-90,0,0,-0.00548582
59,5915:101:1,-151,-90,0,0,-0.00548582
60,5915:100:2,-150.5,-90,0,0,-0.00548582
61,5915:100:1,-150,-90,0,0,-0.00548582
62,5914:209:2,-149.5,-90,0,0,-0.00548582
63,5914:209:1,-149,-90,0,0,-0.00548459
64,5914:208:2,-148.5,-90,0,0,-0.00548459
65,5914:208:1,-148,-90,0,0,-0.00548459
66,5914:207:2,-147.5,-90,0,0,-0.00548459
67,5914:207:1,-147,-90,0,0,-0.00548337
68,5914:206:2,-146.5,-90,0,0,-0.00548337
69,5914:206:1,-146,-90,0,0,-0.00548214
70,5914:205:2,-145.5,-90,0,0,-0.00548214
71,5914:205:1,-145,-90,0,0,-0.00548214
72,5914:104:2,-144.5,-90,0,0,-0.00548091
73,5914:104:1,-144,-90,0,0,-0.00548091
74,5914:103:2,-143.5,-90,0,0,-0.00548091
75,5914:103:1,-143,-90,0,0,-0.00548214
76,5914:102:2,-142.5,-90,0,0,-0.00548214
77,5914:102:1,-142,-90,0,0,-0.00548091
78,5914:101:2,-141.5,-90,0,0,-0.00547972
79,5914:101:1,-141,-90,0,0,-0.00548091
80,5914:100:2,-140.5,-90,0,0,-0.00548091
81,5914:100:1,-140,-90,0,0,-0.00548214
82,5913:209:2,-139.5,-90,0,0,-0.00548214
83,5913:209:1,-139,-90,0,0,-0.00548214
84,5913:208:2,-138.5,-90,0,0,-0.00548214
85,5913:208:1,-138,-90,0,0,-0.00548337
86,5913:207:2,-137.5,-90,0,0,-0.00548947
87,5913:207:1,-137,-90,0,0,-0.00550777
88,5913:206:2,-136.5,-90,0,0,-0.005536
89,5913:206:1,-136,-90,0,0,-0.00560158
90,5913:205:2,-135.5,-90,0,0,-0.00584441
91,5913:205:1,-135,-90,0,0,-0.00592286
92,5913:104:2,-134.5,-90,0,0,-0.00591106
93,5913:104:1,-134,-90,0,0,-0.00596912
94,5911:100:1,-110,-90,0,0,-0.00698226
95,5910:209:2,-109.5,-90,0,0,-0.00750095
96,5910:209:1,-109,-90,0,0,-0.00796395
97,5910:208:2,-108.5,-90,0,0,-0.00791092
98,5910:206:1,-106,-90,0,0,-0.005619
99,5910:205:2,-105.5,-90,0,0,-0.00555077
100,5910:205:1,-105,-90,0,0,-0.00552617
101,5910:104:2,-104.5,-90,0,0,-0.0055446
102,5910:104:1,-104,-90,0,0,-0.00578243
103,5910:103:2,-103.5,-90,0,0,-0.00623081
104,5910:103:1,-103,-90,0,0,-0.0065446
105,5910:102:2,-102.5,-90,0,0,-0.00661925
106,5906:101:2,-61.5,-90,0,0,-0.00552861
107,5906:101:1,-61,-90,0,0,-0.00552127
108,5906:100:2,-60.5,-90,0,0,-0.00550288
109,5906:100:1,-60,-90,0,0,-0.00548947
110,5905:209:2,-59.5,-90,0,0,-0.0054785
111,5905:209:1,-59,-90,0,0,-0.00546511
112,5905:208:2,-58.5,-90,0,0,-0.00545541
113,5905:208:1,-58,-90,0,0,-0.005453
114,5905:207:2,-57.5,-90,0,0,-0.00545179
115,5905:207:1,-57,-90,0,0,-0.00545057
116,5905:206:2,-56.5,-90,0,0,-0.00544935
117,5905:206:1,-56,-90,0,0,-0.00544935
118,5905:205:2,-55.5,-90,0,0,-0.00544935
119,5905:205:1,-55,-90,0,0,-0.00545057
120,5905:104:2,-54.5,-90,0,0,-0.00545057
121,5905:104:1,-54,-90,0,0,-0.00545057
122,5905:103:2,-53.5,-90,0,0,-0.00545057
123,5905:103:1,-53,-90,0,0,-0.00545179
124,5905:102:2,-52.5,-90,0,0,-0.005453
125,5905:102:1,-52,-90,0,0,-0.00545423
126,5905:101:2,-51.5,-90,0,0,-0.00545423
127,5905:101:1,-51,-90,0,0,-0.00545541
128,5905:100:2,-50.5,-90,0,0,-0.00545541
129,5905:100:1,-50,-90,0,0,-0.00545541
130,5904:209:2,-49.5,-90,0,0,-0.00545541
131,5904:209:1,-49,-90,0,0,-0.00545541
132,5904:208:2,-48.5,-90,0,0,-0.00545423
133,5904:208:1,-48,-90,0,0,-0.005453
134,5904:207:2,-47.5,-90,0,0,-0.005453
135,5904:207:1,-47,-90,0,0,-0.00545663
136,5904:206:2,-46.5,-90,0,0,-0.00545907
137,5904:206:1,-46,-90,0,0,-0.00546148
138,5904:205:2,-45.5,-90,0,0,-0.00546392
139,5904:205:1,-45,-90,0,0,-0.00546633
140,5904:104:2,-44.5,-90,0,0,-0.00546511
141,5904:104:1,-44,-90,0,0,-0.00546511
142,5904:103:2,-43.5,-90,0,0,-0.00546511
143,5904:103:1,-43,-90,0,0,-0.00546511
144,5904:102:2,-42.5,-90,0,0,-0.00546392
145,5904:102:1,-42,-90,0,0,-0.00546392
146,5904:101:2,-41.5,-90,0,0,-0.00546511
147,5904:101:1,-41,-90,0,0,-0.00546511
148,5904:100:2,-40.5,-90,0,0,-0.00546633
149,5904:100:1,-40,-90,0,0,-0.00546755
150,5903:209:2,-39.5,-90,0,0,-0.00546755
151,5903:209:1,-39,-90,0,0,-0.00546755
152,5903:208:2,-38.5,-90,0,0,-0.00546755
153,5903:208:1,-38,-90,0,0,-0.00546755
154,5903:207:2,-37.5,-90,0,0,-0.00546878
155,5903:207:1,-37,-90,0,0,-0.00546755
156,5903:206:2,-36.5,-90,0,0,-0.00546755
157,5903:206:1,-36,-90,0,0,-0.00546755
158,5903:205:2,-35.5,-90,0,0,-0.00546755
159,5903:205:1,-35,-90,0,0,-0.00546878
160,5903:104:2,-34.5,-90,0,0,-0.00546878
161,5903:104:1,-34,-90,0,0,-0.00546755
162,5903:103:2,-33.5,-90,0,0,-0.00546755
163,5903:103:1,-33,-90,0,0,-0.00546755
164,5903:102:2,-32.5,-90,0,0,-0.00546878
165,5903:102:1,-32,-90,0,0,-0.00546878
166,5903:101:2,-31.5,-90,0,0,-0.00546878
167,5903:101:1,-31,-90,0,0,-0.00547
168,5903:100:2,-30.5,-90,0,0,-0.00546878
169,5903:100:1,-30,-90,0,0,-0.00547
170,5902:209:2,-29.5,-90,0,0,-0.00547119
171,5902:209:1,-29,-90,0,0,-0.00547
172,5902:208:2,-28.5,-90,0,0,-0.00546878
173,5902:208:1,-28,-90,0,0,-0.00546755
174,5902:207:2,-27.5,-90,0,0,-0.00546633
175,5902:207:1,-27,-90,0,0,-0.00546511
176,5902:206:2,-26.5,-90,0,0,-0.00553848
177,5902:206:1,-26,-90,0,0,-0.00565409
178,5902:205:2,-25.5,-90,0,0,-0.00561402
179,5902:205:1,-25,-90,0,0,-0.00557672
180,5902:104:2,-24.5,-90,0,0,-0.00581851
181,5902:104:1,-24,-90,0,0,-0.00615781
182,3916:205:2,165.5,-90,0,0,-0.0055225
183,3916:206:1,166,-90,0,0,-0.00550411
184,3916:206:2,166.5,-90,0,0,-0.00548091
185,3916:207:1,167,-90,0,0,-0.00547241
186,3916:207:2,167.5,-90,0,0,-0.00546633
187,3916:208:1,168,-90,0,0,-0.00545907
188,3916:208:2,168.5,-90,0,0,-0.00545057
189,3916:209:1,169,-90,0,0,-0.00544451
190,3916:209:2,169.5,-90,0,0,-0.00544211
191,3917:100:1,170,-90,0,0,-0.00544333
192,3917:100:2,170.5,-90,0,0,-0.00544333
193,3917:101:1,171,-90,0,0,-0.00544089
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1863,5802:467:1,-27,-86,0,0,-0.00546511
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1865,5802:466:1,-26,-86,0,0,-0.00565409
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1886,3817:363:2,173.5,-86,0,0,-0.00790914
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1888,3817:364:2,174.5,-86,0,0,-0.00783724
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1894,3817:467:2,177.5,-86,0,0,-0.00544089
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1896,3817:468:2,178.5,-86,0,0,-0.00544816
1897,3817:469:1,179,-86,0,0,-0.005453
1898,3817:469:2,179.5,-86,0,0,-0.00545663
1899,3818:360:1,180,-86,0,0,-0.00546026
1900,5818:350:3,-180,-85.5,0,0,-0.00546026
1901,5817:459:4,-179.5,-85.5,0,0,-0.00546392
1902,5817:459:3,-179,-85.5,0,0,-0.00546511
1903,5817:458:4,-178.5,-85.5,0,0,-0.00546392
1904,5817:458:3,-178,-85.5,0,0,-0.00546511
1905,5817:457:4,-177.5,-85.5,0,0,-0.00546633
1906,5817:457:3,-177,-85.5,0,0,-0.00546878
1907,5817:456:4,-176.5,-85.5,0,0,-0.00547
1908,5817:456:3,-176,-85.5,0,0,-0.00547
1909,5817:455:4,-175.5,-85.5,0,0,-0.00547119
1910,5817:455:3,-175,-85.5,0,0,-0.00547119
1911,5817:354:4,-174.5,-85.5,0,0,-0.00547241
1912,5817:354:3,-174,-85.5,0,0,-0.00547364
1913,5817:353:4,-173.5,-85.5,0,0,-0.00547364
1914,5817:353:3,-173,-85.5,0,0,-0.00547486
1915,5817:352:4,-172.5,-85.5,0,0,-0.00547486
1916,5817:352:3,-172,-85.5,0,0,-0.00547605
1917,5817:351:4,-171.5,-85.5,0,0,-0.00547605
1918,5817:351:3,-171,-85.5,0,0,-0.00547605
1919,5817:350:4,-170.5,-85.5,0,0,-0.00547727
1920,5817:350:3,-170,-85.5,0,0,-0.00547727
1921,5816:459:4,-169.5,-85.5,0,0,-0.0054785
1922,5816:459:3,-169,-85.5,0,0,-0.0054785
1923,5816:458:4,-168.5,-85.5,0,0,-0.0054785
1924,5816:458:3,-168,-85.5,0,0,-0.00547972
1925,5816:457:4,-167.5,-85.5,0,0,-0.00547972
1926,5816:457:3,-167,-85.5,0,0,-0.00548091
1927,5816:456:4,-166.5,-85.5,0,0,-0.00548091
1928,5816:456:3,-166,-85.5,0,0,-0.00547972
1929,5816:455:4,-165.5,-85.5,0,0,-0.00547972
1930,5816:455:3,-165,-85.5,0,0,-0.00547972
1931,5816:354:4,-164.5,-85.5,0,0,-0.00547972
1932,5816:354:3,-164,-85.5,0,0,-0.00547972
1933,5816:353:4,-163.5,-85.5,0,0,-0.00547972
1934,5816:353:3,-163,-85.5,0,0,-0.00548091
1935,5816:352:4,-162.5,-85.5,0,0,-0.00548091
1936,5816:352:3,-162,-85.5,0,0,-0.00548091
1937,5816:351:4,-161.5,-85.5,0,0,-0.00548091
1938,5816:351:3,-161,-85.5,0,0,-0.00548214
1939,5816:350:4,-160.5,-85.5,0,0,-0.00548337
1940,5816:350:3,-160,-85.5,0,0,-0.00548459
1941,5815:459:4,-159.5,-85.5,0,0,-0.00548582
1942,5815:459:3,-159,-85.5,0,0,-0.00548582
1943,5815:458:4,-158.5,-85.5,0,0,-0.00548701
1944,5815:458:3,-158,-85.5,0,0,-0.00548824
1945,5815:457:4,-157.5,-85.5,0,0,-0.00548824
1946,5815:457:3,-157,-85.5,0,0,-0.00548701
1947,5815:456:4,-156.5,-85.5,0,0,-0.00548701
1948,5815:456:3,-156,-85.5,0,0,-0.00548824
1949,5815:455:4,-155.5,-85.5,0,0,-0.00548947
1950,5815:455:3,-155,-85.5,0,0,-0.00548947
1951,5815:354:4,-154.5,-85.5,0,0,-0.00548701
1952,5815:354:3,-154,-85.5,0,0,-0.00548701
1953,5815:353:4,-153.5,-85.5,0,0,-0.00548824
1954,5815:353:3,-153,-85.5,0,0,-0.00548947
1955,5815:352:4,-152.5,-85.5,0,0,-0.00548947
1956,5815:352:3,-152,-85.5,0,0,-0.00548824
1957,5815:351:4,-151.5,-85.5,0,0,-0.00548582
1958,5815:351:3,-151,-85.5,0,0,-0.00548582
1959,5815:350:4,-150.5,-85.5,0,0,-0.00548582
1960,5815:350:3,-150,-85.5,0,0,-0.00548582
1961,5814:459:4,-149.5,-85.5,0,0,-0.00548582
1962,5814:459:3,-149,-85.5,0,0,-0.00548459
1963,5814:458:4,-148.5,-85.5,0,0,-0.00548459
1964,5814:458:3,-148,-85.5,0,0,-0.00548459
1965,5814:457:4,-147.5,-85.5,0,0,-0.00548459
1966,5814:457:3,-147,-85.5,0,0,-0.00548337
1967,5814:456:4,-146.5,-85.5,0,0,-0.00548337
1968,5814:456:3,-146,-85.5,0,0,-0.00548214
1969,5814:455:4,-145.5,-85.5,0,0,-0.00548214
1970,5814:455:3,-145,-85.5,0,0,-0.00548214
1971,5814:354:4,-144.5,-85.5,0,0,-0.00548091
1972,5814:354:3,-144,-85.5,0,0,-0.00548091
1973,5814:353:4,-143.5,-85.5,0,0,-0.00548091
1974,5814:353:3,-143,-85.5,0,0,-0.00548214
1975,5814:352:4,-142.5,-85.5,0,0,-0.00548214
1976,5814:352:3,-142,-85.5,0,0,-0.00548091
1977,5814:351:4,-141.5,-85.5,0,0,-0.00547972
1978,5814:351:3,-141,-85.5,0,0,-0.00548091
1979,5814:350:4,-140.5,-85.5,0,0,-0.00548091
1980,5814:350:3,-140,-85.5,0,0,-0.00548214
1981,5813:459:4,-139.5,-85.5,0,0,-0.00548214
1982,5813:459:3,-139,-85.5,0,0,-0.00548214
1983,5813:458:4,-138.5,-85.5,0,0,-0.00548214
1984,5813:458:3,-138,-85.5,0,0,-0.00548337
1985,5813:457:4,-137.5,-85.5,0,0,-0.00548947
1986,5813:457:3,-137,-85.5,0,0,-0.00550777
1987,5813:456:4,-136.5,-85.5,0,0,-0.005536
1988,5813:456:3,-136,-85.5,0,0,-0.00560158
1989,5813:455:4,-135.5,-85.5,0,0,-0.00584441
1990,5813:455:3,-135,-85.5,0,0,-0.00592286
1991,5813:354:4,-134.5,-85.5,0,0,-0.00591106
1992,5813:354:3,-134,-85.5,0,0,-0.00596912
1993,5811:350:3,-110,-85.5,0,0,-0.00698226
1994,5810:459:4,-109.5,-85.5,0,0,-0.00750095
1995,5810:459:3,-109,-85.5,0,0,-0.00796395
1996,5810:458:4,-108.5,-85.5,0,0,-0.00791092
1997,5810:456:3,-106,-85.5,0,0,-0.005619
1998,5810:455:4,-105.5,-85.5,0,0,-0.00555077
1999,5810:455:3,-105,-85.5,0,0,-0.00552617
2000,5810:354:4,-104.5,-85.5,0,0,-0.0055446
2001,5810:354:3,-104,-85.5,0,0,-0.00578243
2002,5810:353:4,-103.5,-85.5,0,0,-0.00623081
2003,5810:353:3,-103,-85.5,0,0,-0.0065446
2004,5810:352:4,-102.5,-85.5,0,0,-0.00661925
2005,5806:351:4,-61.5,-85.5,0,0,-0.00552861
2006,5806:351:3,-61,-85.5,0,0,-0.00552127
2007,5806:350:4,-60.5,-85.5,0,0,-0.00550288
2008,5806:350:3,-60,-85.5,0,0,-0.00548947
2009,5805:459:4,-59.5,-85.5,0,0,-0.0054785
2010,5805:459:3,-59,-85.5,0,0,-0.00546511
2011,5805:458:4,-58.5,-85.5,0,0,-0.00545541
2012,5805:458:3,-58,-85.5,0,0,-0.005453
2013,5805:457:4,-57.5,-85.5,0,0,-0.00545179
2014,5805:457:3,-57,-85.5,0,0,-0.00545057
2015,5805:456:4,-56.5,-85.5,0,0,-0.00544935
2016,5805:456:3,-56,-85.5,0,0,-0.00544935
2017,5805:455:4,-55.5,-85.5,0,0,-0.00544935
2018,5805:455:3,-55,-85.5,0,0,-0.00545057
2019,5805:354:4,-54.5,-85.5,0,0,-0.00545057
2020,5805:354:3,-54,-85.5,0,0,-0.00545057
2021,5805:353:4,-53.5,-85.5,0,0,-0.00545057
2022,5805:353:3,-53,-85.5,0,0,-0.00545179
2023,5805:352:4,-52.5,-85.5,0,0,-0.005453
2024,5805:352:3,-52,-85.5,0,0,-0.00545423
2025,5805:351:4,-51.5,-85.5,0,0,-0.00545423
2026,5805:351:3,-51,-85.5,0,0,-0.00545541
2027,5805:350:4,-50.5,-85.5,0,0,-0.00545541
2028,5805:350:3,-50,-85.5,0,0,-0.00545541
2029,5804:459:4,-49.5,-85.5,0,0,-0.00545541
2030,5804:459:3,-49,-85.5,0,0,-0.00545541
2031,5804:458:4,-48.5,-85.5,0,0,-0.00545423
2032,5804:458:3,-48,-85.5,0,0,-0.005453
2033,5804:457:4,-47.5,-85.5,0,0,-0.005453
2034,5804:457:3,-47,-85.5,0,0,-0.00545663
2035,5804:456:4,-46.5,-85.5,0,0,-0.00545907
2036,5804:456:3,-46,-85.5,0,0,-0.00546148
2037,5804:455:4,-45.5,-85.5,0,0,-0.00546392
2038,5804:455:3,-45,-85.5,0,0,-0.00546633
2039,5804:354:4,-44.5,-85.5,0,0,-0.00546511
2040,5804:354:3,-44,-85.5,0,0,-0.00546511
2041,5804:353:4,-43.5,-85.5,0,0,-0.00546511
2042,5804:353:3,-43,-85.5,0,0,-0.00546511
2043,5804:352:4,-42.5,-85.5,0,0,-0.00546392
2044,5804:352:3,-42,-85.5,0,0,-0.00546392
2045,5804:351:4,-41.5,-85.5,0,0,-0.00546511
2046,5804:351:3,-41,-85.5,0,0,-0.00546511
2047,5804:350:4,-40.5,-85.5,0,0,-0.00546633
2048,5804:350:3,-40,-85.5,0,0,-0.00546755
2049,5803:459:4,-39.5,-85.5,0,0,-0.00546755
2050,5803:459:3,-39,-85.5,0,0,-0.00546755
2051,5803:458:4,-38.5,-85.5,0,0,-0.00546755
2052,5803:458:3,-38,-85.5,0,0,-0.00546755
2053,5803:457:4,-37.5,-85.5,0,0,-0.00546878
2054,5803:457:3,-37,-85.5,0,0,-0.00546755
2055,5803:456:4,-36.5,-85.5,0,0,-0.00546755
2056,5803:456:3,-36,-85.5,0,0,-0.00546755
2057,5803:455:4,-35.5,-85.5,0,0,-0.00546755
2058,5803:455:3,-35,-85.5,0,0,-0.00546878
2059,5803:354:4,-34.5,-85.5,0,0,-0.00546878
2060,5803:354:3,-34,-85.5,0,0,-0.00546755
2061,5803:353:4,-33.5,-85.5,0,0,-0.00546755
2062,5803:353:3,-33,-85.5,0,0,-0.00546755
2063,5803:352:4,-32.5,-85.5,0,0,-0.00546878
2064,5803:352:3,-32,-85.5,0,0,-0.00546878
2065,5803:351:4,-31.5,-85.5,0,0,-0.00546878
2066,5803:351:3,-31,-85.5,0,0,-0.00547
2067,5803:350:4,-30.5,-85.5,0,0,-0.00546878
2068,5803:350:3,-30,-85.5,0,0,-0.00547
2069,5802:459:4,-29.5,-85.5,0,0,-0.00547119
2070,5802:459:3,-29,-85.5,0,0,-0.00547
2071,5802:458:4,-28.5,-85.5,0,0,-0.00546878
2072,5802:458:3,-28,-85.5,0,0,-0.00546755
2073,5802:457:4,-27.5,-85.5,0,0,-0.00546633
2074,5802:457:3,-27,-85.5,0,0,-0.00546511
2075,5802:456:4,-26.5,-85.5,0,0,-0.00553848
2076,5802:456:3,-26,-85.5,0,0,-0.00565409
2077,5802:455:4,-25.5,-85.5,0,0,-0.00561402
2078,5802:455:3,-25,-85.5,0,0,-0.00557672
2079,5802:354:4,-24.5,-85.5,0,0,-0.00581851
2080,5802:354:3,-24,-85.5,0,0,-0.00615781
2081,3816:455:4,165.5,-85.5,0,0,-0.0055225
2082,3816:456:3,166,-85.5,0,0,-0.00550411
2083,3816:456:4,166.5,-85.5,0,0,-0.00548091
2084,3816:457:3,167,-85.5,0,0,-0.00547241
2085,3816:457:4,167.5,-85.5,0,0,-0.00546633
2086,3816:458:3,168,-85.5,0,0,-0.00545907
2087,3816:458:4,168.5,-85.5,0,0,-0.00545057
2088,3816:459:3,169,-85.5,0,0,-0.00544451
2089,3816:459:4,169.5,-85.5,0,0,-0.00544211
2090,3817:350:3,170,-85.5,0,0,-0.00544333
2091,3817:350:4,170.5,-85.5,0,0,-0.00544333
2092,3817:351:3,171,-85.5,0,0,-0.00544089
2093,3817:351:4,171.5,-85.5,0,0,-0.00569445
2094,3817:352:3,172,-85.5,0,0,-0.00650255
2095,3817:352:4,172.5,-85.5,0,0,-0.00744774
2096,3817:353:3,173,-85.5,0,0,-0.00792146
2097,3817:353:4,173.5,-85.5,0,0,-0.00790914
2098,3817:354:3,174,-85.5,0,0,-0.00786525
2099,3817:354:4,174.5,-85.5,0,0,-0.00783724
2100,3817:455:3,175,-85.5,0,0,-0.00782681
2101,3817:455:4,175.5,-85.5,0,0,-0.00778162
2102,3817:456:3,176,-85.5,0,0,-0.00760351
2103,3817:456:4,176.5,-85.5,0,0,-0.00631868
2104,3817:457:3,177,-85.5,0,0,-0.00551024
2105,3817:457:4,177.5,-85.5,0,0,-0.00544089
2106,3817:458:3,178,-85.5,0,0,-0.00544211
2107,3817:458:4,178.5,-85.5,0,0,-0.00544816
2108,3817:459:3,179,-85.5,0,0,-0.005453
2109,3817:459:4,179.5,-85.5,0,0,-0.00545663
2110,3818:350:3,180,-85.5,0,0,-0.00546026
2111,5818:350:1,-180,-85,0,0,-0.00546026
2112,5817:459:2,-179.5,-85,0,0,-0.00546392
2113,5817:459:1,-179,-85,0,0,-0.00546511
2114,5817:458:2,-178.5,-85,0,0,-0.00546392
2115,5817:458:1,-178,-85,0,0,-0.00546511
2116,5817:457:2,-177.5,-85,0,0,-0.00546633
2117,5817:457:1,-177,-85,0,0,-0.00546878
2118,5817:456:2,-176.5,-85,0,0,-0.00547
2119,5817:456:1,-176,-85,0,0,-0.00547
2120,5817:455:2,-175.5,-85,0,0,-0.00547119
2121,5817:455:1,-175,-85,0,0,-0.00547119
2122,5817:354:2,-174.5,-85,0,0,-0.00547241
2123,5817:354:1,-174,-85,0,0,-0.00547364
2124,5817:353:2,-173.5,-85,0,0,-0.00547364
2125,5817:353:1,-173,-85,0,0,-0.00547486
2126,5817:352:2,-172.5,-85,0,0,-0.00547486
2127,5817:352:1,-172,-85,0,0,-0.00547605
2128,5817:351:2,-171.5,-85,0,0,-0.00547605
2129,5817:351:1,-171,-85,0,0,-0.00547605
2130,5817:350:2,-170.5,-85,0,0,-0.00547727
2131,5817:350:1,-170,-85,0,0,-0.00547727
2132,5816:459:2,-169.5,-85,0,0,-0.0054785
2133,5816:459:1,-169,-85,0,0,-0.0054785
2134,5816:458:2,-168.5,-85,0,0,-0.0054785
2135,5816:458:1,-168,-85,0,0,-0.00547972
2136,5816:457:2,-167.5,-85,0,0,-0.00547972
2137,5816:457:1,-167,-85,0,0,-0.00548091
2138,5816:456:2,-166.5,-85,0,0,-0.00548091
2139,5816:456:1,-166,-85,0,0,-0.00547972
2140,5816:455:2,-165.5,-85,0,0,-0.00547972
2141,5816:455:1,-165,-85,0,0,-0.00547972
2142,5816:354:2,-164.5,-85,0,0,-0.00547972
2143,5816:354:1,-164,-85,0,0,-0.00547972
2144,5816:353:2,-163.5,-85,0,0,-0.00547972
2145,5816:353:1,-163,-85,0,0,-0.00548091
2146,5816:352:2,-162.5,-85,0,0,-0.00548091
2147,5816:352:1,-162,-85,0,0,-0.00548091
2148,5816:351:2,-161.5,-85,0,0,-0.00548091
2149,5816:351:1,-161,-85,0,0,-0.00548214
2150,5816:350:2,-160.5,-85,0,0,-0.00548337
2151,5816:350:1,-160,-85,0,0,-0.00548459
2152,5815:459:2,-159.5,-85,0,0,-0.00548582
2153,5815:459:1,-159,-85,0,0,-0.00548582
2154,5815:458:2,-158.5,-85,0,0,-0.00548701
2155,5815:458:1,-158,-85,0,0,-0.00548824
2156,5815:457:2,-157.5,-85,0,0,-0.00548824
2157,5815:457:1,-157,-85,0,0,-0.00548701
2158,5815:456:2,-156.5,-85,0,0,-0.00548701
2159,5815:456:1,-156,-85,0,0,-0.00548824
2160,5815:455:2,-155.5,-85,0,0,-0.00548947
2161,5815:455:1,-155,-85,0,0,-0.00548947
2162,5815:354:2,-154.5,-85,0,0,-0.00548701
2163,5815:354:1,-154,-85,0,0,-0.00548701
2164,5815:353:2,-153.5,-85,0,0,-0.00548824
2165,5815:353:1,-153,-85,0,0,-0.00548947
2166,5815:352:2,-152.5,-85,0,0,-0.00548947
2167,5815:352:1,-152,-85,0,0,-0.00548824
2168,5815:351:2,-151.5,-85,0,0,-0.00548582
2169,5815:351:1,-151,-85,0,0,-0.00548582
2170,5815:350:2,-150.5,-85,0,0,-0.00548582
2171,5815:350:1,-150,-85,0,0,-0.00548582
2172,5814:459:2,-149.5,-85,0,0,-0.00548582
2173,5814:459:1,-149,-85,0,0,-0.00548459
2174,5814:458:2,-148.5,-85,0,0,-0.00548459
2175,5814:458:1,-148,-85,0,0,-0.00548459
2176,5814:457:2,-147.5,-85,0,0,-0.00548459
2177,5814:457:1,-147,-85,0,0,-0.00548337
2178,5814:456:2,-146.5,-85,0,0,-0.00548337
2179,5814:456:1,-146,-85,0,0,-0.00548214
2180,5814:455:2,-145.5,-85,0,0,-0.00548214
2181,5814:455:1,-145,-85,0,0,-0.00548214
2182,5814:354:2,-144.5,-85,0,0,-0.00548091
2183,5814:354:1,-144,-85,0,0,-0.00548091
2184,5814:353:2,-143.5,-85,0,0,-0.00548091
2185,5814:353:1,-143,-85,0,0,-0.00548214
2186,5814:352:2,-142.5,-85,0,0,-0.00548214
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2191,5814:350:1,-140,-85,0,0,-0.00548214
2192,5813:459:2,-139.5,-85,0,0,-0.00548214
2193,5813:459:1,-139,-85,0,0,-0.00548214
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2197,5813:457:1,-137,-85,0,0,-0.00550777
2198,5813:456:2,-136.5,-85,0,0,-0.005536
2199,5813:456:1,-136,-85,0,0,-0.00560158
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2201,5813:455:1,-135,-85,0,0,-0.00592286
2202,5813:354:2,-134.5,-85,0,0,-0.00591106
2203,5813:354:1,-134,-85,0,0,-0.00596912
2204,5811:350:1,-110,-85,0,0,-0.00698226
2205,5810:459:2,-109.5,-85,0,0,-0.00750095
2206,5810:459:1,-109,-85,0,0,-0.00796395
2207,5810:458:2,-108.5,-85,0,0,-0.00791092
2208,5810:456:1,-106,-85,0,0,-0.005619
2209,5810:455:2,-105.5,-85,0,0,-0.00555077
2210,5810:455:1,-105,-85,0,0,-0.00552617
2211,5810:354:2,-104.5,-85,0,0,-0.0055446
2212,5810:354:1,-104,-85,0,0,-0.00578243
2213,5810:353:2,-103.5,-85,0,0,-0.00623081
2214,5810:353:1,-103,-85,0,0,-0.0065446
2215,5810:352:2,-102.5,-85,0,0,-0.00661925
2216,5806:351:2,-61.5,-85,0,0,-0.00552861
2217,5806:351:1,-61,-85,0,0,-0.00552127
2218,5806:350:2,-60.5,-85,0,0,-0.00550288
2219,5806:350:1,-60,-85,0,0,-0.00548947
2220,5805:459:2,-59.5,-85,0,0,-0.0054785
2221,5805:459:1,-59,-85,0,0,-0.00546511
2222,5805:458:2,-58.5,-85,0,0,-0.00545541
2223,5805:458:1,-58,-85,0,0,-0.005453
2224,5805:457:2,-57.5,-85,0,0,-0.00545179
2225,5805:457:1,-57,-85,0,0,-0.00545057
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2227,5805:456:1,-56,-85,0,0,-0.00544935
2228,5805:455:2,-55.5,-85,0,0,-0.00544935
2229,5805:455:1,-55,-85,0,0,-0.00545057
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151226,7906:101:1,-61,90,0,0,-0.00552127
151227,7906:100:2,-60.5,90,0,0,-0.00550288
151228,7906:100:1,-60,90,0,0,-0.00548947
151229,7905:209:2,-59.5,90,0,0,-0.0054785
151230,7905:209:1,-59,90,0,0,-0.00546511
151231,7905:208:2,-58.5,90,0,0,-0.00545541
151232,7905:208:1,-58,90,0,0,-0.005453
151233,7905:207:2,-57.5,90,0,0,-0.00545179
151234,7905:207:1,-57,90,0,0,-0.00545057
151235,7905:206:2,-56.5,90,0,0,-0.00544935
151236,7905:206:1,-56,90,0,0,-0.00544935
151237,7905:205:2,-55.5,90,0,0,-0.00544935
151238,7905:205:1,-55,90,0,0,-0.00545057
151239,7905:104:2,-54.5,90,0,0,-0.00545057
151240,7905:104:1,-54,90,0,0,-0.00545057
151241,7905:103:2,-53.5,90,0,0,-0.00545057
151242,7905:103:1,-53,90,0,0,-0.00545179
151243,7905:102:2,-52.5,90,0,0,-0.005453
151244,7905:102:1,-52,90,0,0,-0.00545423
151245,7905:101:2,-51.5,90,0,0,-0.00545423
151246,7905:101:1,-51,90,0,0,-0.00545541
151247,7905:100:2,-50.5,90,0,0,-0.00545541
151248,7905:100:1,-50,90,0,0,-0.00545541
151249,7904:209:2,-49.5,90,0,0,-0.00545541
151250,7904:209:1,-49,90,0,0,-0.00545541
151251,7904:208:2,-48.5,90,0,0,-0.00545423
151252,7904:208:1,-48,90,0,0,-0.005453
151253,7904:207:2,-47.5,90,0,0,-0.005453
151254,7904:207:1,-47,90,0,0,-0.00545663
151255,7904:206:2,-46.5,90,0,0,-0.00545907
151256,7904:206:1,-46,90,0,0,-0.00546148
151257,7904:205:2,-45.5,90,0,0,-0.00546392
151258,7904:205:1,-45,90,0,0,-0.00546633
151259,7904:104:2,-44.5,90,0,0,-0.00546511
151260,7904:104:1,-44,90,0,0,-0.00546511
151261,7904:103:2,-43.5,90,0,0,-0.00546511
151262,7904:103:1,-43,90,0,0,-0.00546511
151263,7904:102:2,-42.5,90,0,0,-0.00546392
151264,7904:102:1,-42,90,0,0,-0.00546392
151265,7904:101:2,-41.5,90,0,0,-0.00546511
151266,7904:101:1,-41,90,0,0,-0.00546511
151267,7904:100:2,-40.5,90,0,0,-0.00546633
151268,7904:100:1,-40,90,0,0,-0.00546755
151269,7903:209:2,-39.5,90,0,0,-0.00546755
151270,7903:209:1,-39,90,0,0,-0.00546755
151271,7903:208:2,-38.5,90,0,0,-0.00546755
151272,7903:208:1,-38,90,0,0,-0.00546755
151273,7903:207:2,-37.5,90,0,0,-0.00546878
151274,7903:207:1,-37,90,0,0,-0.00546755
151275,7903:206:2,-36.5,90,0,0,-0.00546755
151276,7903:206:1,-36,90,0,0,-0.00546755
151277,7903:205:2,-35.5,90,0,0,-0.00546755
151278,7903:205:1,-35,90,0,0,-0.00546878
151279,7903:104:2,-34.5,90,0,0,-0.00546878
151280,7903:104:1,-34,90,0,0,-0.00546755
151281,7903:103:2,-33.5,90,0,0,-0.00546755
151282,7903:103:1,-33,90,0,0,-0.00546755
151283,7903:102:2,-32.5,90,0,0,-0.00546878
151284,7903:102:1,-32,90,0,0,-0.00546878
151285,7903:101:2,-31.5,90,0,0,-0.00546878
151286,7903:101:1,-31,90,0,0,-0.00547
151287,7903:100:2,-30.5,90,0,0,-0.00546878
151288,7903:100:1,-30,90,0,0,-0.00547
151289,7902:209:2,-29.5,90,0,0,-0.00547119
151290,7902:209:1,-29,90,0,0,-0.00547
151291,7902:208:2,-28.5,90,0,0,-0.00546878
151292,7902:208:1,-28,90,0,0,-0.00546755
151293,7902:207:2,-27.5,90,0,0,-0.00546633
151294,7902:207:1,-27,90,0,0,-0.00546511
151295,7902:206:2,-26.5,90,0,0,-0.00553848
151296,7902:206:1,-26,90,0,0,-0.00565409
151297,7902:205:2,-25.5,90,0,0,-0.00561402
151298,7902:205:1,-25,90,0,0,-0.00557672
151299,7902:104:2,-24.5,90,0,0,-0.00581851
151300,7902:104:1,-24,90,0,0,-0.00615781
151301,1916:205:2,165.5,90,0,0,-0.0055225
151302,1916:206:1,166,90,0,0,-0.00550411
151303,1916:206:2,166.5,90,0,0,-0.00548091
151304,1916:207:1,167,90,0,0,-0.00547241
151305,1916:207:2,167.5,90,0,0,-0.00546633
151306,1916:208:1,168,90,0,0,-0.00545907
151307,1916:208:2,168.5,90,0,0,-0.00545057
151308,1916:209:1,169,90,0,0,-0.00544451
151309,1916:209:2,169.5,90,0,0,-0.00544211
151310,1917:100:1,170,90,0,0,-0.00544333
151311,1917:100:2,170.5,90,0,0,-0.00544333
151312,1917:101:1,171,90,0,0,-0.00544089
151313,1917:101:2,171.5,90,0,0,-0.00569445
151314,1917:102:1,172,90,0,0,-0.00650255
151315,1917:102:2,172.5,90,0,0,-0.00744774
151316,1917:103:1,173,90,0,0,-0.00792146
151317,1917:103:2,173.5,90,0,0,-0.00790914
151318,1917:104:1,174,90,0,0,-0.00786525
151319,1917:104:2,174.5,90,0,0,-0.00783724
151320,1917:205:1,175,90,0,0,-0.00782681
151321,1917:205:2,175.5,90,0,0,-0.00778162
151322,1917:206:1,176,90,0,0,-0.00760351
151323,1917:206:2,176.5,90,0,0,-0.00631868
151324,1917:207:1,177,90,0,0,-0.00551024
151325,1917:207:2,177.5,90,0,0,-0.00544089
151326,1917:208:1,178,90,0,0,-0.00544211
151327,1917:208:2,178.5,90,0,0,-0.00544816
151328,1917:209:1,179,90,0,0,-0.005453
151329,1917:209:2,179.5,90,0,0,-0.00545663
151330,1918:100:1,180,90,0,0,-0.00546026
non_deterministic_output
NonDeterministicOutput
http://data-d.d4science.org/bmFjMVFHZlE5YzVxUmhYZ0pWd0RHa1NTcjNZWjdXTnhHbWJQNStIS0N6Yz0
The warnings from the underlying MaxEnt model
text/csv
http://data-d.d4science.org/bmFjMVFHZlE5YzVxUmhYZ0pWd0RHanVtNm85MEhoZ2dHbWJQNStIS0N6Yz0
ASCII Maps of the environmental layers for checking features aligments
text/csv
http://data-d.d4science.org/UVRiK1YzK3pJRjVxUmhYZ0pWd0RHdnpvQnhIYlZhbFRHbWJQNStIS0N6Yz0
World Thumbnail
image/png
http://data-d.d4science.org/NzFkKzVNMnA3eU5xUmhYZ0pWd0RHcXM0aHArTHJoeExHbWJQNStIS0N6Yz0
ROC Curve
image/png
http://data-d.d4science.org/MWt6NWUvdXZHRGhxUmhYZ0pWd0RHdkpPSVZrZmFJS2dHbWJQNStIS0N6Yz0
Omission-Commission Curve
image/png
http://data-d.d4science.org/TDVlSlMrTjhYVEZxUmhYZ0pWd0RHZ0xvQ2IzT3ZwQTVHbWJQNStIS0N6Yz0
Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding]
text/csv