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git-svn-id: https://svn.d4science.research-infrastructures.eu/gcube/trunk/data-analysis/EcologicalEngineGeoSpatialExtension@92653 82a268e6-3cf1-43bd-a215-b396298e98cf

This commit is contained in:
Gianpaolo Coro 2014-03-04 19:01:35 +00:00
parent 9ccff2229a
commit cf54369930
3 changed files with 60 additions and 27 deletions
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0
cfg/dynamictransducerers.properties Normal file
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31
cfg/transducerers.properties
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@ -1,14 +1,41 @@
ABSENCE_CELLS_FROM_AQUAMAPS=org.gcube.dataanalysis.ecoengine.transducers.simplequeryexecutors.MarineAbsencePointsFromAquamapsDistribution
BIOCLIMATE_HSPEC=org.gcube.dataanalysis.ecoengine.transducers.BioClimateHSPECTransducer BIOCLIMATE_HSPEC=org.gcube.dataanalysis.ecoengine.transducers.BioClimateHSPECTransducer
BIOCLIMATE_HCAF=org.gcube.dataanalysis.ecoengine.transducers.BioClimateHCAFTransducer BIOCLIMATE_HCAF=org.gcube.dataanalysis.ecoengine.transducers.BioClimateHCAFTransducer
BIOCLIMATE_HSPEN=org.gcube.dataanalysis.ecoengine.transducers.BioClimateHSPENTransducer BIOCLIMATE_HSPEN=org.gcube.dataanalysis.ecoengine.transducers.BioClimateHSPENTransducer
HCAF_INTERPOLATION=org.gcube.dataanalysis.ecoengine.transducers.InterpolationTransducer HCAF_INTERPOLATION=org.gcube.dataanalysis.ecoengine.transducers.InterpolationTransducer
HCAF_FILTER=org.gcube.dataanalysis.ecoengine.transducers.simplequeryexecutors.HcafFilter HCAF_FILTER=org.gcube.dataanalysis.ecoengine.transducers.simplequeryexecutors.HcafFilter
HSPEN_FILTER=org.gcube.dataanalysis.ecoengine.transducers.simplequeryexecutors.HspenFilter HSPEN_FILTER=org.gcube.dataanalysis.ecoengine.transducers.simplequeryexecutors.HspenFilter
ABSENCE_CELLS_FROM_AQUAMAPS=org.gcube.dataanalysis.ecoengine.transducers.simplequeryexecutors.MarineAbsencePointsFromAquamapsDistribution
PRESENCE_CELLS_GENERATION=org.gcube.dataanalysis.ecoengine.transducers.simplequeryexecutors.MarinePresencePoints
OCCURRENCES_MERGER=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsMerger OCCURRENCES_MERGER=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsMerger
OCCURRENCES_INTERSECTOR=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsIntersector OCCURRENCES_INTERSECTOR=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsIntersector
OCCURRENCES_MARINE_TERRESTRIAL=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsInSeaOnEarth OCCURRENCES_MARINE_TERRESTRIAL=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsInSeaOnEarth
OCCURRENCES_DUPLICATES_DELETER=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsDuplicatesDeleter OCCURRENCES_DUPLICATES_DELETER=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsDuplicatesDeleter
OCCURRENCES_SUBTRACTION=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsSubtraction OCCURRENCES_SUBTRACTION=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsSubtraction
PRESENCE_CELLS_GENERATION=org.gcube.dataanalysis.ecoengine.transducers.simplequeryexecutors.MarinePresencePoints
FIN_TAXA_MATCH=org.gcube.dataanalysis.fin.taxamatch.TaxaMatchTransducer FIN_TAXA_MATCH=org.gcube.dataanalysis.fin.taxamatch.TaxaMatchTransducer
OBIS_MOST_OBSERVED_SPECIES=org.gcube.dataanalysis.trendylyzeralgorithms.AbsoluteSpeciesBarChartsAlgorithm
OBIS_SINGLE_SPECIES_DISTRIBUTION_PER_AREA=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsAreaBarChart
OBIS_SPECIES_OBSERVATIONS_PER_YEAR=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsPerYear
OBIS_MOST_OBSERVED_TAXA=org.gcube.dataanalysis.trendylyzeralgorithms.TaxaObservationsBarChartAlgorithm
OBIS_TAXA_OBSERVATIONS_PER_YEAR=org.gcube.dataanalysis.trendylyzeralgorithms.TaxaObservationsPerYearLineChart
OBIS_SPECIES_OBSERVATIONS_PER_LME_AREA=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsPerLMEAreaPerYearLineChart
OBIS_SPECIES_OBSERVATIONS_PER_MEOW_AREA=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsPerMEOWAreaPerYearLineChart
MOST_OBSERVED_SPECIES=org.gcube.dataanalysis.trendylyzeralgorithms.AbsoluteSpeciesBarChartsAlgorithm
SPECIES_OBSERVATIONS_TREND_PER_YEAR=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsPerYear
MOST_OBSERVED_TAXA=org.gcube.dataanalysis.trendylyzeralgorithms.TaxaObservationsBarChartAlgorithm
TAXONOMY_OBSERVATIONS_TREND_PER_YEAR=org.gcube.dataanalysis.trendylyzeralgorithms.TaxaObservationsPerYearLineChart
SPECIES_OBSERVATIONS_PER_AREA=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsAreaBarChart
SPECIES_OBSERVATION_LME_AREA_PER_YEAR=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsPerLMEAreaPerYearLineChart
SPECIES_OBSERVATION_MEOW_AREA_PER_YEAR=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsPerMEOWAreaPerYearLineChart
GET_TAXA_ALGORITHM=org.gcube.dataanalysis.JobSMspd.TaxaProcedure
GET_OCCURRENCES_ALGORITHM=org.gcube.dataanalysis.JobSMspd.OccurencesProcedure
FIN_GSAY_MATCH=org.gcube.dataanalysis.fin.gsay.GSAYTransducer
POINTS_TO_MAP=org.gcube.dataanalysis.geo.algorithms.PointsMapsCreator
POLYGONS_TO_MAP=org.gcube.dataanalysis.geo.algorithms.PolygonMapsCreator
SPECIES_MAP_FROM_CSQUARES=org.gcube.dataanalysis.geo.algorithms.SpeciesDistributionsMapsCreatorFromCsquares
SPECIES_MAP_FROM_POINTS=org.gcube.dataanalysis.geo.algorithms.SpeciesDistributionsMapsCreatorFromPoints
BIONYM_LOCAL=org.gcube.dataanalysis.executor.nodes.transducers.bionym.BionymLocalTransducer
XYEXTRACTOR=org.gcube.dataanalysis.geo.algorithms.XYExtraction
XYEXTRACTOR_TABLE=org.gcube.dataanalysis.geo.algorithms.XYExtractionTable
TIMEEXTRACTION=org.gcube.dataanalysis.geo.algorithms.TimeExtraction
TIMEEXTRACTION_TABLE=org.gcube.dataanalysis.geo.algorithms.TimeExtractionTable
ZEXTRACTION=org.gcube.dataanalysis.geo.algorithms.ZExtraction

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cfg/userperspective.properties
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@ -1,8 +1,8 @@
ANOMALIES_DETECTION=DBSCAN,KMEANS,XMEANS ANOMALIES_DETECTION=DBSCAN,LOF,KMEANS,XMEANS
CLASSIFICATION=FEED_FORWARD_A_N_N_DISTRIBUTION CLASSIFICATION=FEED_FORWARD_A_N_N_DISTRIBUTION
CLIMATE=BIOCLIMATE_HSPEC,BIOCLIMATE_HCAF,BIOCLIMATE_HSPEN,HCAF_INTERPOLATION CLIMATE=BIOCLIMATE_HSPEC,BIOCLIMATE_HCAF,BIOCLIMATE_HSPEN,HCAF_INTERPOLATION
CORRELATION_ANALYSIS=HRS CORRELATION_ANALYSIS=HRS
DATA_CLUSTERING=DBSCAN,KMEANS,XMEANS DATA_CLUSTERING=DBSCAN,LOF,KMEANS,XMEANS
FILTERING=HCAF_FILTER,HSPEN_FILTER FILTERING=HCAF_FILTER,HSPEN_FILTER
FUNCTION_SIMULATION=FEED_FORWARD_A_N_N_DISTRIBUTION FUNCTION_SIMULATION=FEED_FORWARD_A_N_N_DISTRIBUTION
OCCURRENCES=ABSENCE_CELLS_FROM_AQUAMAPS,PRESENCE_CELLS_GENERATION,OCCURRENCES_MERGER,OCCURRENCES_INTERSECTOR,OCCURRENCES_MARINE_TERRESTRIAL,OCCURRENCES_DUPLICATES_DELETER,OCCURRENCES_SUBTRACTION OCCURRENCES=ABSENCE_CELLS_FROM_AQUAMAPS,PRESENCE_CELLS_GENERATION,OCCURRENCES_MERGER,OCCURRENCES_INTERSECTOR,OCCURRENCES_MARINE_TERRESTRIAL,OCCURRENCES_DUPLICATES_DELETER,OCCURRENCES_SUBTRACTION
@ -10,4 +10,10 @@ PERFORMANCES_EVALUATION=QUALITY_ANALYSIS,DISCREPANCY_ANALYSIS
SPECIES_SIMULATION=AQUAMAPS_SUITABLE,AQUAMAPS_NATIVE,AQUAMAPS_NATIVE_2050,AQUAMAPS_SUITABLE_2050,AQUAMAPS_NATIVE_NEURALNETWORK,AQUAMAPS_SUITABLE_NEURALNETWORK SPECIES_SIMULATION=AQUAMAPS_SUITABLE,AQUAMAPS_NATIVE,AQUAMAPS_NATIVE_2050,AQUAMAPS_SUITABLE_2050,AQUAMAPS_NATIVE_NEURALNETWORK,AQUAMAPS_SUITABLE_NEURALNETWORK
TRAINING=HSPEN,AQUAMAPSNN,FEED_FORWARD_ANN TRAINING=HSPEN,AQUAMAPSNN,FEED_FORWARD_ANN
TIME_SERIES=HCAF_INTERPOLATION TIME_SERIES=HCAF_INTERPOLATION
TAXA=FIN_TAXA_MATCH TAXA=FIN_TAXA_MATCH,BIONYM,BIONYM_BIODIV,BIONYM_LOCAL,FIN_GSAY_MATCH
MAPS=MAPS_COMPARISON,DISCREPANCY_ANALYSIS,POINTS_TO_MAP,POLYGONS_TO_MAP,SPECIES_MAP_FROM_CSQUARES,SPECIES_MAP_FROM_POINTS
GEO_PROCESSING=XYEXTRACTOR,XYEXTRACTOR_TABLE,TIMEEXTRACTION,TIMEEXTRACTION_TABLE
BAYESIAN_METHODS=LWR,FEED_FORWARD_A_N_N_DISTRIBUTION
OBIS_OBSERVATIONS_SPECIES_DATA=MOST_OBSERVED_SPECIES,MOST_OBSERVED_TAXA,SPECIES_OBSERVATIONS_PER_AREA
OBIS_OBSERVATIONS_TRENDS=SPECIES_OBSERVATIONS_TREND_PER_YEAR,TAXONOMY_OBSERVATIONS_TREND_PER_YEAR,SPECIES_OBSERVATION_MEOW_AREA_PER_YEAR,SPECIES_OBSERVATION_LME_AREA_PER_YEAR
SPD_PROCEDURES=GET_TAXA_ALGORITHM,GET_OCCURRENCES_ALGORITHM