52 lines
2.4 KiB
Java
52 lines
2.4 KiB
Java
package org.gcube.dataanalysis.geo.test.regression;
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import org.gcube.contentmanagement.lexicalmatcher.utils.AnalysisLogger;
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import org.gcube.dataanalysis.ecoengine.configuration.AlgorithmConfiguration;
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import org.gcube.dataanalysis.ecoengine.signals.PeriodicityDetector;
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import org.gcube.dataanalysis.geo.connectors.table.TableMatrixRepresentation;
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import org.gcube.dataanalysis.geo.matrixmodel.TimeSeriesExtractor;
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public class RegressionSignalFromTable {
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static String cfg = "./cfg/";
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public static void main(String[] args) throws Exception{
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AlgorithmConfiguration config = new AlgorithmConfiguration();
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config.setConfigPath("./cfg/");
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config.setPersistencePath("./");
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config.setParam("DatabaseUserName", "utente");
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config.setParam("DatabasePassword", "d4science");
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config.setParam("DatabaseURL", "jdbc:postgresql://statistical-manager.d.d4science.research-infrastructures.eu/testdb");
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config.setParam("DatabaseDriver", "org.postgresql.Driver");
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// vessels
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config.setParam(TableMatrixRepresentation.tableNameParameter, "generic_id037d302d_2ba0_4e43_b6e4_1a797bb91728");
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config.setParam(TableMatrixRepresentation.xDimensionColumnParameter, "x");
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config.setParam(TableMatrixRepresentation.yDimensionColumnParameter, "y");
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config.setParam(TableMatrixRepresentation.timeDimensionColumnParameter, "datetime");
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config.setParam(TableMatrixRepresentation.valueDimensionColumnParameter, "speed");
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config.setParam(TableMatrixRepresentation.filterParameter, "speed<2");
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AnalysisLogger.setLogger(config.getConfigPath() + AlgorithmConfiguration.defaultLoggerFile);
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config.setGcubeScope("/d4science.research-infrastructures.eu/gCubeApps/BiodiversityLab");
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config.setConfigPath(cfg);
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TimeSeriesExtractor intersector = new TimeSeriesExtractor(config);
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long t0 = System.currentTimeMillis();
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double signal[] = intersector.extractT("table", -47.97,43.42, 0d, 0.5);
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System.out.println("ELAPSED TIME: "+(System.currentTimeMillis()-t0));
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System.out.println("Signal: "+signal.length);
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PeriodicityDetector pd = new PeriodicityDetector();
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double F = pd.detectFrequency(signal,true);
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System.out.println("Detected Frequency:"+F+" indecision ["+pd.lowermeanF+" , "+pd.uppermeanF+"]");
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System.out.println("Detected Period:"+pd.meanPeriod+" indecision ["+pd.lowermeanPeriod+" , "+pd.uppermeanPeriod+"]");
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System.out.println("Detected Periodicity Strength:"+pd.periodicityStrength);
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}
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}
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