34 lines
1.5 KiB
Java
34 lines
1.5 KiB
Java
package org.gcube.dataanalysis.geo.test.regression;
|
|
|
|
import org.gcube.contentmanagement.lexicalmatcher.utils.AnalysisLogger;
|
|
import org.gcube.dataanalysis.ecoengine.configuration.AlgorithmConfiguration;
|
|
import org.gcube.dataanalysis.ecoengine.signals.PeriodicityDetector;
|
|
import org.gcube.dataanalysis.geo.matrixmodel.TimeSeriesExtractor;
|
|
|
|
public class RegressionLowPeriodicity {
|
|
|
|
static String cfg = "./cfg/";
|
|
public static void main(String[] args) throws Exception{
|
|
String layertitle = "c565e32c-c5b3-4964-b44f-06dc620563e9";
|
|
long t0 = System.currentTimeMillis();
|
|
AnalysisLogger.setLogger(cfg+AlgorithmConfiguration.defaultLoggerFile);
|
|
|
|
AlgorithmConfiguration config = new AlgorithmConfiguration();
|
|
config.setGcubeScope("/d4science.research-infrastructures.eu/gCubeApps/BiodiversityLab");
|
|
config.setConfigPath(cfg);
|
|
TimeSeriesExtractor intersector = new TimeSeriesExtractor(config);
|
|
double signal[] = intersector.extractT(layertitle, 0d, 0d,0d,0.5);
|
|
System.out.println("ELAPSED TIME: "+(System.currentTimeMillis()-t0));
|
|
|
|
System.out.println("Signal: "+signal.length);
|
|
|
|
PeriodicityDetector pd = new PeriodicityDetector();
|
|
double F = pd.detectFrequency(signal,true);
|
|
|
|
System.out.println("Detected Frequency:"+F+" indecision ["+pd.lowermeanF+" , "+pd.uppermeanF+"]");
|
|
System.out.println("Detected Period:"+pd.meanPeriod+" indecision ["+pd.lowermeanPeriod+" , "+pd.uppermeanPeriod+"]");
|
|
System.out.println("Detected Periodicity Strength:"+pd.periodicityStrength+":"+pd.getPeriodicityStregthInterpretation());
|
|
}
|
|
|
|
}
|