92 lines
3.4 KiB
Java
92 lines
3.4 KiB
Java
package org.gcube.dataanalysis.geo.test;
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import java.io.BufferedReader;
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import java.io.BufferedWriter;
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import java.io.File;
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import java.io.FileReader;
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import java.io.FileWriter;
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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.ecoengine.signals.SignalProcessing;
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import org.gcube.dataanalysis.geo.matrixmodel.MatrixExtractor;
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import org.gcube.dataanalysis.geo.matrixmodel.TimeSeriesExtractor;
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public class TestGeoTiff {
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static String cfg = "./cfg/";
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public static void main(String[] args) throws Exception{
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String layertitle = "WorldClimBioWCS2";
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long t0 = System.currentTimeMillis();
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AnalysisLogger.setLogger(cfg+AlgorithmConfiguration.defaultLoggerFile);
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AlgorithmConfiguration config = new AlgorithmConfiguration();
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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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// intersector.takeTimeSlice(layertitle, 0, -180, 180, -10, 10, 0, 1, 1);
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// intersector.takeTimeSlice(layertitle, 0, -10, 10, -10, 10, 0,1, 1);
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// intersector.takeTimeInstantMatrix(layertitle, 0, -180, 180, -90, 90, 0, 0.5, 0.5);
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double signal[] = intersector.extractT(layertitle, 0d, 0d,0d,0.5);
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// SignalProcessing.displaySignalWithGenericTime(signal, 0, 1, "signal");
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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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BufferedWriter bw = new BufferedWriter(new FileWriter(new File("signal.txt")));
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for (double si: signal){
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bw.write(si+",");
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}
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bw.close();
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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+" "+pd.getPeriodicityStregthInterpretation());
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}
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public static void main1(String[] args) throws Exception{
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takeSignal();
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}
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public static void takeSignal() throws Exception{
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BufferedReader br = new BufferedReader(new FileReader(new File("signal.txt")));
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String line = br.readLine();
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double[] signal = null;
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while (line!=null){
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String [] el = line.split(",");
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signal=new double[el.length];
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int i=0;
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for (String e:el){
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signal[i]=Double.parseDouble(e);
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i++;
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}
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line = null;
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}
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br.close();
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// SignalProcessing.displaySignalWithGenericTime(signal, 0, 1, "signal");
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PeriodicityDetector pd = new PeriodicityDetector();
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// signal = pd.produceNoisySignal(2000, 1, 0.1f, 0f);
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//float freq=1;//signal.length;
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// double F = pd.detectFrequency(signal, (int)freq, 0, freq, 1f,true);
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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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