Mercurial > dive4elements > gnv-client
view gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 96:4241af6ae374
Changed the Output-format of Statistics from text/plain to text/xml.
gnv-artifacts/trunk@141 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Tim Englich <tim.englich@intevation.de> |
---|---|
date | Mon, 28 Sep 2009 08:23:40 +0000 |
parents | 13402ac8d8fe |
children | fce237b6fdb8 |
line wrap: on
line source
/** * Title: TimeseriesStatistics, $Header: /share/gdi/SDI-Suite/Repository/projekte/BSH-GDI/genericViewer/src/main/java/de/conterra/bsh/gdi/gnviewer/output/statistics/TimeseriesStatistics.java,v 1.3 2008/08/18 14:50:33 drewnak Exp $ * Source: $Source: /share/gdi/SDI-Suite/Repository/projekte/BSH-GDI/genericViewer/src/main/java/de/conterra/bsh/gdi/gnviewer/output/statistics/TimeseriesStatistics.java,v $ * created by: Stefan Blume (blume) * erstellt am: 06.12.2007 * Copyright: con terra GmbH, 2005 * * modified by: $Author: drewnak $ * modified on: $Date: 2008/08/18 14:50:33 $ * Version: $Revision: 1.3 $ * TAG: $Name: $ * locked from: $Locker: $ * CVS State: $State: Exp $ * Project: $ProjectName$ */ package de.intevation.gnv.statistics; import java.util.ArrayList; import java.util.Collection; import java.util.Iterator; import org.apache.commons.math.stat.descriptive.DescriptiveStatistics; import org.apache.commons.math.stat.regression.SimpleRegression; import org.apache.log4j.Logger; import de.intevation.gnv.geobackend.base.Result; import de.intevation.gnv.statistics.exception.StatisticsException; /** * The class <code>TimeseriesStatistics</code> fulfills the following purposes: * <ol> * <li></li> * </ol> * * @author blume * @author Tim Englich <tim.englich@intevation.de> * @version 1.0 * @serial 1.0 * @see * @since 06.12.2007 18:02:27 */ public class TimeseriesStatistics implements Statistics { /** * Default Logging instance */ private static Logger log = Logger.getLogger(TimeseriesStatistics.class); private static boolean sDebug = log.isDebugEnabled(); private Collection<Statistic> statistics = null; public TimeseriesStatistics(){ super(); } public Collection<Statistic> calculateStatistics(Collection<Result> resultSet) throws StatisticsException { DescriptiveStatistics lStatistics = null; SimpleRegression lRegression = null; statistics = new ArrayList<Statistic>(); int break1, break2; int lSeries = 1; if (sDebug) log.debug("TimeseriesStatistics() lImageFile != null"); try{ Iterator<Result> resultIterator = resultSet.iterator(); if (resultIterator.hasNext()){ Result row = resultIterator.next(); break1 = row.getInteger("GROUP1"); break2 = row.getInteger("GROUP2"); lRegression = new SimpleRegression(); lStatistics = DescriptiveStatistics.newInstance(); while (resultIterator.hasNext()) { if (break1 != row.getInteger("GROUP1") || break2 != row.getInteger("GROUP2")) { addStatisticsValues(lStatistics, lRegression, lSeries); lStatistics.clear(); lRegression.clear(); row = resultIterator.next(); lStatistics.addValue(row.getDouble("YORDINATE")); Double x = new Double( (row.getDate("XORDINATE")).getTime()/1000/3600) ; lRegression.addData(x ,row.getDouble("YORDINATE")); break1 = row.getInteger("GROUP1"); break2 = row.getInteger("GROUP2"); lSeries ++; } else{ row = resultIterator.next(); lStatistics.addValue(row.getDouble("YORDINATE")); Double x = new Double( (row.getDate("XORDINATE")).getTime()/1000/3600) ; lRegression.addData(x,row.getDouble("YORDINATE")); } } addStatisticsValues(lStatistics, lRegression,lSeries); lStatistics.clear(); lRegression.clear(); } } catch (Exception e){ log.error(e.getMessage(), e); } return statistics; } /** * @param lStatistics * @param lRegression * @param lStats * @param lSeries */ private void addStatisticsValues(DescriptiveStatistics lStatistics, SimpleRegression lRegression, int lSeries) { statistics.add(new Statistic("gnviewer.statistics.series",(double)lSeries)); statistics.add(new Statistic("gnviewer.statistics.descriptive.arithmeticMean", lStatistics.getMean())); statistics.add(new Statistic("gnviewer.statistics.descriptive.kurtosis", lStatistics.getKurtosis())); statistics.add(new Statistic("gnviewer.statistics.descriptive.max", lStatistics.getMax())); statistics.add(new Statistic("gnviewer.statistics.descriptive.min", lStatistics.getMin())); statistics.add(new Statistic("gnviewer.statistics.descriptive.n", lStatistics.getN())); statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.90", lStatistics.getPercentile(90))); statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.75", lStatistics.getPercentile(75))); statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.50", lStatistics.getPercentile(50))); statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.10", lStatistics.getPercentile(10))); statistics.add(new Statistic("gnviewer.statistics.descriptive.deviation", lStatistics.getStandardDeviation())); statistics.add(new Statistic("gnviewer.statistics.descriptive.variance", lStatistics.getVariance())); statistics.add(new Statistic("gnviewer.statistics.descriptive.intercept", lRegression.getIntercept())); statistics.add(new Statistic("gnviewer.statistics.descriptive.slope", lRegression.getSlope())); } }