view gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 187:92a43d90a0b8

Adding 5% bigger Valuearea to the Chart according to GT0030.011 gnv-artifacts/trunk@231 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author Tim Englich <tim.englich@intevation.de>
date Fri, 16 Oct 2009 13:05:40 +0000
parents 7fb9441dd8af
children 07650fc6014c
line wrap: on
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/**
 * 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.sql.SQLException;
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();
    }

    /**
     * @see de.intevation.gnv.statistics.Statistics#calculateStatistics(java.util.Collection)
     */
    public Collection<Statistic> calculateStatistics(
                                                     Collection<Result> resultSet)
                                                                                  throws StatisticsException {
        DescriptiveStatistics lStatistics = null;
        SimpleRegression lRegression = null;
        statistics = new ArrayList<Statistic>();
        String break1, break2;
        int lSeries = 1;
        try {

            Iterator<Result> resultIterator = resultSet.iterator();
            if (resultIterator.hasNext()) {
                Result row = resultIterator.next();
                break1 = row.getString("GROUP1");
                break2 = row.getString("GROUP2");
                lRegression = new SimpleRegression();
                lStatistics = DescriptiveStatistics.newInstance();
                while (resultIterator.hasNext()) {

                    if (!break1.equals(row.getString("GROUP1"))
                        || !break2.equals(row.getString("GROUP2"))) {
                        addStatisticsValues(lStatistics, lRegression, lSeries);

                        lStatistics.clear();
                        lRegression.clear();

                        lStatistics.addValue(row.getDouble("YORDINATE"));
                        Double x = this.calculateXOrdinateValue(row);
                        lRegression.addData(x, row.getDouble("YORDINATE"));

                        break1 = row.getString("GROUP1");
                        break2 = row.getString("GROUP2");
                        row = resultIterator.next();
                        lSeries++;
                    } else {

                        lStatistics.addValue(row.getDouble("YORDINATE"));
                        Double x = this.calculateXOrdinateValue(row);
                        lRegression.addData(x, row.getDouble("YORDINATE"));
                        row = resultIterator.next();
                    }

                }
                addStatisticsValues(lStatistics, lRegression, lSeries);
                lStatistics.clear();
                lRegression.clear();
            }
        } catch (Exception e) {
            log.error(e.getMessage(), e);
        }

        return statistics;
    }

    protected double calculateXOrdinateValue(Result row) throws SQLException {
        return new Double((row.getDate("XORDINATE")).getTime() / 1000 / 3600);
    }

    /**
     * @param lStatistics
     * @param lRegression
     * @param lStats
     * @param lSeries
     */
    private void addStatisticsValues(DescriptiveStatistics lStatistics,
                                     SimpleRegression lRegression, int lSeries) {
        statistics.add(new Statistic("gnviewer.statistics.series",
                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()));
    }
}

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