Mercurial > dive4elements > gnv-client
annotate gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 97:fce237b6fdb8
Bug fixed. Now all Values will be used to calculate the Statistics
gnv-artifacts/trunk@143 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Tim Englich <tim.englich@intevation.de> |
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date | Mon, 28 Sep 2009 09:53:17 +0000 |
parents | 13402ac8d8fe |
children | 156db25ad4b4 |
rev | line source |
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1 /** |
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2 * 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 $ |
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3 * Source: $Source: /share/gdi/SDI-Suite/Repository/projekte/BSH-GDI/genericViewer/src/main/java/de/conterra/bsh/gdi/gnviewer/output/statistics/TimeseriesStatistics.java,v $ |
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4 * created by: Stefan Blume (blume) |
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5 * erstellt am: 06.12.2007 |
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6 * Copyright: con terra GmbH, 2005 |
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7 * |
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8 * modified by: $Author: drewnak $ |
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9 * modified on: $Date: 2008/08/18 14:50:33 $ |
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10 * Version: $Revision: 1.3 $ |
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11 * TAG: $Name: $ |
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12 * locked from: $Locker: $ |
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13 * CVS State: $State: Exp $ |
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14 * Project: $ProjectName$ |
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15 */ |
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16 package de.intevation.gnv.statistics; |
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17 |
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18 import java.util.ArrayList; |
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19 import java.util.Collection; |
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20 import java.util.Iterator; |
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21 |
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22 import org.apache.commons.math.stat.descriptive.DescriptiveStatistics; |
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23 import org.apache.commons.math.stat.regression.SimpleRegression; |
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24 import org.apache.log4j.Logger; |
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25 |
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26 import de.intevation.gnv.geobackend.base.Result; |
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27 import de.intevation.gnv.statistics.exception.StatisticsException; |
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28 |
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29 |
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30 |
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31 /** |
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32 * The class <code>TimeseriesStatistics</code> fulfills the following purposes: |
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33 * <ol> |
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34 * <li></li> |
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35 * </ol> |
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36 * |
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37 * @author blume |
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38 * @author Tim Englich <tim.englich@intevation.de> |
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39 * @version 1.0 |
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40 * @serial 1.0 |
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41 * @see |
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42 * @since 06.12.2007 18:02:27 |
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43 */ |
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44 public class TimeseriesStatistics implements Statistics { |
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45 |
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46 /** |
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47 * Default Logging instance |
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48 */ |
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49 private static Logger log = Logger.getLogger(TimeseriesStatistics.class); |
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50 private static boolean sDebug = log.isDebugEnabled(); |
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51 |
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52 private Collection<Statistic> statistics = null; |
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53 |
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54 public TimeseriesStatistics(){ |
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55 super(); |
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56 } |
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57 |
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58 public Collection<Statistic> calculateStatistics(Collection<Result> resultSet) throws StatisticsException { |
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59 DescriptiveStatistics lStatistics = null; |
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60 SimpleRegression lRegression = null; |
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61 statistics = new ArrayList<Statistic>(); |
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62 int break1, break2; |
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63 int lSeries = 1; |
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64 try{ |
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65 |
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66 Iterator<Result> resultIterator = resultSet.iterator(); |
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67 if (resultIterator.hasNext()){ |
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68 Result row = resultIterator.next(); |
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69 break1 = row.getInteger("GROUP1"); |
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70 break2 = row.getInteger("GROUP2"); |
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71 lRegression = new SimpleRegression(); |
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72 lStatistics = DescriptiveStatistics.newInstance(); |
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73 while (resultIterator.hasNext()) { |
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74 |
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75 if (break1 != row.getInteger("GROUP1") |
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76 || break2 != row.getInteger("GROUP2")) { |
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77 addStatisticsValues(lStatistics, lRegression, lSeries); |
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78 |
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79 lStatistics.clear(); |
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80 lRegression.clear(); |
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81 |
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82 lStatistics.addValue(row.getDouble("YORDINATE")); |
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83 Double x = new Double( (row.getDate("XORDINATE")).getTime()/1000/3600) ; |
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84 lRegression.addData(x ,row.getDouble("YORDINATE")); |
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85 |
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86 break1 = row.getInteger("GROUP1"); |
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87 break2 = row.getInteger("GROUP2"); |
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88 row = resultIterator.next(); |
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89 lSeries ++; |
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90 } |
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91 else{ |
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92 |
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93 lStatistics.addValue(row.getDouble("YORDINATE")); |
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94 Double x = new Double( (row.getDate("XORDINATE")).getTime()/1000/3600) ; |
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95 lRegression.addData(x,row.getDouble("YORDINATE")); |
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96 row = resultIterator.next(); |
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97 } |
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98 |
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99 } |
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100 addStatisticsValues(lStatistics, lRegression,lSeries); |
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101 lStatistics.clear(); |
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102 lRegression.clear(); |
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103 } |
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104 } |
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105 catch (Exception e){ |
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106 log.error(e.getMessage(), e); |
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107 } |
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108 |
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109 return statistics; |
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110 } |
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111 |
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112 /** |
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113 * @param lStatistics |
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114 * @param lRegression |
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115 * @param lStats |
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116 * @param lSeries |
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117 */ |
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118 private void addStatisticsValues(DescriptiveStatistics lStatistics, |
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119 SimpleRegression lRegression, int lSeries) { |
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120 statistics.add(new Statistic("gnviewer.statistics.series",(double)lSeries)); |
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121 statistics.add(new Statistic("gnviewer.statistics.descriptive.arithmeticMean", lStatistics.getMean())); |
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122 statistics.add(new Statistic("gnviewer.statistics.descriptive.kurtosis", lStatistics.getKurtosis())); |
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123 statistics.add(new Statistic("gnviewer.statistics.descriptive.max", lStatistics.getMax())); |
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124 statistics.add(new Statistic("gnviewer.statistics.descriptive.min", lStatistics.getMin())); |
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125 statistics.add(new Statistic("gnviewer.statistics.descriptive.n", lStatistics.getN())); |
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126 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.90", lStatistics.getPercentile(90))); |
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127 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.75", lStatistics.getPercentile(75))); |
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128 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.50", lStatistics.getPercentile(50))); |
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129 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.10", lStatistics.getPercentile(10))); |
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130 statistics.add(new Statistic("gnviewer.statistics.descriptive.deviation", lStatistics.getStandardDeviation())); |
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131 statistics.add(new Statistic("gnviewer.statistics.descriptive.variance", lStatistics.getVariance())); |
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132 statistics.add(new Statistic("gnviewer.statistics.descriptive.intercept", lRegression.getIntercept())); |
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133 statistics.add(new Statistic("gnviewer.statistics.descriptive.slope", lRegression.getSlope())); |
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134 } |
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135 } |