Mercurial > dive4elements > gnv-client
annotate gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 120:5134266f00e7
Resolved gnv/issue21 No NPE will be thrown.
Add Dummydata for Calculating the distance between two MeasurmentPoints.
gnv-artifacts/trunk@190 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Tim Englich <tim.englich@intevation.de> |
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date | Tue, 06 Oct 2009 10:58:47 +0000 |
parents | 158e89c2263b |
children | 7fb9441dd8af |
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.sql.SQLException; |
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19 import java.util.ArrayList; |
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20 import java.util.Collection; |
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21 import java.util.Iterator; |
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22 |
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23 import org.apache.commons.math.stat.descriptive.DescriptiveStatistics; |
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24 import org.apache.commons.math.stat.regression.SimpleRegression; |
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25 import org.apache.log4j.Logger; |
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26 |
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27 import de.intevation.gnv.geobackend.base.Result; |
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28 import de.intevation.gnv.statistics.exception.StatisticsException; |
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29 |
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30 |
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31 |
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32 /** |
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33 * The class <code>TimeseriesStatistics</code> fulfills the following purposes: |
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34 * <ol> |
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35 * <li></li> |
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36 * </ol> |
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37 * |
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38 * @author blume |
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39 * @author Tim Englich <tim.englich@intevation.de> |
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40 * @version 1.0 |
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41 * @serial 1.0 |
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42 * @see |
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43 * @since 06.12.2007 18:02:27 |
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44 */ |
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45 public class TimeseriesStatistics implements Statistics { |
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46 |
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47 /** |
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48 * Default Logging instance |
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49 */ |
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50 private static Logger log = Logger.getLogger(TimeseriesStatistics.class); |
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51 private static boolean sDebug = log.isDebugEnabled(); |
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52 |
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53 private Collection<Statistic> statistics = null; |
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54 |
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55 public TimeseriesStatistics(){ |
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56 super(); |
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57 } |
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58 |
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59 /** |
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60 * @see de.intevation.gnv.statistics.Statistics#calculateStatistics(java.util.Collection) |
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61 */ |
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62 public Collection<Statistic> calculateStatistics(Collection<Result> resultSet) throws StatisticsException { |
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63 DescriptiveStatistics lStatistics = null; |
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64 SimpleRegression lRegression = null; |
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65 statistics = new ArrayList<Statistic>(); |
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66 String break1, break2; |
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67 int lSeries = 1; |
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68 try{ |
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69 |
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70 Iterator<Result> resultIterator = resultSet.iterator(); |
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71 if (resultIterator.hasNext()){ |
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72 Result row = resultIterator.next(); |
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73 break1 = row.getString("GROUP1"); |
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74 break2 = row.getString("GROUP2"); |
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75 lRegression = new SimpleRegression(); |
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76 lStatistics = DescriptiveStatistics.newInstance(); |
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77 while (resultIterator.hasNext()) { |
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78 |
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79 if (!break1.equals(row.getString("GROUP1")) |
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80 || !break2.equals(row.getString("GROUP2"))) { |
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81 addStatisticsValues(lStatistics, lRegression, lSeries); |
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82 |
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83 lStatistics.clear(); |
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84 lRegression.clear(); |
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85 |
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86 lStatistics.addValue(row.getDouble("YORDINATE")); |
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87 Double x = this.calculateXOrdinateValue(row); |
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88 lRegression.addData(x ,row.getDouble("YORDINATE")); |
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89 |
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90 break1 = row.getString("GROUP1"); |
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91 break2 = row.getString("GROUP2"); |
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92 row = resultIterator.next(); |
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93 lSeries ++; |
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94 } |
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95 else{ |
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96 |
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97 lStatistics.addValue(row.getDouble("YORDINATE")); |
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98 Double x = this.calculateXOrdinateValue(row); |
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99 lRegression.addData(x,row.getDouble("YORDINATE")); |
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100 row = resultIterator.next(); |
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101 } |
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102 |
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103 } |
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104 addStatisticsValues(lStatistics, lRegression,lSeries); |
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105 lStatistics.clear(); |
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106 lRegression.clear(); |
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107 } |
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108 } |
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109 catch (Exception e){ |
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110 log.error(e.getMessage(), e); |
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111 } |
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112 |
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113 return statistics; |
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114 } |
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115 |
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116 |
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117 protected double calculateXOrdinateValue(Result row) throws SQLException{ |
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118 return new Double( (row.getDate("XORDINATE")).getTime()/1000/3600) ; |
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119 } |
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120 |
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121 |
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122 /** |
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123 * @param lStatistics |
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124 * @param lRegression |
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125 * @param lStats |
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126 * @param lSeries |
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127 */ |
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128 private void addStatisticsValues(DescriptiveStatistics lStatistics, |
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129 SimpleRegression lRegression, int lSeries) { |
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130 statistics.add(new Statistic("gnviewer.statistics.series",(double)lSeries)); |
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131 statistics.add(new Statistic("gnviewer.statistics.descriptive.arithmeticMean", lStatistics.getMean())); |
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132 statistics.add(new Statistic("gnviewer.statistics.descriptive.kurtosis", lStatistics.getKurtosis())); |
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133 statistics.add(new Statistic("gnviewer.statistics.descriptive.max", lStatistics.getMax())); |
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134 statistics.add(new Statistic("gnviewer.statistics.descriptive.min", lStatistics.getMin())); |
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135 statistics.add(new Statistic("gnviewer.statistics.descriptive.n", lStatistics.getN())); |
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136 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.90", lStatistics.getPercentile(90))); |
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137 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.75", lStatistics.getPercentile(75))); |
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138 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.50", lStatistics.getPercentile(50))); |
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139 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.10", lStatistics.getPercentile(10))); |
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140 statistics.add(new Statistic("gnviewer.statistics.descriptive.deviation", lStatistics.getStandardDeviation())); |
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141 statistics.add(new Statistic("gnviewer.statistics.descriptive.variance", lStatistics.getVariance())); |
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142 statistics.add(new Statistic("gnviewer.statistics.descriptive.intercept", lRegression.getIntercept())); |
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143 statistics.add(new Statistic("gnviewer.statistics.descriptive.slope", lRegression.getSlope())); |
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144 } |
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145 } |