Mercurial > dive4elements > gnv-client

annotate gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 216:9db263ee2678

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Added Workflow for determining the Query-Parameters for Horizontal cross-sections. gnv-artifacts/trunk@274 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author Tim Englich <tim.englich@intevation.de>
date Wed, 28 Oct 2009 16:26:03 +0000
parents 7fb9441dd8af
children 07650fc6014c
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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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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30 /**
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31 * The class <code>TimeseriesStatistics</code> fulfills the following purposes:
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32 * <ol>
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33 * <li></li>
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34 * </ol>
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35 *
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36 * @author blume
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37 * @author Tim Englich <tim.englich@intevation.de>
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38 * @version 1.0
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39 * @serial 1.0
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40 * @see
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41 * @since 06.12.2007 18:02:27
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42 */
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43 public class TimeseriesStatistics implements Statistics {
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44
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45 /**
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46 * Default Logging instance
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47 */
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48 private static Logger log = Logger.getLogger(TimeseriesStatistics.class);
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49 private static boolean sDebug = log.isDebugEnabled();
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50
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51 private Collection<Statistic> statistics = null;
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52
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53 public TimeseriesStatistics() {
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54 super();
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55 }
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56
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57 /**
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58 * @see de.intevation.gnv.statistics.Statistics#calculateStatistics(java.util.Collection)
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59 */
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60 public Collection<Statistic> calculateStatistics(
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61 Collection<Result> resultSet)
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62 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 } else {
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95
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96 lStatistics.addValue(row.getDouble("YORDINATE"));
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97 Double x = this.calculateXOrdinateValue(row);
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98 lRegression.addData(x, row.getDouble("YORDINATE"));
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99 row = resultIterator.next();
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100 }
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101
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102 }
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103 addStatisticsValues(lStatistics, lRegression, lSeries);
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104 lStatistics.clear();
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105 lRegression.clear();
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106 }
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107 } catch (Exception e) {
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108 log.error(e.getMessage(), e);
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109 }
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110
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111 return statistics;
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112 }
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113
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114 protected double calculateXOrdinateValue(Result row) throws SQLException {
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115 return new Double((row.getDate("XORDINATE")).getTime() / 1000 / 3600);
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116 }
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117
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118 /**
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119 * @param lStatistics
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120 * @param lRegression
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121 * @param lStats
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122 * @param lSeries
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123 */
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124 private void addStatisticsValues(DescriptiveStatistics lStatistics,
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125 SimpleRegression lRegression, int lSeries) {
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126 statistics.add(new Statistic("gnviewer.statistics.series",
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127 lSeries));
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128 statistics.add(new Statistic(
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129 "gnviewer.statistics.descriptive.arithmeticMean", lStatistics
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130 .getMean()));
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131 statistics.add(new Statistic(
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132 "gnviewer.statistics.descriptive.kurtosis", lStatistics
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133 .getKurtosis()));
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134 statistics.add(new Statistic("gnviewer.statistics.descriptive.max",
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135 lStatistics.getMax()));
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136 statistics.add(new Statistic("gnviewer.statistics.descriptive.min",
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137 lStatistics.getMin()));
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138 statistics.add(new Statistic("gnviewer.statistics.descriptive.n",
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139 lStatistics.getN()));
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140 statistics.add(new Statistic(
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141 "gnviewer.statistics.descriptive.percentile.90", lStatistics
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142 .getPercentile(90)));
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143 statistics.add(new Statistic(
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144 "gnviewer.statistics.descriptive.percentile.75", lStatistics
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145 .getPercentile(75)));
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146 statistics.add(new Statistic(
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147 "gnviewer.statistics.descriptive.percentile.50", lStatistics
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148 .getPercentile(50)));
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149 statistics.add(new Statistic(
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150 "gnviewer.statistics.descriptive.percentile.10", lStatistics
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151 .getPercentile(10)));
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152 statistics.add(new Statistic(
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153 "gnviewer.statistics.descriptive.deviation", lStatistics
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154 .getStandardDeviation()));
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155 statistics.add(new Statistic(
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156 "gnviewer.statistics.descriptive.variance", lStatistics
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157 .getVariance()));
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158 statistics.add(new Statistic(
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159 "gnviewer.statistics.descriptive.intercept", lRegression
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160 .getIntercept()));
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161 statistics.add(new Statistic("gnviewer.statistics.descriptive.slope",
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162 lRegression.getSlope()));
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163 }
93
c476fbbaa4ca Imported Statistics-Classes from old Project. Revision: 3101 Does not compile
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164 }
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