Mercurial > dive4elements > gnv-client

annotate gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 441:31a12ff53f99

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Added raster filter framework for "Profilschnitte" gnv-artifacts/trunk@489 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author Sascha L. Teichmann <sascha.teichmann@intevation.de>
date Tue, 29 Dec 2009 06:53:31 +0000
parents bed9735adf84
children 04cfb4e3da4f
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.geobackend.base.ResultDescriptor;
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29 import de.intevation.gnv.state.describedata.KeyValueDescibeData;
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30 import de.intevation.gnv.statistics.exception.StatisticsException;
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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
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52 /**
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53 * Constructor
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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, java.util.Collection, java.util.Collection, java.util.Collection)
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61 */
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62 public Collection<StatisticSet> calculateStatistics(
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63 Collection<Result> resultSet,
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64 Collection<KeyValueDescibeData> parameters,
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65 Collection<KeyValueDescibeData> measurements,
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66 Collection<KeyValueDescibeData> dates
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67 )
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68 throws StatisticsException {
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69
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70 clearStatistics();
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71 DescriptiveStatistics lStatistics = null;
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72 SimpleRegression lRegression = null;
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73 Collection<StatisticSet> statisticSets = new ArrayList<StatisticSet>();
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74 String break1, break2, break3;
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75 int lSeries = 1;
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76
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77 if (resultSet == null) {
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78 return statisticSets;
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79 }
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80
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81 int b1Idx = -1;
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82 int b2Idx = -1;
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83 int b3Idx = -1;
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84 int yIdx = -1;
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85 try {
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86
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87 Iterator<Result> resultIterator = resultSet.iterator();
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88 if (resultIterator.hasNext()) {
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89 Result row = resultIterator.next();
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90 Result previousRow = row;
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91
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92 if (b1Idx == -1) {
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93 ResultDescriptor rd = row.getResultDescriptor();
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94 b1Idx = rd.getColumnIndex("GROUP1");
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95 b2Idx = rd.getColumnIndex("GROUP2");
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96 b3Idx = rd.getColumnIndex("GROUP3");
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97 yIdx = rd.getColumnIndex("YORDINATE");
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98
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99 if (b1Idx == -1 || b2Idx == -1 || b3Idx == -1 || yIdx == -1) {
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100 return statisticSets;
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101 }
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102 }
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103 break1 = row.getString(b1Idx);
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104 break2 = row.getString(b2Idx);
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105 break3 = row.getString(b3Idx);
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106 lRegression = new SimpleRegression();
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107 lStatistics = new DescriptiveStatistics();
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108 while (resultIterator.hasNext()) {
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109
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110 if (!break1.equals(row.getString(b1Idx))
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111 || !break2.equals(row.getString(b2Idx))
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112 || !break3.equals(row.getString(b3Idx))
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113 ) {
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114 String statisticsName = generateStatisticsName(
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115 break1, break2,
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116 break3, parameters,
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117 measurements, dates);
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118
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119 statisticSets.add(
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120 generateStatisticsValues(
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121 lStatistics,
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122 lRegression,
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123 statisticsName));
171
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124
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125 lStatistics.clear();
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126 lRegression.clear();
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127
428
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128 clearStatistics();
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129
428
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130 Double yValue = row.getDouble(yIdx);
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131
428
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132 if (yValue != null) {
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133 lStatistics.addValue(yValue);
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134 Double x = calculateXOrdinateValue(previousRow,row);
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135 lRegression.addData(x, yValue);
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136 }
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137
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138 break1 = row.getString(b1Idx);
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139 break2 = row.getString(b2Idx);
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140 break3 = row.getString(b3Idx);
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141 previousRow = row;
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142 row = resultIterator.next();
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143 lSeries++;
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144 } else {
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145
428
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146 Double value = row.getDouble(yIdx);
416
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147 if (value != null) {
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148 lStatistics.addValue(value.doubleValue());
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149 Double x = calculateXOrdinateValue(previousRow,row);
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150 lRegression.addData(x, value.doubleValue());
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151 }
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152 previousRow = row;
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153 row = resultIterator.next();
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154 }
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155
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156 }
428
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157
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158 Double yValue = row.getDouble(yIdx);
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159
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160 if (yValue != null) {
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161 lStatistics.addValue(yValue);
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162 Double x = calculateXOrdinateValue(previousRow, row);
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163 lRegression.addData(x, yValue);
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164 }
359
59ad8f37a590 Issue96 Resloved big that one entry is missiing in the Statitic.
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165
428
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166 String statisticsName = generateStatisticsName(
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167 break1, break2,
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168 break3, parameters,
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169 measurements, dates);
253
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170
428
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171 statisticSets.add(generateStatisticsValues(
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172 lStatistics,
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173 lRegression,
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174 statisticsName));
171
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175 lStatistics.clear();
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176 lRegression.clear();
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177 }
171
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178 } catch (Exception e) {
95
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179 log.error(e.getMessage(), e);
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180 }
171
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181
253
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182 return statisticSets;
93
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183 }
171
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184
255
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185 protected void clearStatistics(){}
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186
253
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187 /**
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188 *
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189 * @param break1
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190 * @param break2
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191 * @param break3
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192 * @param parameters
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193 * @param measurements
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194 * @param dates
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195 * @return
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196 */
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197 protected String generateStatisticsName(String break1,
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198 String break2,
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199 String break3,
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200 Collection<KeyValueDescibeData> parameters,
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201 Collection<KeyValueDescibeData> measurements,
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202 Collection<KeyValueDescibeData> dates){
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203 log.debug("TimeseriesStatistics.generateStatisticsName");
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204 return this.findValueTitle(parameters,break1)+ " "+
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205 this.findValueTitle(measurements,break2) + "m";
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206 }
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207
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208
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209 protected String findValueTitle(Collection<KeyValueDescibeData> values,
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210 String id) {
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211 log.debug("TimeseriesStatistics.findValueTitle "+ id);
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212 if (values != null) {
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213 Iterator<KeyValueDescibeData> it = values.iterator();
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214 while (it.hasNext()) {
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215 KeyValueDescibeData data = it.next();
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diff changeset
216 if (id.equals(data.getKey())) {
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217 return data.getValue();
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218 }
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219 }
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220 }
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221 return "";
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222 }
255
5403452c06fc Added proper values for calculating the Statistics of VerticalProfiles and HorizontalProfiles issue86
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223 protected double calculateXOrdinateValue(Result previousRow, Result row) throws SQLException {
171
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diff changeset
224 return new Double((row.getDate("XORDINATE")).getTime() / 1000 / 3600);
98
156db25ad4b4 Add Statisticssupport also to VerticalProfiles
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diff changeset
225 }
171
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226
94
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diff changeset
227 /**
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228 * @param lStatistics
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229 * @param lRegression
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230 * @param lStats
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231 * @param lSeries
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diff changeset
232 */
253
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diff changeset
233 private StatisticSet generateStatisticsValues(DescriptiveStatistics lStatistics,
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234 SimpleRegression lRegression, String statisticName) {
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235
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236 StatisticSet statisticSet = new StatisticSet(statisticName);
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237
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238 statisticSet.addStatistic(new Statistic(
171
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diff changeset
239 "gnviewer.statistics.descriptive.arithmeticMean", lStatistics
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diff changeset
240 .getMean()));
253
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diff changeset
241 statisticSet.addStatistic(new Statistic(
171
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diff changeset
242 "gnviewer.statistics.descriptive.kurtosis", lStatistics
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diff changeset
243 .getKurtosis()));
253
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diff changeset
244 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.max",
171
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diff changeset
245 lStatistics.getMax()));
253
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diff changeset
246 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.min",
171
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diff changeset
247 lStatistics.getMin()));
253
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diff changeset
248 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.n",
171
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diff changeset
249 lStatistics.getN()));
253
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diff changeset
250 statisticSet.addStatistic(new Statistic(
171
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251 "gnviewer.statistics.descriptive.percentile.90", lStatistics
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252 .getPercentile(90)));
253
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253 statisticSet.addStatistic(new Statistic(
171
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254 "gnviewer.statistics.descriptive.percentile.75", lStatistics
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255 .getPercentile(75)));
253
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256 statisticSet.addStatistic(new Statistic(
171
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257 "gnviewer.statistics.descriptive.percentile.50", lStatistics
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258 .getPercentile(50)));
253
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259 statisticSet.addStatistic(new Statistic(
171
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260 "gnviewer.statistics.descriptive.percentile.10", lStatistics
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261 .getPercentile(10)));
253
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262 statisticSet.addStatistic(new Statistic(
171
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263 "gnviewer.statistics.descriptive.deviation", lStatistics
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264 .getStandardDeviation()));
253
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265 statisticSet.addStatistic(new Statistic(
171
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266 "gnviewer.statistics.descriptive.variance", lStatistics
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267 .getVariance()));
253
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268 statisticSet.addStatistic(new Statistic(
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269 "gnviewer.statistics.descriptive.intercept", lRegression
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270 .getIntercept()));
253
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271 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.slope",
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272 lRegression.getSlope()));
253
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273 return statisticSet;
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274 }
93
c476fbbaa4ca Imported Statistics-Classes from old Project. Revision: 3101 Does not compile
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275 }
http://dive4elements.wald.intevation.org