annotate gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 1081:846b2b70b2e0

Implemented histogram creation for vectorial timeseries. gnv-artifacts/trunk@1183 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author Ingo Weinzierl <ingo.weinzierl@intevation.de>
date Wed, 09 Jun 2010 09:51:05 +0000
parents dfd02f8d3602
children f953c9a559d8
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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 de.intevation.gnv.geobackend.base.Result;
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19 import de.intevation.gnv.geobackend.base.ResultDescriptor;
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20
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21 import de.intevation.gnv.state.describedata.KeyValueDescibeData;
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22
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23 import de.intevation.gnv.statistics.exception.StatisticsException;
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24
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25 import java.sql.SQLException;
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26
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27 import java.util.ArrayList;
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28 import java.util.Collection;
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29 import java.util.Iterator;
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30
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31 import org.apache.commons.math.stat.descriptive.DescriptiveStatistics;
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32
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33 import org.apache.commons.math.stat.regression.SimpleRegression;
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34
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35 import org.apache.log4j.Logger;
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36
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37 /**
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38 * This class is used to create a statistic in timeseries products.
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39 *
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40 * @author blume
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41 */
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42 public class TimeseriesStatistics
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43 extends AbstractStatistics
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44 {
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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
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51 /**
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52 * Constructor
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53 */
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54 public TimeseriesStatistics() {
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55 }
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56
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57
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58 public Collection<StatisticSet> calculateStatistics(
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59 Object result,
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60 Collection<KeyValueDescibeData> parameters,
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61 Collection<KeyValueDescibeData> measurements,
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62 Collection<KeyValueDescibeData> dates
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63 )
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64 throws StatisticsException {
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65
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66 if (!(result instanceof Collection)) {
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67 return new ArrayList<StatisticSet>();
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68 }
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69
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70 Collection<Result> resultSet = (Collection<Result>)result;
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71
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72 clearStatistics();
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73
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74 DescriptiveStatistics lStatistics = null;
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75 SimpleRegression lRegression = null;
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76 Collection<StatisticSet> statisticSets = new ArrayList<StatisticSet>();
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77 String break1, break2, break3;
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78 int lSeries = 1;
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79
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80 if (resultSet == null) {
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81 return statisticSets;
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82 }
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83
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84 int b1Idx = -1;
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85 int b2Idx = -1;
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86 int b3Idx = -1;
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87 int yIdx = -1;
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88 try {
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89
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90 Iterator<Result> resultIterator = resultSet.iterator();
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91 if (resultIterator.hasNext()) {
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92 Result row = resultIterator.next();
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93 Result previousRow = row;
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94
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95 if (b1Idx == -1) {
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96 ResultDescriptor rd = row.getResultDescriptor();
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97 b1Idx = rd.getColumnIndex("GROUP1");
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98 b2Idx = rd.getColumnIndex("GROUP2");
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99 b3Idx = rd.getColumnIndex("GROUP3");
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100 yIdx = rd.getColumnIndex("YORDINATE");
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101
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102 if (b1Idx == -1 || b2Idx == -1 || b3Idx == -1 || yIdx == -1) {
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103 return statisticSets;
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104 }
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105 }
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106 break1 = row.getString(b1Idx);
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107 break2 = row.getString(b2Idx);
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108 break3 = row.getString(b3Idx);
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109 lRegression = new SimpleRegression();
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110 lStatistics = new DescriptiveStatistics();
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111 while (resultIterator.hasNext()) {
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112
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113 if (!break1.equals(row.getString(b1Idx))
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114 || !break2.equals(row.getString(b2Idx))
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115 || !break3.equals(row.getString(b3Idx))
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116 ) {
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117 String statisticsName = generateStatisticsName(
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118 break1, break2,
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119 break3, parameters,
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120 measurements, dates);
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121
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122 statisticSets.add(
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123 generateStatisticsValues(
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124 lStatistics,
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125 lRegression,
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126 statisticsName));
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127
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128 lStatistics.clear();
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129 lRegression.clear();
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130
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131 clearStatistics();
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132
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133 Double yValue = row.getDouble(yIdx);
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134
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135 if (yValue != null) {
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136 lStatistics.addValue(yValue);
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137 Double x = calculateXOrdinateValue(previousRow,row);
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138 lRegression.addData(x, yValue);
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139 }
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140
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141 break1 = row.getString(b1Idx);
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142 break2 = row.getString(b2Idx);
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143 break3 = row.getString(b3Idx);
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144 previousRow = row;
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145 row = resultIterator.next();
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146 lSeries++;
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147 } else {
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148
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149 Double value = row.getDouble(yIdx);
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150 if (value != null) {
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151 lStatistics.addValue(value.doubleValue());
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152 Double x = calculateXOrdinateValue(previousRow,row);
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153 lRegression.addData(x, value.doubleValue());
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154 }
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155 previousRow = row;
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156 row = resultIterator.next();
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157 }
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158
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159 }
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160
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161 Double yValue = row.getDouble(yIdx);
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162
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163 if (yValue != null) {
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164 lStatistics.addValue(yValue);
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165 Double x = calculateXOrdinateValue(previousRow, row);
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166 lRegression.addData(x, yValue);
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167 }
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168
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169 String statisticsName = generateStatisticsName(
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170 break1, break2,
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171 break3, parameters,
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172 measurements, dates);
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173
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174 statisticSets.add(generateStatisticsValues(
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175 lStatistics,
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176 lRegression,
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177 statisticsName));
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178 lStatistics.clear();
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179 lRegression.clear();
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180 }
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181 } catch (Exception e) {
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182 log.error(e.getMessage(), e);
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183 }
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184
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185 return statisticSets;
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186 }
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187
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188 /**
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189 * Nothing is done here.
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190 */
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191 protected void clearStatistics(){}
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192
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193
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194 protected String generateStatisticsName(String break1,
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195 String break2,
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196 String break3,
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197 Collection<KeyValueDescibeData> parameters,
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198 Collection<KeyValueDescibeData> measurements,
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199 Collection<KeyValueDescibeData> dates){
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200 log.debug("TimeseriesStatistics.generateStatisticsName");
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201 return this.findValueTitle(parameters,break1)+ " "+
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202 this.findValueTitle(measurements,break2) + "m";
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203 }
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204
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205
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206 protected String findValueTitle(Collection<KeyValueDescibeData> values,
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207 String id) {
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208 log.debug("TimeseriesStatistics.findValueTitle "+ id);
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209 if (values != null) {
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210 Iterator<KeyValueDescibeData> it = values.iterator();
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211 while (it.hasNext()) {
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diff changeset
212 KeyValueDescibeData data = it.next();
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diff changeset
213 if (id.equals(data.getKey())) {
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diff changeset
214 return data.getValue();
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215 }
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216 }
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217 }
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218 return "";
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219 }
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220
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221
836
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222 protected double calculateXOrdinateValue(Result previousRow, Result row) throws SQLException {
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diff changeset
223 return new Double((row.getDate("XORDINATE")).getTime() / 1000 / 3600);
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224 }
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225 }
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diff changeset
226 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 :

http://dive4elements.wald.intevation.org