Mercurial > dive4elements > gnv-client

annotate gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 428:88cd37c3b5e4

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Adjusted sql queries and configuration for verticalcrosssection products. Some code refactoring and improved error handling. gnv-artifacts/trunk@476 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author Ingo Weinzierl <ingo.weinzierl@intevation.de>
date Tue, 22 Dec 2009 13:18:07 +0000
parents 04a242c67fe6
children bed9735adf84
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 this.clearStatistics();
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70 DescriptiveStatistics lStatistics = null;
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71 SimpleRegression lRegression = null;
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72 Collection<StatisticSet> statisticSets = new ArrayList<StatisticSet>();
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73 String break1, break2, break3;
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74 int lSeries = 1;
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75
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76 int b1Idx = -1;
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77 int b2Idx = -1;
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78 int b3Idx = -1;
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79 int yIdx = -1;
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80 try {
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81
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82 Iterator<Result> resultIterator = resultSet.iterator();
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83 if (resultIterator.hasNext()) {
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84 Result row = resultIterator.next();
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85 Result previousRow = row;
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86
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87 if (b1Idx == -1) {
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88 ResultDescriptor rd = row.getResultDescriptor();
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89 b1Idx = rd.getColumnIndex("GROUP1");
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90 b2Idx = rd.getColumnIndex("GROUP2");
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91 b3Idx = rd.getColumnIndex("GROUP3");
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92 yIdx = rd.getColumnIndex("YORDINATE");
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93
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94 if (b1Idx == -1 || b2Idx == -1 || b3Idx == -1 || yIdx == -1) {
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95 return statisticSets;
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96 }
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97 }
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98 break1 = row.getString(b1Idx);
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99 break2 = row.getString(b2Idx);
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100 break3 = row.getString(b3Idx);
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101 lRegression = new SimpleRegression();
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102 lStatistics = new DescriptiveStatistics();
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103 while (resultIterator.hasNext()) {
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104
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105 if (!break1.equals(row.getString(b1Idx))
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106 || !break2.equals(row.getString(b2Idx))
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107 || !break3.equals(row.getString(b3Idx))
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108 ) {
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109 String statisticsName = generateStatisticsName(
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110 break1, break2,
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111 break3, parameters,
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112 measurements, dates);
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113
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114 statisticSets.add(
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115 generateStatisticsValues(
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116 lStatistics,
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117 lRegression,
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118 statisticsName));
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119
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120 lStatistics.clear();
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121 lRegression.clear();
255
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122
428
88cd37c3b5e4 Adjusted sql queries and configuration for verticalcrosssection products. Some code refactoring and improved error handling.
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123 clearStatistics();
171
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124
428
88cd37c3b5e4 Adjusted sql queries and configuration for verticalcrosssection products. Some code refactoring and improved error handling.
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125 Double yValue = row.getDouble(yIdx);
171
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126
428
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127 if (yValue != null) {
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128 lStatistics.addValue(yValue);
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129 Double x = calculateXOrdinateValue(previousRow,row);
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130 lRegression.addData(x, yValue);
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131 }
88cd37c3b5e4 Adjusted sql queries and configuration for verticalcrosssection products. Some code refactoring and improved error handling.
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132
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133 break1 = row.getString(b1Idx);
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diff changeset
134 break2 = row.getString(b2Idx);
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135 break3 = row.getString(b3Idx);
255
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136 previousRow = row;
171
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137 row = resultIterator.next();
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138 lSeries++;
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139 } else {
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140
428
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141 Double value = row.getDouble(yIdx);
416
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142 if (value != null) {
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143 lStatistics.addValue(value.doubleValue());
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144 Double x = calculateXOrdinateValue(previousRow,row);
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145 lRegression.addData(x, value.doubleValue());
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146 }
255
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147 previousRow = row;
171
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148 row = resultIterator.next();
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149 }
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150
94
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151 }
428
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152
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153 Double yValue = row.getDouble(yIdx);
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154
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155 if (yValue != null) {
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156 lStatistics.addValue(yValue);
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157 Double x = calculateXOrdinateValue(previousRow, row);
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158 lRegression.addData(x, yValue);
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159 }
359
59ad8f37a590 Issue96 Resloved big that one entry is missiing in the Statitic.
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160
428
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161 String statisticsName = generateStatisticsName(
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162 break1, break2,
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163 break3, parameters,
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diff changeset
164 measurements, dates);
253
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165
428
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166 statisticSets.add(generateStatisticsValues(
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167 lStatistics,
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168 lRegression,
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diff changeset
169 statisticsName));
171
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170 lStatistics.clear();
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171 lRegression.clear();
94
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diff changeset
172 }
171
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diff changeset
173 } catch (Exception e) {
95
13402ac8d8fe Put the Statisticscalulation to the Outmethod of the OutputTransition.
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174 log.error(e.getMessage(), e);
94
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diff changeset
175 }
171
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176
253
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177 return statisticSets;
93
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178 }
171
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179
255
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180 protected void clearStatistics(){}
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181
253
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182 /**
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183 *
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184 * @param break1
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185 * @param break2
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186 * @param break3
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187 * @param parameters
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188 * @param measurements
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189 * @param dates
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190 * @return
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191 */
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192 protected String generateStatisticsName(String break1,
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193 String break2,
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194 String break3,
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195 Collection<KeyValueDescibeData> parameters,
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diff changeset
196 Collection<KeyValueDescibeData> measurements,
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diff changeset
197 Collection<KeyValueDescibeData> dates){
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diff changeset
198 log.debug("TimeseriesStatistics.generateStatisticsName");
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parents: 171
diff changeset
199 return this.findValueTitle(parameters,break1)+ " "+
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parents: 171
diff changeset
200 this.findValueTitle(measurements,break2) + "m";
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parents: 171
diff changeset
201 }
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parents: 171
diff changeset
202
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
203
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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diff changeset
204 protected String findValueTitle(Collection<KeyValueDescibeData> values,
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parents: 171
diff changeset
205 String id) {
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diff changeset
206 log.debug("TimeseriesStatistics.findValueTitle "+ id);
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parents: 171
diff changeset
207 if (values != null) {
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
208 Iterator<KeyValueDescibeData> it = values.iterator();
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parents: 171
diff changeset
209 while (it.hasNext()) {
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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diff changeset
210 KeyValueDescibeData data = it.next();
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
211 if (id.equals(data.getKey())) {
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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diff changeset
212 return data.getValue();
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
213 }
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
214 }
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
215 }
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
216 return "";
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
217 }
255
5403452c06fc Added proper values for calculating the Statistics of VerticalProfiles and HorizontalProfiles issue86
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parents: 253
diff changeset
218 protected double calculateXOrdinateValue(Result previousRow, Result row) throws SQLException {
171
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parents: 115
diff changeset
219 return new Double((row.getDate("XORDINATE")).getTime() / 1000 / 3600);
98
156db25ad4b4 Add Statisticssupport also to VerticalProfiles
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parents: 97
diff changeset
220 }
171
7fb9441dd8af Format Code to max 80 Chars per Row and Cleanup
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parents: 115
diff changeset
221
94
6a825a184883 Remove Compile-Errors from the StatisticsPart
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parents: 93
diff changeset
222 /**
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parents: 93
diff changeset
223 * @param lStatistics
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parents: 93
diff changeset
224 * @param lRegression
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diff changeset
225 * @param lStats
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parents: 93
diff changeset
226 * @param lSeries
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parents: 93
diff changeset
227 */
253
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
228 private StatisticSet generateStatisticsValues(DescriptiveStatistics lStatistics,
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parents: 171
diff changeset
229 SimpleRegression lRegression, String statisticName) {
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parents: 171
diff changeset
230
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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diff changeset
231 StatisticSet statisticSet = new StatisticSet(statisticName);
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parents: 171
diff changeset
232
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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diff changeset
233 statisticSet.addStatistic(new Statistic(
171
7fb9441dd8af Format Code to max 80 Chars per Row and Cleanup
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parents: 115
diff changeset
234 "gnviewer.statistics.descriptive.arithmeticMean", lStatistics
7fb9441dd8af Format Code to max 80 Chars per Row and Cleanup
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diff changeset
235 .getMean()));
253
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
236 statisticSet.addStatistic(new Statistic(
171
7fb9441dd8af Format Code to max 80 Chars per Row and Cleanup
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parents: 115
diff changeset
237 "gnviewer.statistics.descriptive.kurtosis", lStatistics
7fb9441dd8af Format Code to max 80 Chars per Row and Cleanup
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parents: 115
diff changeset
238 .getKurtosis()));
253
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
239 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.max",
171
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parents: 115
diff changeset
240 lStatistics.getMax()));
253
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parents: 171
diff changeset
241 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.min",
171
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parents: 115
diff changeset
242 lStatistics.getMin()));
253
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parents: 171
diff changeset
243 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.n",
171
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parents: 115
diff changeset
244 lStatistics.getN()));
253
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
245 statisticSet.addStatistic(new Statistic(
171
7fb9441dd8af Format Code to max 80 Chars per Row and Cleanup
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parents: 115
diff changeset
246 "gnviewer.statistics.descriptive.percentile.90", lStatistics
7fb9441dd8af Format Code to max 80 Chars per Row and Cleanup
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parents: 115
diff changeset
247 .getPercentile(90)));
253
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
248 statisticSet.addStatistic(new Statistic(
171
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diff changeset
249 "gnviewer.statistics.descriptive.percentile.75", lStatistics
7fb9441dd8af Format Code to max 80 Chars per Row and Cleanup
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parents: 115
diff changeset
250 .getPercentile(75)));
253
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251 statisticSet.addStatistic(new Statistic(
171
7fb9441dd8af Format Code to max 80 Chars per Row and Cleanup
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252 "gnviewer.statistics.descriptive.percentile.50", lStatistics
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253 .getPercentile(50)));
253
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254 statisticSet.addStatistic(new Statistic(
171
7fb9441dd8af Format Code to max 80 Chars per Row and Cleanup
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255 "gnviewer.statistics.descriptive.percentile.10", lStatistics
7fb9441dd8af Format Code to max 80 Chars per Row and Cleanup
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256 .getPercentile(10)));
253
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diff changeset
257 statisticSet.addStatistic(new Statistic(
171
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258 "gnviewer.statistics.descriptive.deviation", lStatistics
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259 .getStandardDeviation()));
253
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260 statisticSet.addStatistic(new Statistic(
171
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261 "gnviewer.statistics.descriptive.variance", lStatistics
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262 .getVariance()));
253
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diff changeset
263 statisticSet.addStatistic(new Statistic(
171
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264 "gnviewer.statistics.descriptive.intercept", lRegression
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265 .getIntercept()));
253
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266 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.slope",
171
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267 lRegression.getSlope()));
253
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268 return statisticSet;
171
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269 }
93
c476fbbaa4ca Imported Statistics-Classes from old Project. Revision: 3101 Does not compile
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parents:
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270 }
http://dive4elements.wald.intevation.org