Mercurial > dive4elements > gnv-client
annotate gnv-artifacts/src/main/java/de/intevation/gnv/statistics/VectorStatistics.java @ 1084:81ac8d2f6cb7
Limited the parameterization of timeseries, horizontalprofiles and verticalprofiles so that just a single vector can be selected at the same time.
gnv-artifacts/trunk@1186 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Ingo Weinzierl <ingo.weinzierl@intevation.de> |
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date | Wed, 09 Jun 2010 12:54:08 +0000 |
parents | 5659b5c5e4b5 |
children | f953c9a559d8 |
rev | line source |
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1 package de.intevation.gnv.statistics; |
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2 |
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3 import de.intevation.gnv.geobackend.base.Result; |
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4 import de.intevation.gnv.geobackend.base.ResultDescriptor; |
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5 |
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6 import de.intevation.gnv.state.describedata.KeyValueDescibeData; |
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7 |
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8 import de.intevation.gnv.statistics.exception.StatisticsException; |
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9 |
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10 import java.sql.SQLException; |
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11 |
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12 import java.util.ArrayList; |
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13 import java.util.Collection; |
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14 import java.util.Iterator; |
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15 |
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16 import org.apache.commons.math.stat.descriptive.DescriptiveStatistics; |
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17 |
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18 import org.apache.commons.math.stat.regression.SimpleRegression; |
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19 |
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20 import org.apache.log4j.Logger; |
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21 |
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22 |
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23 /** |
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24 * @author <a href="mailto:ingo.weinzierl@intevation.de">Ingo Weinzierl</a> |
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25 */ |
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26 public abstract class VectorStatistics |
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27 extends AbstractStatistics |
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28 { |
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29 private static Logger logger = |
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30 Logger.getLogger(VectorStatistics.class); |
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31 |
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32 private ResultDescriptor rd; |
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33 |
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34 |
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35 public VectorStatistics() { |
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36 } |
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37 |
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38 |
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39 public Collection<StatisticSet> calculateStatistics( |
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40 Object result, |
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41 Collection<KeyValueDescibeData> parameters, |
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42 Collection<KeyValueDescibeData> measurements, |
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43 Collection<KeyValueDescibeData> dates |
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44 ) throws StatisticsException { |
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45 if (!(result instanceof Collection)) |
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46 return new ArrayList<StatisticSet>(); |
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47 |
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48 Collection<Result> results = (Collection<Result>) result; |
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49 Collection<StatisticSet> stats = new ArrayList<StatisticSet>(); |
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50 |
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51 SimpleRegression lRegression = new SimpleRegression(); |
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52 DescriptiveStatistics lStatistics = new DescriptiveStatistics(); |
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53 |
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54 Result previous = null; |
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55 Result row = null; |
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56 String seriesName = null; |
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57 int valueIdx = -1; |
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58 int seriesIdx = -1; |
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59 |
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60 Iterator<Result> iter = results.iterator(); |
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61 |
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62 while (iter.hasNext()) { |
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63 row = iter.next(); |
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64 previous = previous == null ? row : previous; |
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65 |
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66 if (rd == null || seriesIdx == -1) { |
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67 rd = row.getResultDescriptor(); |
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68 valueIdx = getValueIdx(rd); |
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69 seriesIdx = rd.getColumnIndex("SERIES"); |
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70 } |
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71 |
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72 if (seriesName != null |
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73 && !row.getString(seriesIdx).equals(seriesName)) |
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74 { |
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75 stats.add(generateStatisticsValues( |
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76 lStatistics, lRegression, seriesName)); |
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77 |
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78 lStatistics.clear(); |
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79 lRegression.clear(); |
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80 |
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81 clear(); |
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82 } |
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83 |
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84 Double yValue = getValue(row, valueIdx); |
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85 |
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86 if (yValue != null) { |
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87 lStatistics.addValue(yValue); |
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88 |
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89 try { |
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90 double x = calculateXOrdinateValue(previous, row); |
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91 lRegression.addData(x, yValue); |
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92 } |
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93 catch (SQLException sqle) { |
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94 logger.warn(sqle, sqle); |
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95 } |
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96 } |
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97 |
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98 seriesName = row.getString(seriesIdx); |
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99 previous = row; |
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100 } |
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101 |
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102 if (seriesName != null && row != null) { |
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103 stats.add(generateStatisticsValues( |
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104 lStatistics, lRegression, seriesName)); |
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105 |
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106 lStatistics.clear(); |
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107 lRegression.clear(); |
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108 } |
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109 |
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110 return stats; |
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111 } |
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112 |
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113 |
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114 protected Double getValue(Result row, int idx) { |
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115 return row.getDouble(idx); |
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116 } |
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117 |
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118 |
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119 abstract protected void clear(); |
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120 |
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121 abstract protected int getValueIdx(ResultDescriptor rd); |
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122 |
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123 abstract protected double calculateXOrdinateValue(Result prev, Result now) |
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124 throws SQLException; |
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125 } |
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126 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf-8 : |