annotate gnv-artifacts/src/main/java/de/intevation/gnv/math/XYColumn.java @ 809:d05b17a4f3d0

Added javadoc in describedata package. gnv-artifacts/trunk@891 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author Ingo Weinzierl <ingo.weinzierl@intevation.de>
date Fri, 09 Apr 2010 07:27:38 +0000
parents a645bd23c1c8
children 05bf8534a35a
rev   line source
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1 package de.intevation.gnv.math;
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2
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3 import java.util.ArrayList;
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4 import java.util.Collections;
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5 import java.util.List;
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6
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7 import org.apache.commons.math.FunctionEvaluationException;
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8 import org.apache.commons.math.MathException;
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9
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10 import org.apache.commons.math.analysis.UnivariateRealFunction;
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11
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12 import org.apache.commons.math.analysis.interpolation.SplineInterpolator;
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13 import org.apache.commons.math.analysis.interpolation.UnivariateRealInterpolator;
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14
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15 import org.apache.log4j.Logger;
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16
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17 /**
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18 * A column of discrete attributed height values located at a point.
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19 * Values between the discrete height values are interpolated.
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20 *
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21 * @author <a href="mailto:ingo.weinzierl@intevation.de">Ingo Weinzierl</a>
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22 * @author <a href="mailto:sascha.teichmann@intevation.de">Sascha L. Teichmann</a>
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23 */
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24 public class XYColumn
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25 extends Point2d
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26 implements UnivariateRealFunction
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27 {
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28 private static Logger log = Logger.getLogger(XYColumn.class);
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29
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30 /**
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31 * The list of discrete height values.
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32 */
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33 protected List<HeightValue> values;
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34
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35 /**
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36 * The curve used to interpolate the points between the
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37 * discrete height values.
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38 */
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39 protected transient UnivariateRealFunction curve;
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40
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41 /**
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42 * Default constructor.
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43 */
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44 public XYColumn() {
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45 values = new ArrayList<HeightValue>();
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46 }
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47
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48 /**
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49 * Constructor to create an XYColumn with a given (x, y) coordinate
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50 * and an (i, j) index tuple.
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51 * @param x The x coordinate.
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52 * @param y The y coordinate.
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53 * @param i The i component.
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54 * @param j The j component.
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55 */
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56 public XYColumn(double x, double y, int i, int j) {
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57 super(x, y, i, j);
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58 values = new ArrayList<HeightValue>();
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59 }
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60
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61 /**
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62 * Adds a given height value to the list of height values.
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63 * @param value The height value.
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64 */
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65 public void add(HeightValue value) {
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66 values.add(value);
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67 }
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68
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69 /**
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70 * Returns the list of height values.
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71 * @return The list of height values.
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72 */
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73 public List<HeightValue> getValues() {
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74 return values;
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75 }
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76
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77 public double value(double depth) {
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78 try {
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79 if (curve != null) {
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80 HeightValue h = values.get(0);
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81 // extrapolate beyond boundaries by repeating
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82 if (depth > h.z) return h.v;
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83 h = values.get(values.size()-1);
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84 if (depth < h.z) return h.v;
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85 return curve.value(depth);
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86 }
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87 }
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88 catch (FunctionEvaluationException fee) {
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89 log.error("evaluation failed", fee);
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90 }
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91
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92 return Double.NaN;
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93 }
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94
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95 /**
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96 * Prepares this XYColumn to be queried. A given XYDepth
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97 * object is used to fill the values to a certain depth.
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98 * @param xyDepth To figure out the depth a the cordinate.
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99 * @return true if preparation succeeds else false.
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100 */
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101 public boolean prepare(XYDepth xyDepth) {
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102 if (curve == null) {
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103 int N = values.size();
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104 if (N == 0) {
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105 log.error("no points for interpolation");
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106 return false;
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107 }
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108
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109 if (N == 1) {
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110 // only one value -> constant function
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111 curve = new ConstantFunction(values.get(0).v);
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112 }
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113 else { // more than on value
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114 double depth = xyDepth.depth(this);
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115 Collections.sort(values, HeightValue.INV_Z_COMPARATOR);
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116
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117 // if there is no value at 0 repeat first value
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118 HeightValue first = values.get(0);
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119 if (first.z < 0d) {
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120 values.add(0, new HeightValue(0d, first.v, first.k-1));
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121 ++N;
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122 }
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123
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124 // if there is no value at depth repeat last value
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125 HeightValue last = values.get(N-1);
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126 if (last.z > depth) {
448
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127 values.add(new HeightValue(depth, last.v, last.k+1));
445
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128 ++N;
433
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129 }
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130 if (N < 3) { // interpolate linear
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131 first = values.get(0);
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132 last = values.get(N-1);
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133 curve = new LinearFunction.Univariate(
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134 first.z, first.v,
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135 last.z, last.v);
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136 }
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137 else { // higher degree interpolation
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138 double [] z = new double[N];
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139 double [] v = new double[N];
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140 for (int i = 0; i < N; ++i) {
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141 HeightValue h = values.get(N-1-i);
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142 z[i] = h.z;
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143 v[i] = h.v;
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144 }
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145 try {
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146 curve = getInterpolator().interpolate(z, v);
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147 }
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148 catch (MathException me) {
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149 log.error("interpolation failed", me);
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150 return false;
433
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151 }
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152 }
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153 }
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154 }
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155 return true;
433
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156 }
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157
807
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158 /**
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159 * Returns the interpolator used to interpolate the values between
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160 * the discrete height values. This class returns an instance of
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161 * {@link org.apache.commons.math.analysis.interpolation.SplineInterpolator}.
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162 * Override this if you want to use another kind of interpolation.
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163 * @return The interpolator to be used.
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164 */
433
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165 protected UnivariateRealInterpolator getInterpolator() {
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166 return new SplineInterpolator();
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167 }
427
a95aaeb206f7 Added data model classes to store information for interpolation.
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168 }
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169 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 :

http://dive4elements.wald.intevation.org