root / trunk / extensions / extGeoProcessing / src / com / iver / cit / gvsig / geoprocess / dissolve / fmap / DissolveVisitor.java @ 5628
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1 | 5412 | azabala | /*
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2 | * Created on 24-feb-2006
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3 | *
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4 | * gvSIG. Sistema de Informaci?n Geogr?fica de la Generalitat Valenciana
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5 | *
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6 | * Copyright (C) 2004 IVER T.I. and Generalitat Valenciana.
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7 | *
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8 | * This program is free software; you can redistribute it and/or
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9 | * modify it under the terms of the GNU General Public License
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10 | * as published by the Free Software Foundation; either version 2
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11 | * of the License, or (at your option) any later version.
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12 | *
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13 | * This program is distributed in the hope that it will be useful,
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14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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16 | * GNU General Public License for more details.
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17 | *
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18 | * You should have received a copy of the GNU General Public License
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19 | * along with this program; if not, write to the Free Software
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20 | * Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,USA.
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21 | *
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22 | * For more information, contact:
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23 | *
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24 | * Generalitat Valenciana
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25 | * Conselleria d'Infraestructures i Transport
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26 | * Av. Blasco Ib??ez, 50
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27 | * 46010 VALENCIA
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28 | * SPAIN
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29 | *
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30 | * +34 963862235
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31 | * gvsig@gva.es
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32 | * www.gvsig.gva.es
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33 | *
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34 | * or
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35 | *
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36 | * IVER T.I. S.A
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37 | * Salamanca 50
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38 | * 46005 Valencia
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39 | * Spain
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40 | *
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41 | * +34 963163400
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42 | * dac@iver.es
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43 | */
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44 | /* CVS MESSAGES:
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45 | *
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46 | * $Id$
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47 | * $Log$
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48 | 5628 | azabala | * Revision 1.2 2006-06-02 18:21:28 azabala
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49 | * *** empty log message ***
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50 | *
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51 | * Revision 1.1 2006/05/24 21:11:14 azabala
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52 | 5412 | azabala | * primera version en cvs despues de refactoring orientado a crear un framework extensible de geoprocessing
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53 | *
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54 | * Revision 1.5 2006/05/08 15:37:26 azabala
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55 | * added alphanumeric dissolve
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56 | *
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57 | * Revision 1.4 2006/05/01 19:14:30 azabala
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58 | * comentario
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59 | *
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60 | * Revision 1.3 2006/03/15 18:33:24 azabala
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61 | * *** empty log message ***
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62 | *
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63 | * Revision 1.2 2006/03/07 21:01:33 azabala
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64 | * *** empty log message ***
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65 | *
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66 | * Revision 1.1 2006/03/06 19:48:39 azabala
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67 | * *** empty log message ***
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68 | *
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69 | * Revision 1.2 2006/03/05 19:58:30 azabala
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70 | * *** empty log message ***
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71 | *
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72 | * Revision 1.1 2006/02/26 20:54:04 azabala
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73 | * *** empty log message ***
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74 | *
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75 | *
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76 | */
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77 | package com.iver.cit.gvsig.geoprocess.dissolve.fmap; |
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78 | |||
79 | import java.awt.geom.Rectangle2D; |
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80 | import java.util.ArrayList; |
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81 | import java.util.Iterator; |
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82 | import java.util.List; |
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83 | import java.util.Map; |
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84 | import java.util.Stack; |
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85 | |||
86 | import com.hardcode.gdbms.engine.data.driver.DriverException; |
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87 | import com.hardcode.gdbms.engine.values.NumericValue; |
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88 | import com.hardcode.gdbms.engine.values.Value; |
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89 | import com.hardcode.gdbms.engine.values.ValueFactory; |
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90 | import com.iver.cit.gvsig.fmap.core.DefaultFeature; |
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91 | import com.iver.cit.gvsig.fmap.core.IGeometry; |
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92 | import com.iver.cit.gvsig.fmap.core.v02.FConverter; |
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93 | import com.iver.cit.gvsig.fmap.edition.EditionException; |
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94 | import com.iver.cit.gvsig.fmap.layers.FBitSet; |
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95 | import com.iver.cit.gvsig.fmap.layers.FLayer; |
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96 | import com.iver.cit.gvsig.fmap.layers.FLyrVect; |
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97 | import com.iver.cit.gvsig.fmap.layers.SelectableDataSource; |
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98 | import com.iver.cit.gvsig.fmap.layers.layerOperations.AlphanumericData; |
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99 | import com.iver.cit.gvsig.fmap.layers.layerOperations.VectorialData; |
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100 | import com.iver.cit.gvsig.fmap.operations.strategies.FeatureVisitor; |
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101 | import com.iver.cit.gvsig.fmap.operations.strategies.Strategy; |
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102 | import com.iver.cit.gvsig.fmap.operations.strategies.VisitException; |
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103 | import com.iver.cit.gvsig.geoprocess.core.fmap.FeatureProcessor; |
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104 | import com.iver.cit.gvsig.geoprocess.core.fmap.SummarizationFunction; |
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105 | import com.vividsolutions.jts.geom.Geometry; |
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106 | import com.vividsolutions.jts.geom.GeometryFactory; |
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107 | |||
108 | /**
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109 | * <p>
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110 | * This FeatureVisitor processes each geometry of a polygon layer, looks for
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111 | * adjacent polygons and verify values of a dissolve field. If these values are
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112 | * coincident, it creates a new polygon by unioning original polygons. Also
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113 | * applies a sumarization function to numeric fields of original features.
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114 | * </p>
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115 | *
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116 | * @author azabala
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117 | *
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118 | */
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119 | public class DissolveVisitor implements FeatureVisitor { |
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120 | |||
121 | /**
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122 | * Allows to get attributes of disolved layer features
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123 | */
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124 | protected SelectableDataSource recordset;
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125 | |||
126 | /**
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127 | * Is used to do spatial querys (looking for adjacent polygons to visited
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128 | * feature geometry
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129 | */
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130 | protected FLyrVect dissolvedLayer;
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131 | |||
132 | /**
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133 | * Field which adjacent features must have the same value to dissolve them
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134 | */
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135 | protected String dissolveField; |
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136 | |||
137 | /**
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138 | * It marks all features that have already been dissolved (to avoid process
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139 | * them in subsecuent steps)
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140 | *
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141 | */
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142 | protected FBitSet dissolvedGeometries;
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143 | |||
144 | /**
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145 | * Relates a numerical field name with its sumarization functions
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146 | */
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147 | protected Map numericField_sumarizeFunction; |
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148 | |||
149 | /**
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150 | * Processes results of dissolve operations (save them in a file, or cache
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151 | * them in memory, etc)
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152 | */
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153 | protected FeatureProcessor featureProcessor;
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154 | |||
155 | /**
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156 | * Strategy of the layer we want to dissolve
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157 | */
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158 | protected Strategy strategy;
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159 | /**
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160 | * Index of the result
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161 | */
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162 | protected int fid = 0; |
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163 | |||
164 | /**
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165 | * Constructor
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166 | * @param dissolveField
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167 | * @param processor
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168 | */
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169 | public DissolveVisitor(String dissolveField, FeatureProcessor processor) { |
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170 | this.dissolveField = dissolveField;
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171 | this.featureProcessor = processor;
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172 | dissolvedGeometries = new FBitSet();
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173 | } |
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174 | |||
175 | public int getNumProcessedGeometries() { |
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176 | return dissolvedGeometries.cardinality();
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177 | } |
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178 | |||
179 | public void setDissolvedAttributesInfo(Map numericField_sumFunction) { |
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180 | this.numericField_sumarizeFunction = numericField_sumFunction;
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181 | } |
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182 | |||
183 | /*
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184 | * Algorithm to compute dissolve is strongly based in depth first algorithm
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185 | * to traverse graphs.
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186 | *
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187 | * It puts features to dissolve in a stack. While stack is not empty, get
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188 | * Features and looks for adjacent to it. For each adjacent feature, verify
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189 | * its dissolve field value, and if it is similar to feature to dissolve
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190 | * with, obtain a new feature by unioning their geometries and by applying
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191 | * sumarization functions to its numeric attributes. For each adjacent
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192 | * feature, put it in the Stack
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193 | */
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194 | public void visit(IGeometry g, int index) throws VisitException { |
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195 | 5628 | azabala | if(g == null) |
196 | return;
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197 | 5412 | azabala | if (!dissolvedGeometries.get(index)) {
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198 | // if we havent dissolved this feature
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199 | Stack toDissol = new Stack();// stack for adjacent features |
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200 | DissolvedFeature feature; |
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201 | try {
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202 | feature = createFeature(g, index); |
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203 | toDissol.push(feature); |
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204 | ArrayList geometries = new ArrayList(); |
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205 | Value[] values = dissolveGeometries(toDissol, geometries);
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206 | Geometry geometry = union(geometries); |
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207 | Value[] valuesWithFID = new Value[values.length + 1]; |
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208 | System.arraycopy(values, 0, valuesWithFID, 1, values.length); |
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209 | valuesWithFID[0] = ValueFactory.createValue(fid);
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210 | DissolvedFeature dissolved = new DissolvedFeature(null,valuesWithFID, fid/*index*/); |
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211 | dissolved.setJtsGeometry(geometry); |
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212 | this.featureProcessor.processFeature(dissolved);
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213 | fid++; |
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214 | resetFunctions(); |
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215 | } catch (DriverException e) {
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216 | throw new VisitException( |
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217 | "Error al procesar las geometrias a fusionar durante dissolve");
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218 | } catch (com.iver.cit.gvsig.fmap.DriverException e) {
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219 | throw new VisitException( |
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220 | "Error al procesar las geometrias a fusionar durante dissolve");
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221 | } |
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222 | }// if
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223 | } |
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224 | |||
225 | /**
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226 | * Returns the union of all geometries of the list
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227 | * @param geometries
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228 | * @return
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229 | */
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230 | protected Geometry union(List geometries){ |
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231 | Geometry union = null;
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232 | Geometry[] geom = new Geometry[geometries.size()]; |
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233 | geometries.toArray(geom); |
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234 | //This algorithm is a lot of slower than comment one
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235 | //based in buffer(0), but is robust (in JTS union
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236 | //always nodes geometries
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237 | // for(int i = 0; i < geom.length; i++){
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238 | // if(union == null)
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239 | // union = geom[i];
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240 | // else{
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241 | // //Revisar si no podemos calcular la interseccion, las
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242 | // //dos diferencias, y dissolver estas
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243 | // union = union.union(geom[i]);
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244 | //
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245 | // //FIXME Esto est? dando TopologyException por un tubo
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246 | // }
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247 | // }
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248 | GeometryFactory fact = geom[0].getFactory();
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249 | Geometry geomColl = fact.createGeometryCollection(geom); |
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250 | union = geomColl.buffer(0);
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251 | return union;
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252 | } |
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253 | |||
254 | /**
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255 | * FIXME Redise?ar esto, pues el codigo es similar al de Spatial Join
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256 | *
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257 | */
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258 | protected void resetFunctions() { |
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259 | if(numericField_sumarizeFunction == null) |
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260 | return;
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261 | Iterator fieldsIt = numericField_sumarizeFunction.keySet().iterator();
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262 | while (fieldsIt.hasNext()) {
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263 | String field = (String) fieldsIt.next(); |
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264 | SummarizationFunction[] functions = (SummarizationFunction[]) numericField_sumarizeFunction |
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265 | .get(field); |
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266 | for (int i = 0; i < functions.length; i++) { |
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267 | functions[i].reset(); |
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268 | }// for
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269 | }// while
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270 | } |
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271 | |||
272 | /**
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273 | * Inner class to manage dissolve geoprocess. It mantains feature info
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274 | * interesting for dissolve (int index, JTS Geometry, etc)
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275 | *
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276 | * @author azabala
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277 | *
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278 | */
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279 | protected class DissolvedFeature extends DefaultFeature { |
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280 | int index;
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281 | Geometry jtsGeometry; |
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282 | |||
283 | public DissolvedFeature(IGeometry geom, Value[] att, int index) { |
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284 | super(geom, att);
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285 | this.index = index;
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286 | } |
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287 | |||
288 | public int getIndex() { |
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289 | return index;
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290 | } |
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291 | |||
292 | public Geometry getJtsGeometry() {
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293 | return jtsGeometry;
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294 | } |
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295 | |||
296 | public void setJtsGeometry(Geometry jtsGeometry) { |
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297 | this.jtsGeometry = jtsGeometry;
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298 | } |
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299 | |||
300 | public IGeometry getGeometry() {
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301 | IGeometry solution = super.getGeometry();
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302 | if (solution == null && jtsGeometry != null) { |
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303 | solution = FConverter.jts_to_igeometry(jtsGeometry); |
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304 | } |
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305 | return solution;
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306 | } |
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307 | |||
308 | } |
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309 | |||
310 | /**
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311 | * Creates a new IFeature with util info for dissolve geoprocess (it ignore
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312 | * non numerical values, etc)
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313 | *
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314 | * @param g
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315 | * @param index
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316 | * @return
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317 | * @throws DriverException
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318 | */
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319 | protected DissolvedFeature createFeature(IGeometry g, int index) |
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320 | throws DriverException {
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321 | DissolvedFeature solution = null;
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322 | int numNumericFields = 0; |
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323 | if(numericField_sumarizeFunction != null) |
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324 | numNumericFields = numericField_sumarizeFunction.keySet().size(); |
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325 | // attributes will be dissolve field and sumarized function for
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326 | // numerical
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327 | // values
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328 | Value[] values = new Value[numNumericFields + 1]; |
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329 | if (numericField_sumarizeFunction != null){ |
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330 | Iterator fieldIt = numericField_sumarizeFunction.keySet().iterator();
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331 | int valueIndex = 0; |
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332 | while (fieldIt.hasNext()) {
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333 | String fieldName = (String) fieldIt.next(); |
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334 | int fieldIndex = recordset.getFieldIndexByName(fieldName);
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335 | values[valueIndex] = recordset.getFieldValue(index, fieldIndex); |
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336 | valueIndex++; |
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337 | } |
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338 | } |
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339 | /*
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340 | * FIXME In this case, we are dissolving with one only dissolve field.
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341 | * To work with many dissolve fields, we must to follow certain
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342 | * conventions: For example, first numeric fields, after that, dissolve
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343 | * fields
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344 | */
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345 | int dissolveField = recordset.getFieldIndexByName(this.dissolveField); |
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346 | values[numNumericFields] = recordset |
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347 | .getFieldValue(index, dissolveField); |
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348 | solution = new DissolvedFeature(g, values, index);
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349 | return solution;
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350 | } |
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351 | |||
352 | |||
353 | // // FIXME Mover esto a una utility class
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354 | // protected Geometry fastUnion(Geometry g1, Geometry g2) {
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355 | // Geometry[] geoms = new Geometry[2];
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356 | // geoms[0] = g1;
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357 | // geoms[1] = g2;
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358 | // GeometryCollection gc = g1.getFactory().createGeometryCollection(geoms);
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359 | // return gc.buffer(0d);
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360 | // }
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361 | |||
362 | protected boolean verifyIfDissolve(DissolvedFeature fet1, |
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363 | DissolvedFeature fet2) { |
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364 | Geometry jtsGeo = fet1.getJtsGeometry(); |
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365 | Geometry featureJtsGeo = fet2.getJtsGeometry(); |
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366 | //FIXME Revisar si intersects considera dos arcos adjacentes
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367 | //que no comparten nodo
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368 | if (jtsGeo.intersects(featureJtsGeo)) {// They have at least |
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369 | //a common point
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370 | |||
371 | // dissolveField is the last
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372 | int fieldIndex = 0; |
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373 | if (numericField_sumarizeFunction != null) |
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374 | fieldIndex = numericField_sumarizeFunction.keySet().size(); |
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375 | Value adjacentVal = fet1.getAttribute(fieldIndex); |
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376 | Value val = fet2.getAttribute(fieldIndex); |
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377 | if (adjacentVal.doEquals(val)) {
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378 | return true; |
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379 | }// if val equals
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380 | }// if touches
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381 | return false; |
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382 | } |
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383 | |||
384 | /**
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385 | * For each individual geometry processed in DissolveVisitor's visit method,
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386 | * this Visitor visits its adjacent polygons geometries to check dissolve
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387 | * conditions.
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388 | *
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389 | * @author azabala
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390 | *
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391 | */
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392 | protected class IndividualGeometryDissolveVisitor implements FeatureVisitor { |
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393 | /**
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394 | * Marks index of features that have been dissolved yet
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395 | */
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396 | FBitSet dissolvedFeatures; |
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397 | |||
398 | /**
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399 | * It saves all features for we are looking for adjacent geometries.
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400 | * Dissolving is similar to network tracking algorithms: one feature is
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401 | * adjacent to two, two is adjacent to four, etc We will save features
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402 | * to process in this stack
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403 | */
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404 | Stack featuresToDissolve;
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405 | |||
406 | /**
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407 | * Field use to dissolve adjacent geometries with the same value for it
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408 | *
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409 | * FIXME Change it for an evaluator of logical expresions
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410 | */
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411 | String dissolveField;
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412 | |||
413 | /**
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414 | * Maps for each numerical field its sumarization functions
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415 | */
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416 | Map fields_sumarizeFunc;
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417 | |||
418 | /**
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419 | * Feature for which we are looking for features to dissolve
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420 | */
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421 | DissolvedFeature feature; |
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422 | |||
423 | /**
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424 | * jts geometry of feature
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425 | */
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426 | private Geometry featureJtsGeo;
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427 | |||
428 | /**
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429 | * Numeric values result of a sumarization operation
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430 | */
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431 | private List sumarizedValues; |
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432 | |||
433 | /**
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434 | * Constructor
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435 | *
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436 | * @param feature
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437 | * Feature we are analizing to found its adjacents
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438 | *
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439 | * @param dissolvedFeatures
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440 | * bitset that marks all analyzed features (to not to analyze
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441 | * later)
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442 | *
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443 | * @param featuresToDissolve
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444 | * stack where we put adjacent features to analyze later
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445 | *
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446 | * @param fields_sumarize
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447 | * maps a numeric field of the solution layer with its
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448 | * sumarization functions
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449 | */
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450 | protected IndividualGeometryDissolveVisitor(DissolvedFeature feature,
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451 | FBitSet dissolvedFeatures, Stack featuresToDissolve,
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452 | Map fields_sumarize) {
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453 | this.dissolvedFeatures = dissolvedFeatures;
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454 | this.feature = feature;
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455 | this.featuresToDissolve = featuresToDissolve;
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456 | this.featureJtsGeo = feature.getGeometry().toJTSGeometry();
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457 | feature.setJtsGeometry(featureJtsGeo); |
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458 | this.sumarizedValues = new ArrayList(); |
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459 | this.fields_sumarizeFunc = fields_sumarize;
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460 | |||
461 | } |
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462 | |||
463 | public String getProcessDescription() { |
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464 | return "Dissolving a polygon with its adjacents"; |
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465 | } |
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466 | |||
467 | /**
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468 | * Applies to sumarization functions feature values.
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469 | *
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470 | * @throws DriverException
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471 | *
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472 | * FIXME Redise?ar, pues el codigo es similar al de Spatial Join
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473 | */
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474 | protected void applySumarizeFunction(int recordIndex) |
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475 | throws DriverException {
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476 | // TODO Redesing this with extensible dissolve
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477 | if (fields_sumarizeFunc == null) |
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478 | return;
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479 | |||
480 | Iterator fieldsIt = fields_sumarizeFunc.keySet().iterator();
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481 | while (fieldsIt.hasNext()) {
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482 | String field = (String) fieldsIt.next(); |
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483 | int fieldIndex = recordset.getFieldIndexByName(field);
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484 | Value valToSumarize = recordset.getFieldValue(recordIndex, |
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485 | fieldIndex); |
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486 | SummarizationFunction[] functions = (SummarizationFunction[]) fields_sumarizeFunc |
||
487 | .get(field); |
||
488 | for (int i = 0; i < functions.length; i++) { |
||
489 | functions[i].process((NumericValue) valToSumarize); |
||
490 | sumarizedValues.add(functions[i].getSumarizeValue()); |
||
491 | }// for
|
||
492 | }// while
|
||
493 | } |
||
494 | |||
495 | /**
|
||
496 | * Analizes a feature (defined by g and its index) to see if it is an
|
||
497 | * adjacent feature to the given feature, and to check its dissolve
|
||
498 | * condition.
|
||
499 | *
|
||
500 | * @param g
|
||
501 | * @param index
|
||
502 | */
|
||
503 | public void visit(IGeometry g, int index) throws VisitException { |
||
504 | // Is it the feature whose adjacents we are looking for?
|
||
505 | if (index == feature.getIndex())
|
||
506 | return;
|
||
507 | // have we dissolved this feature yet?
|
||
508 | if (dissolvedFeatures.get(index))
|
||
509 | return;
|
||
510 | try {
|
||
511 | DissolvedFeature adjacentFeature = createFeature(g, index); |
||
512 | Geometry jtsGeo = g.toJTSGeometry(); |
||
513 | adjacentFeature.setJtsGeometry(jtsGeo); |
||
514 | if (verifyIfDissolve(feature, adjacentFeature)) {
|
||
515 | dissolvedFeatures.set(index); |
||
516 | |||
517 | // we actualize geometry by unioning
|
||
518 | featuresToDissolve.push(adjacentFeature); |
||
519 | // group by attributes
|
||
520 | applySumarizeFunction(index); |
||
521 | } |
||
522 | } catch (DriverException e) {
|
||
523 | throw new VisitException( |
||
524 | "Error al cargar los pol?gonos adyacentes durante un dissolve");
|
||
525 | } |
||
526 | }// visit
|
||
527 | |||
528 | public void stop(FLayer layer) { |
||
529 | } |
||
530 | |||
531 | public boolean start(FLayer layer) { |
||
532 | try {
|
||
533 | recordset = ((AlphanumericData) layer).getRecordset(); |
||
534 | this.applySumarizeFunction(feature.getIndex());
|
||
535 | |||
536 | } catch (com.iver.cit.gvsig.fmap.DriverException e) {
|
||
537 | return false; |
||
538 | } catch (DriverException e) {
|
||
539 | return false; |
||
540 | } |
||
541 | return true; |
||
542 | } |
||
543 | |||
544 | public void setFields_sumarizeFunc(Map fields_sumarizeFunc) { |
||
545 | this.fields_sumarizeFunc = fields_sumarizeFunc;
|
||
546 | } |
||
547 | |||
548 | public Map getFields_sumarizeFunc() { |
||
549 | return fields_sumarizeFunc;
|
||
550 | } |
||
551 | |||
552 | public Geometry getFeatureJtsGeo() {
|
||
553 | return featureJtsGeo;
|
||
554 | } |
||
555 | |||
556 | public Value[] getSumarizedValues() { |
||
557 | Value[] solution = new Value[sumarizedValues.size()]; |
||
558 | sumarizedValues.toArray(solution); |
||
559 | return solution;
|
||
560 | } |
||
561 | |||
562 | public Value[] getSumarizedValues2() { |
||
563 | Value[] solution = null; |
||
564 | ArrayList values = new ArrayList(); |
||
565 | if (fields_sumarizeFunc != null){ |
||
566 | Iterator fieldsIt = fields_sumarizeFunc.keySet().iterator();
|
||
567 | while (fieldsIt.hasNext()) {
|
||
568 | String field = (String) fieldsIt.next(); |
||
569 | SummarizationFunction[] functions = (SummarizationFunction[]) fields_sumarizeFunc |
||
570 | .get(field); |
||
571 | for (int i = 0; i < functions.length; i++) { |
||
572 | values.add(functions[i].getSumarizeValue()); |
||
573 | }// for
|
||
574 | }// while
|
||
575 | }//if
|
||
576 | if (dissolveField != null) { |
||
577 | try {
|
||
578 | int dissolveFieldIndex = recordset
|
||
579 | .getFieldIndexByName(dissolveField); |
||
580 | Value dissolveField = recordset.getFieldValue(feature |
||
581 | .getIndex(), dissolveFieldIndex); |
||
582 | values.add(dissolveField); |
||
583 | } catch (DriverException e) {
|
||
584 | // TODO Auto-generated catch block
|
||
585 | e.printStackTrace(); |
||
586 | } |
||
587 | } |
||
588 | solution = new Value[values.size()];
|
||
589 | values.toArray(solution); |
||
590 | return solution;
|
||
591 | } |
||
592 | |||
593 | public void setDissolveField(String dissolveField) { |
||
594 | this.dissolveField = dissolveField;
|
||
595 | |||
596 | } |
||
597 | |||
598 | public void setProcessedFeature(DissolvedFeature feature2) { |
||
599 | this.feature = feature2;
|
||
600 | |||
601 | } |
||
602 | }// IndividualDissolve
|
||
603 | |||
604 | |||
605 | |||
606 | protected Value[] dissolveGeometries(Stack toDissol, |
||
607 | List geometries) throws com.iver.cit.gvsig.fmap.DriverException, |
||
608 | VisitException { |
||
609 | |||
610 | IndividualGeometryDissolveVisitor visitor = null;
|
||
611 | DissolvedFeature feature = null;
|
||
612 | while (toDissol.size() != 0) { |
||
613 | feature = (DissolvedFeature) toDissol.pop(); |
||
614 | // flags this idx (to not to process in future)
|
||
615 | dissolvedGeometries.set(feature.getIndex()); |
||
616 | if (visitor == null) { |
||
617 | visitor = new IndividualGeometryDissolveVisitor(feature,
|
||
618 | dissolvedGeometries, toDissol, |
||
619 | numericField_sumarizeFunction); |
||
620 | visitor.setDissolveField(this.dissolveField);
|
||
621 | } else {
|
||
622 | visitor.setProcessedFeature(feature); |
||
623 | } |
||
624 | Rectangle2D bounds = feature.getGeometry().getBounds2D();
|
||
625 | double xmin = bounds.getMinX();
|
||
626 | double ymin = bounds.getMinY();
|
||
627 | double xmax = bounds.getMaxX();
|
||
628 | double ymax = bounds.getMaxY();
|
||
629 | double magnify = 15d; |
||
630 | Rectangle2D query = new Rectangle2D.Double(xmin - magnify, ymin |
||
631 | - magnify, (xmax - xmin) + magnify, (ymax - ymin) + magnify); |
||
632 | |||
633 | strategy.process(visitor, query); |
||
634 | //al final de toda la pila de llamadas recursivas,
|
||
635 | //geometries tendr? todas las geometrias que debemos dissolver
|
||
636 | geometries.add(feature.getJtsGeometry()); |
||
637 | }// while
|
||
638 | Value[] values = visitor.getSumarizedValues2();
|
||
639 | return values;
|
||
640 | } |
||
641 | |||
642 | protected DissolvedFeature dissolve(Stack toDissol) |
||
643 | throws com.iver.cit.gvsig.fmap.DriverException, VisitException {
|
||
644 | |||
645 | DissolvedFeature feature = null;
|
||
646 | Geometry jtsGeometry = null;
|
||
647 | IndividualGeometryDissolveVisitor visitor = null;
|
||
648 | while (toDissol.size() != 0) { |
||
649 | feature = (DissolvedFeature) toDissol.pop(); |
||
650 | // flags this idx (to not to process in future)
|
||
651 | dissolvedGeometries.set(feature.getIndex()); |
||
652 | if (visitor == null) { |
||
653 | visitor = new IndividualGeometryDissolveVisitor(feature,
|
||
654 | dissolvedGeometries, toDissol, |
||
655 | numericField_sumarizeFunction); |
||
656 | visitor.setDissolveField(this.dissolveField);
|
||
657 | } else {
|
||
658 | visitor.setProcessedFeature(feature); |
||
659 | } |
||
660 | Rectangle2D bounds = feature.getGeometry().getBounds2D();
|
||
661 | double xmin = bounds.getMinX();
|
||
662 | double ymin = bounds.getMinY();
|
||
663 | double xmax = bounds.getMaxX();
|
||
664 | double ymax = bounds.getMaxY();
|
||
665 | double magnify = 15d; |
||
666 | Rectangle2D query = new Rectangle2D.Double(xmin - magnify, ymin |
||
667 | - magnify, (xmax - xmin) + magnify, (ymax - ymin) + magnify); |
||
668 | |||
669 | strategy.process(visitor, query); |
||
670 | |||
671 | Geometry jtsGeo = visitor.getFeatureJtsGeo(); |
||
672 | if (jtsGeometry == null) { |
||
673 | jtsGeometry = jtsGeo; |
||
674 | } else {
|
||
675 | jtsGeometry = jtsGeometry.union(jtsGeo); |
||
676 | } |
||
677 | }// while
|
||
678 | Value[] values = visitor.getSumarizedValues2();
|
||
679 | feature = new DissolvedFeature(null, values, -1); |
||
680 | feature.setJtsGeometry(jtsGeometry); |
||
681 | return feature;
|
||
682 | } |
||
683 | |||
684 | public void stop(FLayer layer) { |
||
685 | this.featureProcessor.finish();
|
||
686 | } |
||
687 | |||
688 | public boolean start(FLayer layer) { |
||
689 | if (layer instanceof AlphanumericData && layer instanceof VectorialData) { |
||
690 | try {
|
||
691 | dissolvedLayer = (FLyrVect) layer; |
||
692 | recordset = ((AlphanumericData) layer).getRecordset(); |
||
693 | featureProcessor.start(); |
||
694 | } catch (com.iver.cit.gvsig.fmap.DriverException e) {
|
||
695 | return false; |
||
696 | } catch (EditionException e) {
|
||
697 | return false; |
||
698 | } |
||
699 | return true; |
||
700 | } |
||
701 | return false; |
||
702 | } |
||
703 | |||
704 | public void setStrategy(Strategy strategy) { |
||
705 | this.strategy = strategy;
|
||
706 | } |
||
707 | |||
708 | public String getProcessDescription() { |
||
709 | return "Dissolving polygons of a layer"; |
||
710 | } |
||
711 | |||
712 | } |