gvsig-geoprocess / org.gvsig.geoprocess / trunk / org.gvsig.geoprocess / org.gvsig.geoprocess.algorithm / org.gvsig.geoprocess.algorithm.dissolve / src / main / java / org / gvsig / geoprocess / algorithm / dissolve / Summary.java @ 1259
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/**
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* gvSIG. Desktop Geographic Information System.
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*
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* Copyright (C) 2007-2012 gvSIG Association.
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
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* MA 02110-1301, USA.
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*
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* For any additional information, do not hesitate to contact us
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* at info AT gvsig.com, or visit our website www.gvsig.com.
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*/
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package org.gvsig.geoprocess.algorithm.dissolve; |
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import es.unex.sextante.core.Sextante; |
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import org.gvsig.fmap.dal.feature.EditableFeature; |
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import org.gvsig.fmap.dal.feature.Feature; |
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import org.gvsig.fmap.dal.feature.FeatureAttributeDescriptor; |
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import org.gvsig.fmap.dal.feature.FeatureType; |
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/**
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* <p>
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* Computes summary functions. There are four summary functions, maximum, minimum,
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* average and sum.
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* </p>
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* <p>
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* At the beginning you have to call loadDefaultSummarizes with the
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* first analyzed feature. Next, the function updateValues will update the statistics
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* values and in the end you have to load the statistics value in the output feature
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* calling the function loadEditableFeature.
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* </p>
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*
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* @author <a href="mailto:nachobrodin@gmail.com">Nacho Brodin</a>
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*/
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public class Summary { |
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private IDissolveRule rule = null; |
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private double max = Double.NEGATIVE_INFINITY; |
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private double min = Double.POSITIVE_INFINITY; |
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private double avg = 0; |
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private double sum = 0; |
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private double sumAvg = 0; |
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private double nfeat = 0; |
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private FeatureType featType = null; |
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public Summary(IDissolveRule criteria, FeatureType featType) {
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this.rule = criteria;
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this.featType = featType;
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} |
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/**
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* This function updates statistics values reading the field
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* values of the selected feature .
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* @param feature
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*/
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public void updateValues(Feature feature) { |
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try {
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FeatureAttributeDescriptor[] desc = featType.getAttributeDescriptors();
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Object obj = null; |
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String fName = null; |
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for (int i = 0; i < desc.length; i++) { |
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String fieldName = desc[i].getName();
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if(fieldName.endsWith("_Max")) { |
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fName = rule.getFieldName("Max");
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if(fName != null) { |
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obj = feature.get(fName); |
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max = Math.max(max, ((Number)obj).doubleValue()); |
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} |
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} |
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if(fieldName.endsWith("_Min")) { |
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fName = rule.getFieldName("Min");
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if(fName != null) { |
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obj = feature.get(fName); |
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min = Math.min(min, ((Number)obj).doubleValue()); |
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} |
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} |
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if(fieldName.endsWith("_Sum")) { |
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fName = rule.getFieldName("Sum");
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if(fName != null) { |
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obj = feature.get(fName); |
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sum = sum + ((Number)obj).doubleValue();
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} |
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} |
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if(fieldName.endsWith("_Avg")) { |
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fName = rule.getFieldName("Avg");
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if(fName != null) { |
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obj = feature.get(fName); |
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sumAvg = sumAvg + ((Number)obj).doubleValue();
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nfeat ++; |
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avg = sumAvg / nfeat; |
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} |
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} |
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fName = null;
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} |
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} catch (NumberFormatException e) { |
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Sextante.addErrorToLog(e); |
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} |
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} |
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/**
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* Loads an EditableFeature with the statistics
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* @param feat
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*/
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public void loadEditableFeature(EditableFeature feat) { |
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FeatureAttributeDescriptor[] desc = featType.getAttributeDescriptors();
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for (int i = 0; i < desc.length; i++) { |
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String fieldName = desc[i].getName();
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if(fieldName.endsWith("_Max")) { |
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if(feat.getType().getAttributeDescriptor(fieldName) != null) |
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feat.setDouble(fieldName, getMax()); |
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} |
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if(fieldName.endsWith("_Min")) { |
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if(feat.getType().getAttributeDescriptor(fieldName) != null) |
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feat.setDouble(fieldName, getMin()); |
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} |
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if(fieldName.endsWith("_Sum")) { |
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if(feat.getType().getAttributeDescriptor(fieldName) != null) |
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feat.setDouble(fieldName, getSum()); |
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} |
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if(fieldName.endsWith("_Avg")) { |
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if(feat.getType().getAttributeDescriptor(fieldName) != null) |
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feat.setDouble(fieldName, getAvg()); |
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} |
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} |
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} |
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/**
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* Loads the default statistics values.
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* @param feature
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*/
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public void loadDefaultSummarizes(Feature feature) { |
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try {
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FeatureAttributeDescriptor[] desc = featType.getAttributeDescriptors();
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Object obj = null; |
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String fName = null; |
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sum = avg = sumAvg = nfeat = 0;
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for (int i = 0; i < desc.length; i++) { |
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String fieldName = desc[i].getName();
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if(fieldName.endsWith("_Max")) { |
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fName = rule.getFieldName("Max");
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if(fName != null) { |
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obj = feature.get(fName); |
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max = ((Number)obj).doubleValue();
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} |
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} |
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if(fieldName.endsWith("_Min")) { |
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fName = rule.getFieldName("Min");
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if(fName != null) { |
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obj = feature.get(fName); |
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min = ((Number)obj).doubleValue();
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} |
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} |
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fName = null;
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} |
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} catch (NumberFormatException e) { |
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Sextante.addErrorToLog(e); |
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} |
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} |
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public double getMax() { |
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return max;
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} |
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public void setMax(double max) { |
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this.max = max;
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} |
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public double getMin() { |
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return min;
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} |
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public void setMin(double min) { |
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this.min = min;
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} |
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public double getAvg() { |
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return avg;
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} |
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public void setAvg(double avg) { |
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this.avg = avg;
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} |
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public double getSum() { |
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return sum;
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} |
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public void setSum(double sum) { |
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this.sum = sum;
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} |
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} |