/*
* GeoTools - The Open Source Java GIS Toolkit
* http://geotools.org
*
* (C) 2014, Open Source Geospatial Foundation (OSGeo)
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation;
* version 2.1 of the License.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*/
package org.geotools.process.spatialstatistics.distribution;
import java.io.IOException;
import java.util.HashMap;
import java.util.Iterator;
import java.util.logging.Level;
import java.util.logging.Logger;
import org.geotools.data.simple.SimpleFeatureCollection;
import org.geotools.data.simple.SimpleFeatureIterator;
import org.geotools.process.spatialstatistics.core.FeatureTypes;
import org.geotools.process.spatialstatistics.core.FeatureTypes.SimpleShapeType;
import org.geotools.process.spatialstatistics.storage.IFeatureInserter;
import org.geotools.util.logging.Logging;
import org.opengis.feature.simple.SimpleFeature;
import org.opengis.feature.simple.SimpleFeatureType;
import org.opengis.referencing.crs.CoordinateReferenceSystem;
import com.vividsolutions.jts.geom.Geometry;
import com.vividsolutions.jts.geom.LineString;
/**
* Identifies the mean direction, length, and geographic center for a set of lines.
*
* @author Minpa Lee, MangoSystem
*
* @source $URL$
*/
public class LinearDirectionalMeanOperation extends AbstractDisributionOperator {
protected static final Logger LOGGER = Logging.getLogger(LinearDirectionalMeanOperation.class);
static final String TYPE_NAME = "LinearDirectionalMean";
String[] FIELDS = { "CompassA", "DirMean", "CirVar", "AveX", "AveY", "AveLen" };
public SimpleFeatureCollection execute(SimpleFeatureCollection features,
boolean orientationOnly, String caseField) throws IOException {
SimpleFeatureType schema = features.getSchema();
if (FeatureTypes.getSimpleShapeType(schema) != SimpleShapeType.LINESTRING) {
LOGGER.log(Level.SEVERE, schema.getTypeName() + " is not a linestring features!");
return null;
}
caseField = FeatureTypes.validateProperty(schema, caseField);
int idxCase = caseField == null ? -1 : schema.indexOf(caseField);
LinearDirectionalMeanVisitor visitor = new LinearDirectionalMeanVisitor();
visitor.setOrientationOnly(orientationOnly);
SimpleFeatureIterator featureIter = features.features();
try {
while (featureIter.hasNext()) {
SimpleFeature feature = featureIter.next();
Geometry geometry = (Geometry) feature.getDefaultGeometry();
if (geometry == null || geometry.isEmpty()) {
continue;
}
// Case Field
Object caseVal = idxCase == -1 ? ALL : feature.getAttribute(idxCase);
visitor.visit(geometry, caseVal);
}
} finally {
featureIter.close();
}
// build feature collection
CoordinateReferenceSystem crs = schema.getCoordinateReferenceSystem();
String geomName = schema.getGeometryDescriptor().getLocalName();
SimpleFeatureType featureType = FeatureTypes.getDefaultType(TYPE_NAME, geomName,
LineString.class, crs);
for (String field : FIELDS) {
featureType = FeatureTypes.add(featureType, field, Double.class, 38);
}
if (idxCase != -1) {
featureType = FeatureTypes.add(featureType, schema.getDescriptor(caseField));
}
IFeatureInserter featureWriter = getFeatureWriter(featureType);
@SuppressWarnings("unchecked")
HashMap<Object, LinearDirectionalMean> resultMap = visitor.getResult();
Iterator<Object> iter = resultMap.keySet().iterator();
try {
while (iter.hasNext()) {
Object caseVal = iter.next();
LinearDirectionalMean curDm = resultMap.get(caseVal);
SimpleFeature newFeature = featureWriter.buildFeature();
newFeature.setDefaultGeometry(curDm.getDirectionalLine());
if (idxCase != -1) {
newFeature.setAttribute(caseField, caseVal);
}
double degreeAngle = curDm.getDegreeAngle();
if (orientationOnly) {
degreeAngle = degreeAngle - 180.0;
}
newFeature.setAttribute(FIELDS[0], degreeAngle);
newFeature.setAttribute(FIELDS[1], curDm.getDirMean());
newFeature.setAttribute(FIELDS[2], curDm.getCirVar());
newFeature.setAttribute(FIELDS[3], curDm.getMeanX());
newFeature.setAttribute(FIELDS[4], curDm.getMeanY());
newFeature.setAttribute(FIELDS[5], curDm.getMeanLength());
featureWriter.write(newFeature);
}
} catch (IOException e) {
featureWriter.rollback(e);
} finally {
featureWriter.close();
}
return featureWriter.getFeatureCollection();
}
}