Java tutorial
/* *********************************************************************** * * project: org.matsim.* * TripDistanceTask.java * * * *********************************************************************** * * * * copyright : (C) 2011 by the members listed in the COPYING, * * LICENSE and WARRANTY file. * * email : info at matsim dot org * * * * *********************************************************************** * * * * This program is free software; you can redistribute it and/or modify * * it under the terms of the GNU General Public License as published by * * the Free Software Foundation; either version 2 of the License, or * * (at your option) any later version. * * See also COPYING, LICENSE and WARRANTY file * * * * *********************************************************************** */ package playground.johannes.coopsim.analysis; import java.io.IOException; import java.util.Map; import java.util.Set; import org.apache.commons.math.stat.descriptive.DescriptiveStatistics; import org.matsim.facilities.ActivityFacilities; import playground.johannes.coopsim.pysical.Trajectory; import playground.johannes.sna.math.LinearDiscretizer; import playground.johannes.socialnetworks.gis.DistanceCalculator; import playground.johannes.socialnetworks.gis.OrthodromicDistanceCalculator; /** * @author illenberger * */ public class TripDistanceTaskLeisure extends TrajectoryAnalyzerTask { private final ActivityFacilities facilities; private final DistanceCalculator calculator; public TripDistanceTaskLeisure(ActivityFacilities facilities) { this.facilities = facilities; calculator = OrthodromicDistanceCalculator.getInstance(); } public TripDistanceTaskLeisure(ActivityFacilities facilities, DistanceCalculator calculator) { this.facilities = facilities; this.calculator = calculator; } @Override public void analyze(Set<Trajectory> trajectories, Map<String, DescriptiveStatistics> results) { DescriptiveStatistics stats = new TripDistanceMeanLeisure(facilities, calculator).statistics(trajectories); String key = "d_trip_leisure"; results.put(key, stats); try { writeHistograms(stats, key, 50, 50); double[] values = stats.getValues(); LinearDiscretizer lin = new LinearDiscretizer(500.0); DescriptiveStatistics linStats = new DescriptiveStatistics(); for (double d : values) linStats.addValue(lin.discretize(d)); // TrajectoryAnalyzerTask.overwriteStratification(50, 1); writeHistograms(linStats, key + ".lin", 50, 50); // TrajectoryAnalyzerTask.overwriteStratification(30, 1); } catch (IOException e) { e.printStackTrace(); } } }