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The JTS Topology Suite is an API for modelling and manipulating 2-dimensional linear geometry. It provides numerous geometric predicates and functions. JTS conforms to the Simple Features Specification for SQL published by the Open GIS Consortium.

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/*
 * The JTS Topology Suite is a collection of Java classes that
 * implement the fundamental operations required to validate a given
 * geo-spatial data set to a known topological specification.
 *
 * Copyright (C) 2001 Vivid Solutions
 *
 * 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; either
 * version 2.1 of the License, or (at your option) any later version.
 *
 * 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.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 *
 * For more information, contact:
 *
 *     Vivid Solutions
 *     Suite #1A
 *     2328 Government Street
 *     Victoria BC  V8T 5G5
 *     Canada
 *
 *     (250)385-6040
 *     www.vividsolutions.com
 */
package com.vividsolutions.jts.noding.snapround;

import java.util.*;
import com.vividsolutions.jts.geom.*;
import com.vividsolutions.jts.algorithm.*;
import com.vividsolutions.jts.noding.*;

/**
 * Uses Snap Rounding to compute a rounded,
 * fully noded arrangement from a set of {@link SegmentString}s.
 * Implements the Snap Rounding technique described in 
 * papers by Hobby, Guibas & Marimont, and Goodrich et al.
 * Snap Rounding assumes that all vertices lie on a uniform grid;
 * hence the precision model of the input must be fixed precision,
 * and all the input vertices must be rounded to that precision.
 * 

* This implementation uses a monotone chains and a spatial index to * speed up the intersection tests. *

* This implementation appears to be fully robust using an integer precision model. * It will function with non-integer precision models, but the * results are not 100% guaranteed to be correctly noded. * * @version 1.7 */ public class MCIndexSnapRounder implements Noder { private final PrecisionModel pm; private LineIntersector li; private final double scaleFactor; private MCIndexNoder noder; private MCIndexPointSnapper pointSnapper; private Collection nodedSegStrings; public MCIndexSnapRounder(PrecisionModel pm) { this.pm = pm; li = new RobustLineIntersector(); li.setPrecisionModel(pm); scaleFactor = pm.getScale(); } public Collection getNodedSubstrings() { return NodedSegmentString.getNodedSubstrings(nodedSegStrings); } public void computeNodes(Collection inputSegmentStrings) { this.nodedSegStrings = inputSegmentStrings; noder = new MCIndexNoder(); pointSnapper = new MCIndexPointSnapper(noder.getMonotoneChains(), noder.getIndex()); snapRound(inputSegmentStrings, li); // testing purposes only - remove in final version //checkCorrectness(inputSegmentStrings); } private void checkCorrectness(Collection inputSegmentStrings) { Collection resultSegStrings = NodedSegmentString.getNodedSubstrings(inputSegmentStrings); NodingValidator nv = new NodingValidator(resultSegStrings); try { nv.checkValid(); } catch (Exception ex) { ex.printStackTrace(); } } private void snapRound(Collection segStrings, LineIntersector li) { List intersections = findInteriorIntersections(segStrings, li); computeIntersectionSnaps(intersections); computeVertexSnaps(segStrings); } /** * Computes all interior intersections in the collection of {@link SegmentString}s, * and returns their @link Coordinate}s. * * Does NOT node the segStrings. * * @return a list of Coordinates for the intersections */ private List findInteriorIntersections(Collection segStrings, LineIntersector li) { IntersectionFinderAdder intFinderAdder = new IntersectionFinderAdder(li); noder.setSegmentIntersector(intFinderAdder); noder.computeNodes(segStrings); return intFinderAdder.getInteriorIntersections(); } /** * Computes nodes introduced as a result of snapping segments to snap points (hot pixels) */ private void computeIntersectionSnaps(Collection snapPts) { for (Iterator it = snapPts.iterator(); it.hasNext(); ) { Coordinate snapPt = (Coordinate) it.next(); HotPixel hotPixel = new HotPixel(snapPt, scaleFactor, li); pointSnapper.snap(hotPixel); } } /** * Computes nodes introduced as a result of * snapping segments to vertices of other segments * * @param edges the list of segment strings to snap together */ public void computeVertexSnaps(Collection edges) { for (Iterator i0 = edges.iterator(); i0.hasNext(); ) { NodedSegmentString edge0 = (NodedSegmentString) i0.next(); computeVertexSnaps(edge0); } } /** * Performs a brute-force comparison of every segment in each {@link SegmentString}. * This has n^2 performance. */ private void computeVertexSnaps(NodedSegmentString e) { Coordinate[] pts0 = e.getCoordinates(); for (int i = 0; i < pts0.length - 1; i++) { HotPixel hotPixel = new HotPixel(pts0[i], scaleFactor, li); boolean isNodeAdded = pointSnapper.snap(hotPixel, e, i); // if a node is created for a vertex, that vertex must be noded too if (isNodeAdded) { e.addIntersection(pts0[i], i); } } } }





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