com.vividsolutions.jts.precision.MinimumClearance Maven / Gradle / Ivy
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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.precision;
import com.vividsolutions.jts.algorithm.CGAlgorithms;
import com.vividsolutions.jts.geom.*;
import com.vividsolutions.jts.geom.Geometry;
import com.vividsolutions.jts.geom.LineSegment;
import com.vividsolutions.jts.geom.LineString;
import com.vividsolutions.jts.geom.Lineal;
import com.vividsolutions.jts.geom.Point;
import com.vividsolutions.jts.index.strtree.ItemBoundable;
import com.vividsolutions.jts.index.strtree.ItemDistance;
import com.vividsolutions.jts.index.strtree.STRtree;
import com.vividsolutions.jts.operation.distance.FacetSequence;
import com.vividsolutions.jts.operation.distance.FacetSequenceTreeBuilder;
/**
* Computes the Minimum Clearance of a {@link Geometry}.
*
* The Minimum Clearance is a measure of
* what magnitude of perturbation of
* the vertices of a geometry can be tolerated
* before the geometry becomes topologically invalid.
* The smaller the Minimum Clearance distance,
* the less vertex pertubation the geometry can tolerate
* before becoming invalid.
*
* The concept was introduced by Thompson and Van Oosterom
* [TV06], based on earlier work by Milenkovic [Mi88].
*
* The Minimum Clearance of a geometry G
* is defined to be the value r
* such that "the movement of all points by a distance
* of r in any direction will
* guarantee to leave the geometry valid" [TV06].
* An equivalent constructive definition [Mi88] is that
* r is the largest value such:
*
* - No two distinct vertices of G are closer than r
*
- No vertex of G is closer than r to an edge of G
* of which the vertex is not an endpoint
*
* The following image shows an example of the Minimum Clearance
* of a simple polygon.
*
*
* If G has only a single vertex (i.e. is a
* {@link Point}), the value of the minimum clearance
* is {@link Double#MAX_VALUE}.
*
* If G is a {@link Puntal} or {@link Lineal} geometry,
* then in fact no amount of perturbation
* will render the geometry invalid.
* In this case a Minimum Clearance is still computed
* based on the vertex and segment distances
* according to the constructive definition.
*
* It is possible for no Minimum Clearance to exist.
* For instance, a {@link MultiPoint} with all members identical
* has no Minimum Clearance
* (i.e. no amount of perturbation will cause
* the member points to become non-identical).
* Empty geometries also have no such distance.
* The lack of a meaningful MinimumClearance distance is detected
* and suitable values are returned by
* {@link #getDistance()} and {@link #getLine()}.
*
* The computation of Minimum Clearance utilizes
* the {@link STRtree#nearestNeighbour(ItemDistance)}
* method to provide good performance even for
* large inputs.
*
* An interesting note is that for the case of {@link MultiPoint}s,
* the computed Minimum Clearance line
* effectively determines the Nearest Neighbours in the collection.
*
*
References
*
* - [Mi88] Milenkovic, V. J.,
* Verifiable implementations of geometric algorithms
* using finite precision arithmetic.
* in Artificial Intelligence, 377-401. 1988
*
- [TV06] Thompson, Rod and van Oosterom, Peter,
* Interchange of Spatial Data-Inhibiting Factors,
* Agile 2006, Visegrad, Hungary. 2006
*
*
* @author Martin Davis
*
*/
public class MinimumClearance
{
/**
* Computes the Minimum Clearance distance for
* the given Geometry.
*
* @param g the input geometry
* @return the Minimum Clearance distance
*/
public static double getDistance(Geometry g)
{
MinimumClearance rp = new MinimumClearance(g);
return rp.getDistance();
}
/**
* Gets a LineString containing two points
* which are at the Minimum Clearance distance
* for the given Geometry.
*
* @param g the input geometry
* @return the value of the minimum clearance distance
* @return LINESTRING EMPTY if no Minimum Clearance distance exists
*/
public static Geometry getLine(Geometry g)
{
MinimumClearance rp = new MinimumClearance(g);
return rp.getLine();
}
private Geometry inputGeom;
private double minClearance;
private Coordinate[] minClearancePts;
/**
* Creates an object to compute the Minimum Clearance
* for the given Geometry
*
* @param geom the input geometry
*/
public MinimumClearance(Geometry geom)
{
inputGeom = geom;
}
/**
* Gets the Minimum Clearance distance.
*
* If no distance exists
* (e.g. in the case of two identical points)
* Double.MAX_VALUE is returned.
*
* @return the value of the minimum clearance distance
* @return Double.MAX_VALUE if no Minimum Clearance distance exists
*/
public double getDistance()
{
compute();
return minClearance;
}
/**
* Gets a LineString containing two points
* which are at the Minimum Clearance distance.
*
* If no distance could be found
* (e.g. in the case of two identical points)
* LINESTRING EMPTY is returned.
*
* @return the value of the minimum clearance distance
* @return LINESTRING EMPTY if no Minimum Clearance distance exists
*/
public LineString getLine()
{
compute();
// return empty line string if no min pts where found
if (minClearancePts == null || minClearancePts[0] == null)
return inputGeom.getFactory().createLineString((Coordinate[]) null);
return inputGeom.getFactory().createLineString(minClearancePts);
}
private void compute()
{
// already computed
if (minClearancePts != null) return;
// initialize to "No Distance Exists" state
minClearancePts = new Coordinate[2];
minClearance = Double.MAX_VALUE;
// handle empty geometries
if (inputGeom.isEmpty()) {
return;
}
STRtree geomTree = FacetSequenceTreeBuilder.build(inputGeom);
Object[] nearest = geomTree.nearestNeighbour(new MinClearanceDistance());
MinClearanceDistance mcd = new MinClearanceDistance();
minClearance = mcd.distance(
(FacetSequence) nearest[0],
(FacetSequence) nearest[1]);
minClearancePts = mcd.getCoordinates();
}
/**
* Implements the MinimumClearance distance function:
*
* - dist(p1, p2) =
*
* - p1 != p2 : p1.distance(p2)
*
- p1 == p2 : Double.MAX
*
* - dist(p, seg) =
*
* - p != seq.p1 && p != seg.p2 : seg.distance(p)
*
- ELSE : Double.MAX
*
*
* Also computes the values of the nearest points, if any.
*
* @author Martin Davis
*
*/
private static class MinClearanceDistance
implements ItemDistance
{
private double minDist = Double.MAX_VALUE;
private Coordinate[] minPts = new Coordinate[2];
public Coordinate[] getCoordinates()
{
return minPts;
}
public double distance(ItemBoundable b1, ItemBoundable b2) {
FacetSequence fs1 = (FacetSequence) b1.getItem();
FacetSequence fs2 = (FacetSequence) b2.getItem();
minDist = Double.MAX_VALUE;
return distance(fs1, fs2);
}
public double distance(FacetSequence fs1, FacetSequence fs2) {
// compute MinClearance distance metric
vertexDistance(fs1, fs2);
if (fs1.size() == 1 && fs2.size() == 1) return minDist;
if (minDist <= 0.0) return minDist;
segmentDistance(fs1, fs2);
if (minDist <= 0.0) return minDist;
segmentDistance(fs2, fs1);
return minDist;
}
private double vertexDistance(FacetSequence fs1, FacetSequence fs2) {
for (int i1 = 0; i1 < fs1.size(); i1++) {
for (int i2 = 0; i2 < fs2.size(); i2++) {
Coordinate p1 = fs1.getCoordinate(i1);
Coordinate p2 = fs2.getCoordinate(i2);
if (! p1.equals2D(p2)) {
double d = p1.distance(p2);
if (d < minDist) {
minDist = d;
minPts[0] = p1;
minPts[1] = p2;
if (d == 0.0)
return d;
}
}
}
}
return minDist;
}
private double segmentDistance(FacetSequence fs1, FacetSequence fs2) {
for (int i1 = 0; i1 < fs1.size(); i1++) {
for (int i2 = 1; i2 < fs2.size(); i2++) {
Coordinate p = fs1.getCoordinate(i1);
Coordinate seg0 = fs2.getCoordinate(i2-1);
Coordinate seg1 = fs2.getCoordinate(i2);
if (! (p.equals2D(seg0) || p.equals2D(seg1))) {
double d = CGAlgorithms.distancePointLine(p, seg0, seg1);
if (d < minDist) {
minDist = d;
updatePts(p, seg0, seg1);
if (d == 0.0)
return d;
}
}
}
}
return minDist;
}
private void updatePts(Coordinate p, Coordinate seg0, Coordinate seg1)
{
minPts[0] = p;
LineSegment seg = new LineSegment(seg0, seg1);
minPts[1] = new Coordinate(seg.closestPoint(p));
}
}
}