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package org.locationtech.jts.precision; |
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import org.locationtech.jts.algorithm.Distance; |
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import org.locationtech.jts.geom.Coordinate; |
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import org.locationtech.jts.geom.Geometry; |
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import org.locationtech.jts.geom.LineSegment; |
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import org.locationtech.jts.geom.LineString; |
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import org.locationtech.jts.geom.Lineal; |
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import org.locationtech.jts.geom.MultiPoint; |
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import org.locationtech.jts.geom.Point; |
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import org.locationtech.jts.geom.Puntal; |
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import org.locationtech.jts.index.strtree.ItemBoundable; |
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import org.locationtech.jts.index.strtree.ItemDistance; |
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import org.locationtech.jts.index.strtree.STRtree; |
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import org.locationtech.jts.operation.distance.FacetSequence; |
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import org.locationtech.jts.operation.distance.FacetSequenceTreeBuilder; |
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|
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/** |
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* Computes the Minimum Clearance of a {@link Geometry}. |
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* <p> |
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* The <b>Minimum Clearance</b> is a measure of |
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* what magnitude of perturbation of |
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* the vertices of a geometry can be tolerated |
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* before the geometry becomes topologically invalid. |
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* The smaller the Minimum Clearance distance, |
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* the less vertex perturbation the geometry can tolerate |
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* before becoming invalid. |
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* <p> |
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* The concept was introduced by Thompson and Van Oosterom |
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* [TV06], based on earlier work by Milenkovic [Mi88]. |
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* <p> |
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* The Minimum Clearance of a geometry G |
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* is defined to be the value <i>r</i> |
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* such that "the movement of all points by a distance |
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* of <i>r</i> in any direction will |
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* guarantee to leave the geometry valid" [TV06]. |
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* An equivalent constructive definition [Mi88] is that |
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* <i>r</i> is the largest value such: |
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* <ol> |
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* <li>No two distinct vertices of G are closer than <i>r</i> |
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* <li>No vertex of G is closer than <i>r</i> to an edge of G |
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* of which the vertex is not an endpoint |
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* </ol> |
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* The following image shows an example of the Minimum Clearance |
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* of a simple polygon. |
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* <p> |
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* <center><img src='doc-files/minClearance.png'></center> |
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* <p> |
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* If G has only a single vertex (i.e. is a |
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* {@link Point}), the value of the minimum clearance |
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* is {@link Double#MAX_VALUE}. |
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* <p> |
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* If G is a {@link Puntal} or {@link Lineal} geometry, |
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* then in fact no amount of perturbation |
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* will render the geometry invalid. |
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* In this case a Minimum Clearance is still computed |
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* based on the vertex and segment distances |
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* according to the constructive definition. |
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* <p> |
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* It is possible for no Minimum Clearance to exist. |
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* For instance, a {@link MultiPoint} with all members identical |
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* has no Minimum Clearance |
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* (i.e. no amount of perturbation will cause |
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* the member points to become non-identical). |
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* Empty geometries also have no such distance. |
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* The lack of a meaningful MinimumClearance distance is detected |
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* and suitable values are returned by |
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* {@link #getDistance()} and {@link #getLine()}. |
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* <p> |
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* The computation of Minimum Clearance utilizes |
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* the {@link STRtree#nearestNeighbour(ItemDistance)} |
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* method to provide good performance even for |
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* large inputs. |
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* <p> |
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* An interesting note is that for the case of {@link MultiPoint}s, |
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* the computed Minimum Clearance line |
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* effectively determines the Nearest Neighbours in the collection. |
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* |
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* <h3>References</h3> |
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* <ul> |
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* <li>[Mi88] Milenkovic, V. J., |
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* <i>Verifiable implementations of geometric algorithms |
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* using finite precision arithmetic</i>. |
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* in Artificial Intelligence, 377-401. 1988 |
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* <li>[TV06] Thompson, Rod and van Oosterom, Peter, |
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* <i>Interchange of Spatial Data-Inhibiting Factors</i>, |
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* Agile 2006, Visegrad, Hungary. 2006 |
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* </ul> |
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* |
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* @author Martin Davis |
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* |
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*/ |
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public class MinimumClearance |
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{ |
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/** |
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* Computes the Minimum Clearance distance for |
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* the given Geometry. |
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* |
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* @param g the input geometry |
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* @return the Minimum Clearance distance |
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*/ |
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public static double getDistance(Geometry g) |
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{ |
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MinimumClearance rp = new MinimumClearance(g); |
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return rp.getDistance(); |
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} |
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|
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/** |
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* Gets a LineString containing two points |
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* which are at the Minimum Clearance distance |
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* for the given Geometry. |
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* |
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* @param g the input geometry |
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* @return the value of the minimum clearance distance |
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* or <tt>LINESTRING EMPTY</tt> if no Minimum Clearance distance exists |
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*/ |
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public static Geometry getLine(Geometry g) |
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{ |
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MinimumClearance rp = new MinimumClearance(g); |
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return rp.getLine(); |
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} |
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private Geometry inputGeom; |
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private double minClearance; |
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private Coordinate[] minClearancePts; |
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|
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/** |
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* Creates an object to compute the Minimum Clearance |
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* for the given Geometry |
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* |
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* @param geom the input geometry |
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*/ |
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public MinimumClearance(Geometry geom) |
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{ |
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inputGeom = geom; |
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} |
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|
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/** |
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* Gets the Minimum Clearance distance. |
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* <p> |
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* If no distance exists |
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* (e.g. in the case of two identical points) |
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* <tt>Double.MAX_VALUE</tt> is returned. |
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* |
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* @return the value of the minimum clearance distance |
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* or <tt>Double.MAX_VALUE</tt> if no Minimum Clearance distance exists |
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*/ |
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public double getDistance() |
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{ |
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compute(); |
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return minClearance; |
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} |
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|
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/** |
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* Gets a LineString containing two points |
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* which are at the Minimum Clearance distance. |
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* <p> |
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* If no distance could be found |
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* (e.g. in the case of two identical points) |
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* <tt>LINESTRING EMPTY</tt> is returned. |
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* |
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* @return the value of the minimum clearance distance |
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* or <tt>LINESTRING EMPTY</tt> if no Minimum Clearance distance exists |
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*/ |
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public LineString getLine() |
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{ |
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compute(); |
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if (minClearancePts == null || minClearancePts[0] == null) |
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return inputGeom.getFactory().createLineString(); |
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return inputGeom.getFactory().createLineString(minClearancePts); |
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} |
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private void compute() |
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{ |
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if (minClearancePts != null) return; |
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minClearancePts = new Coordinate[2]; |
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minClearance = Double.MAX_VALUE; |
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if (inputGeom.isEmpty()) { |
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return; |
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} |
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STRtree geomTree = FacetSequenceTreeBuilder.build(inputGeom); |
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Object[] nearest = geomTree.nearestNeighbour(new MinClearanceDistance()); |
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MinClearanceDistance mcd = new MinClearanceDistance(); |
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minClearance = mcd.distance( |
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(FacetSequence) nearest[0], |
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(FacetSequence) nearest[1]); |
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minClearancePts = mcd.getCoordinates(); |
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} |
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/** |
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* Implements the MinimumClearance distance function: |
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* <ul> |
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* <li>dist(p1, p2) = |
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* <ul> |
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* <li>p1 != p2 : p1.distance(p2) |
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* <li>p1 == p2 : Double.MAX |
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* </ul> |
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* <li>dist(p, seg) = |
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* <ul> |
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* <li>p != seq.p1 && p != seg.p2 : seg.distance(p) |
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* <li>ELSE : Double.MAX |
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* </ul> |
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* </ul> |
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* Also computes the values of the nearest points, if any. |
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* |
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* @author Martin Davis |
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* |
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*/ |
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private static class MinClearanceDistance |
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implements ItemDistance |
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{ |
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private double minDist = Double.MAX_VALUE; |
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private Coordinate[] minPts = new Coordinate[2]; |
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public Coordinate[] getCoordinates() |
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{ |
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return minPts; |
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} |
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public double distance(ItemBoundable b1, ItemBoundable b2) { |
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FacetSequence fs1 = (FacetSequence) b1.getItem(); |
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FacetSequence fs2 = (FacetSequence) b2.getItem(); |
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minDist = Double.MAX_VALUE; |
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return distance(fs1, fs2); |
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} |
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public double distance(FacetSequence fs1, FacetSequence fs2) { |
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vertexDistance(fs1, fs2); |
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if (fs1.size() == 1 && fs2.size() == 1) return minDist; |
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if (minDist <= 0.0) return minDist; |
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segmentDistance(fs1, fs2); |
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if (minDist <= 0.0) return minDist; |
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segmentDistance(fs2, fs1); |
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return minDist; |
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} |
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private double vertexDistance(FacetSequence fs1, FacetSequence fs2) { |
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for (int i1 = 0; i1 < fs1.size(); i1++) { |
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for (int i2 = 0; i2 < fs2.size(); i2++) { |
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Coordinate p1 = fs1.getCoordinate(i1); |
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Coordinate p2 = fs2.getCoordinate(i2); |
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if (! p1.equals2D(p2)) { |
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double d = p1.distance(p2); |
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if (d < minDist) { |
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minDist = d; |
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minPts[0] = p1; |
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minPts[1] = p2; |
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if (d == 0.0) |
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return d; |
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} |
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} |
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} |
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} |
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return minDist; |
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} |
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private double segmentDistance(FacetSequence fs1, FacetSequence fs2) { |
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for (int i1 = 0; i1 < fs1.size(); i1++) { |
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for (int i2 = 1; i2 < fs2.size(); i2++) { |
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Coordinate p = fs1.getCoordinate(i1); |
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Coordinate seg0 = fs2.getCoordinate(i2-1); |
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Coordinate seg1 = fs2.getCoordinate(i2); |
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if (! (p.equals2D(seg0) || p.equals2D(seg1))) { |
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double d = Distance.pointToSegment(p, seg0, seg1); |
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if (d < minDist) { |
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minDist = d; |
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updatePts(p, seg0, seg1); |
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if (d == 0.0) |
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return d; |
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} |
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} |
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} |
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} |
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return minDist; |
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} |
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private void updatePts(Coordinate p, Coordinate seg0, Coordinate seg1) |
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{ |
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minPts[0] = p; |
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LineSegment seg = new LineSegment(seg0, seg1); |
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minPts[1] = new Coordinate(seg.closestPoint(p)); |
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} |
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} |
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} |
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