| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
| 7 |
|
| 8 |
|
| 9 |
|
| 10 |
|
| 11 |
|
| 12 |
|
| 13 |
package org.locationtech.jts.operation.distance; |
| 14 |
|
| 15 |
import org.locationtech.jts.geom.Coordinate; |
| 16 |
import org.locationtech.jts.geom.Geometry; |
| 17 |
import org.locationtech.jts.geom.Lineal; |
| 18 |
import org.locationtech.jts.geom.Polygonal; |
| 19 |
import org.locationtech.jts.geom.Puntal; |
| 20 |
import org.locationtech.jts.index.strtree.ItemBoundable; |
| 21 |
import org.locationtech.jts.index.strtree.ItemDistance; |
| 22 |
import org.locationtech.jts.index.strtree.STRtree; |
| 23 |
|
| 24 |
/** |
| 25 |
* Computes the distance between the facets (segments and vertices) |
| 26 |
* of two {@link Geometry}s |
| 27 |
* using a Branch-and-Bound algorithm. |
| 28 |
* The Branch-and-Bound algorithm operates over a |
| 29 |
* traversal of R-trees built |
| 30 |
* on the target and the query geometries. |
| 31 |
* <p> |
| 32 |
* This approach provides the following benefits: |
| 33 |
* <ul> |
| 34 |
* <li>Performance is dramatically improved due to the use of the |
| 35 |
* R-tree index |
| 36 |
* and the pruning due to the Branch-and-Bound approach |
| 37 |
* <li>The spatial index on the target geometry is cached |
| 38 |
* which allow reuse in an repeated query situation. |
| 39 |
* </ul> |
| 40 |
* Using this technique is usually much more performant |
| 41 |
* than using the brute-force {@link Geometry#distance(Geometry)} |
| 42 |
* when one or both input geometries are large, |
| 43 |
* or when evaluating many distance computations against |
| 44 |
* a single geometry. |
| 45 |
* <p> |
| 46 |
* This class is thread-safe. |
| 47 |
* |
| 48 |
* @author Martin Davis |
| 49 |
* |
| 50 |
*/ |
| 51 |
public class IndexedFacetDistance |
| 52 |
{ |
| 53 |
private static final FacetSequenceDistance FACET_SEQ_DIST = new FacetSequenceDistance(); |
| 54 |
|
| 55 |
/** |
| 56 |
* Computes the distance between facets of two geometries. |
| 57 |
* <p> |
| 58 |
* For geometries with many segments or points, |
| 59 |
* this can be faster than using a simple distance |
| 60 |
* algorithm. |
| 61 |
* |
| 62 |
* @param g1 a geometry |
| 63 |
* @param g2 a geometry |
| 64 |
* @return the distance between facets of the geometries |
| 65 |
*/ |
| 66 |
public static double distance(Geometry g1, Geometry g2) |
| 67 |
{ |
| 68 |
IndexedFacetDistance dist = new IndexedFacetDistance(g1); |
| 69 |
return dist.distance(g2); |
| 70 |
} |
| 71 |
|
| 72 |
/** |
| 73 |
* Tests whether the facets of two geometries lie within a given distance. |
| 74 |
* |
| 75 |
* @param g1 a geometry |
| 76 |
* @param g2 a geometry |
| 77 |
* @param distance the distance limit |
| 78 |
* @return true if two facets lie with the given distance |
| 79 |
*/ |
| 80 |
public static boolean isWithinDistance(Geometry g1, Geometry g2, double distance) { |
| 81 |
IndexedFacetDistance dist = new IndexedFacetDistance(g1); |
| 82 |
return dist.isWithinDistance(g2, distance); |
| 83 |
} |
| 84 |
|
| 85 |
/** |
| 86 |
* Computes the nearest points of the facets of two geometries. |
| 87 |
* |
| 88 |
* @param g1 a geometry |
| 89 |
* @param g2 a geometry |
| 90 |
* @return the nearest points on the facets of the geometries |
| 91 |
*/ |
| 92 |
public static Coordinate[] nearestPoints(Geometry g1, Geometry g2) { |
| 93 |
IndexedFacetDistance dist = new IndexedFacetDistance(g1); |
| 94 |
return dist.nearestPoints(g2); |
| 95 |
} |
| 96 |
|
| 97 |
private STRtree cachedTree; |
| 98 |
private Geometry baseGeometry; |
| 99 |
|
| 100 |
/** |
| 101 |
* Creates a new distance-finding instance for a given target {@link Geometry}. |
| 102 |
* <p> |
| 103 |
* Distances will be computed to all facets of the input geometry. |
| 104 |
* The facets of the geometry are the discrete segments and points |
| 105 |
* contained in its components. |
| 106 |
* In the case of {@link Lineal} and {@link Puntal} inputs, |
| 107 |
* this is equivalent to computing the conventional distance. |
| 108 |
* In the case of {@link Polygonal} inputs, this is equivalent |
| 109 |
* to computing the distance to the polygon boundaries. |
| 110 |
* |
| 111 |
* @param geom a Geometry, which may be of any type. |
| 112 |
*/ |
| 113 |
public IndexedFacetDistance(Geometry geom) { |
| 114 |
this.baseGeometry = geom; |
| 115 |
cachedTree = FacetSequenceTreeBuilder.build(geom); |
| 116 |
} |
| 117 |
|
| 118 |
/** |
| 119 |
* Computes the distance from the base geometry to |
| 120 |
* the given geometry. |
| 121 |
* |
| 122 |
* @param g the geometry to compute the distance to |
| 123 |
* |
| 124 |
* @return the computed distance |
| 125 |
*/ |
| 126 |
public double distance(Geometry g) |
| 127 |
{ |
| 128 |
STRtree tree2 = FacetSequenceTreeBuilder.build(g); |
| 129 |
Object[] obj = cachedTree.nearestNeighbour(tree2, |
| 130 |
FACET_SEQ_DIST); |
| 131 |
FacetSequence fs1 = (FacetSequence) obj[0]; |
| 132 |
FacetSequence fs2 = (FacetSequence) obj[1]; |
| 133 |
return fs1.distance(fs2); |
| 134 |
} |
| 135 |
|
| 136 |
/** |
| 137 |
* Computes the nearest locations on the base geometry |
| 138 |
* and the given geometry. |
| 139 |
* |
| 140 |
* @param g the geometry to compute the nearest location to |
| 141 |
* @return the nearest locations |
| 142 |
*/ |
| 143 |
public GeometryLocation[] nearestLocations(Geometry g) |
| 144 |
{ |
| 145 |
STRtree tree2 = FacetSequenceTreeBuilder.build(g); |
| 146 |
Object[] obj = cachedTree.nearestNeighbour(tree2, |
| 147 |
FACET_SEQ_DIST); |
| 148 |
FacetSequence fs1 = (FacetSequence) obj[0]; |
| 149 |
FacetSequence fs2 = (FacetSequence) obj[1]; |
| 150 |
return fs1.nearestLocations(fs2); |
| 151 |
} |
| 152 |
|
| 153 |
/** |
| 154 |
* Compute the nearest locations on the target geometry |
| 155 |
* and the given geometry. |
| 156 |
* |
| 157 |
* @param g the geometry to compute the nearest point to |
| 158 |
* @return the nearest points |
| 159 |
*/ |
| 160 |
public Coordinate[] nearestPoints(Geometry g) { |
| 161 |
GeometryLocation[] minDistanceLocation = nearestLocations(g); |
| 162 |
Coordinate[] nearestPts = toPoints(minDistanceLocation); |
| 163 |
return nearestPts; |
| 164 |
} |
| 165 |
|
| 166 |
private static Coordinate[] toPoints(GeometryLocation[] locations) { |
| 167 |
if (locations == null) |
| 168 |
return null; |
| 169 |
Coordinate[] nearestPts = new Coordinate[] { |
| 170 |
locations[0].getCoordinate(), |
| 171 |
locations[1].getCoordinate() }; |
| 172 |
return nearestPts; |
| 173 |
} |
| 174 |
|
| 175 |
/** |
| 176 |
* Tests whether the base geometry lies within |
| 177 |
* a specified distance of the given geometry. |
| 178 |
* |
| 179 |
* @param g the geometry to test |
| 180 |
* @param maxDistance the maximum distance to test |
| 181 |
* @return true if the geometry lies with the specified distance |
| 182 |
*/ |
| 183 |
public boolean isWithinDistance(Geometry g, double maxDistance) { |
| 184 |
|
| 185 |
double envDist = baseGeometry.getEnvelopeInternal().distance(g.getEnvelopeInternal()); |
| 186 |
if (envDist > maxDistance) |
| 187 |
return false; |
| 188 |
|
| 189 |
STRtree tree2 = FacetSequenceTreeBuilder.build(g); |
| 190 |
return cachedTree.isWithinDistance(tree2, |
| 191 |
FACET_SEQ_DIST, maxDistance); |
| 192 |
} |
| 193 |
|
| 194 |
private static class FacetSequenceDistance |
| 195 |
implements ItemDistance |
| 196 |
{ |
| 197 |
public double distance(ItemBoundable item1, ItemBoundable item2) { |
| 198 |
FacetSequence fs1 = (FacetSequence) item1.getItem(); |
| 199 |
FacetSequence fs2 = (FacetSequence) item2.getItem(); |
| 200 |
return fs1.distance(fs2); |
| 201 |
} |
| 202 |
} |
| 203 |
|
| 204 |
|
| 205 |
|
| 206 |
} |
| 207 |
|
| 208 |
|
| 209 |
|