java 克里金插值
时间: 2023-07-30 12:06:12 浏览: 275
java+wcount+geotools+克里金生成插值图
克里金插值(Kriging Interpolation)是一种空间插值方法,主要用于估计未知位置的数值或属性值。在Java中实现克里金插值可以使用第三方库,例如GeoTools、JTS Topology Suite等。下面以GeoTools为例给出实现代码:
```java
import org.geotools.data.DataUtilities;
import org.geotools.geometry.jts.JTSFactoryFinder;
import org.geotools.grid.GridCoverage2D;
import org.geotools.grid.GridCoverageFactory;
import org.geotools.grid.Interpolator;
import org.geotools.referencing.CRS;
import org.geotools.referencing.crs.DefaultGeographicCRS;
import org.locationtech.jts.geom.Coordinate;
import org.locationtech.jts.geom.GeometryFactory;
import javax.measure.quantity.Length;
import javax.measure.unit.SI;
import org.opengis.coverage.grid.GridCoordinates;
import org.opengis.coverage.grid.GridEnvelope;
import org.opengis.geometry.Envelope;
import org.opengis.referencing.crs.CoordinateReferenceSystem;
import org.opengis.referencing.operation.MathTransform;
import org.opengis.referencing.operation.TransformException;
public class KrigingInterpolation {
public static void main(String[] args) throws TransformException {
// 输入数据点坐标和属性值
Coordinate[] inputPoints = {
new Coordinate(0, 0),
new Coordinate(1, 0),
new Coordinate(2, 0),
new Coordinate(0, 1),
new Coordinate(1, 1),
new Coordinate(2, 1),
new Coordinate(0, 2),
new Coordinate(1, 2),
new Coordinate(2, 2)
};
double[] inputValues = {10, 20, 30, 15, 25, 35, 20, 30, 40};
// 创建插值器
GeometryFactory geometryFactory = JTSFactoryFinder.getGeometryFactory();
Interpolator interpolator = new org.geotools.grid.kriging.KrigingInterpolator(geometryFactory);
// 创建输入数据点的Geometry
org.geotools.geometry.DirectPositionList positionList = new org.geotools.geometry.DirectPositionList();
for (Coordinate inputPoint : inputPoints) {
positionList.add(new org.geotools.geometry.DirectPosition(inputPoint.x, inputPoint.y));
}
org.locationtech.jts.geom.Point inputPointGeom = geometryFactory.createMultiPointFromCoords(positionList.toArray(new org.locationtech.jts.geom.Coordinate[positionList.size()])).getCentroid();
// 创建输入数据点的属性值Feature
org.geotools.feature.simple.SimpleFeatureType featureType = DataUtilities.createType("Input", "geom:Point:srid=4326,value:Double");
org.geotools.feature.simple.SimpleFeatureBuilder featureBuilder = new org.geotools.feature.simple.SimpleFeatureBuilder(featureType);
featureBuilder.add(inputPointGeom);
featureBuilder.add(10.0);
org.geotools.feature.simple.SimpleFeature feature = featureBuilder.buildFeature("1");
feature.setDefaultGeometry(inputPointGeom);
// 创建GridEnvelope和Envelope
GridEnvelope gridEnvelope = new org.geotools.grid.GridEnvelope2D(new int[]{0, 0}, new int[]{2, 2});
Envelope envelope = new org.geotools.geometry.EnvelopeImpl(new Coordinate(0, 0), new Coordinate(2, 2), DefaultGeographicCRS.WGS84);
// 创建输出GridCoverage2D
GridCoverageFactory gridCoverageFactory = new org.geotools.grid.GridCoverageFactory();
GridCoverage2D outputGridCoverage2D = gridCoverageFactory.create("Output", feature, gridEnvelope, envelope);
// 设置插值参数
interpolator.setSearchRadius(10.0);
interpolator.setSigma(100.0);
interpolator.setAlpha(1.0);
// 插值
GridCoverage2D interpolatedGridCoverage2D = interpolator.interpolate(outputGridCoverage2D, inputPoints, inputValues);
// 输出插值结果
System.out.println("Interpolated grid coverage:");
for (int i = 0; i < interpolatedGridCoverage2D.getNumRows(); i++) {
for (int j = 0; j < interpolatedGridCoverage2D.getNumCols(); j++) {
GridCoordinates gridCoordinates = new org.geotools.grid.GridCoordinates2D(i, j);
org.opengis.geometry.DirectPosition directPosition = interpolatedGridCoverage2D.getGridGeometry().gridToWorld(gridCoordinates);
double value = interpolatedGridCoverage2D.evaluate(directPosition).doubleValue(SI.METER);
System.out.print(value + " ");
}
System.out.println();
}
}
}
```
上述代码中,首先定义了输入数据点坐标和属性值,然后创建了克里金插值器对象。接着通过GeoTools创建输入数据点的Geometry和属性值Feature,以及GridEnvelope和Envelope,最后用这些对象创建输出GridCoverage2D。在插值前,设置了插值参数。最后调用插值器的interpolate方法进行插值,并输出插值结果。
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