line 1275, in to_crs geom = df.geometry.to_crs(crs=crs, epsg=epsg)
时间: 2024-03-07 18:53:59 浏览: 31
这是一个代码行,它使用了 geopandas 库中的 to_crs() 方法,用于将地理数据的坐标系转换为指定的坐标系。其中,df 是一个 geopandas.DataFrame 类型的对象,它具有 geometry 列,存储了地理数据的几何信息。crs 和 epsg 参数用于指定目标坐标系,可以是字符串、Proj 对象或 EPSG 编码。该方法会返回一个新的 geopandas.DataFrame 对象,其中的 geometry 列已经转换为目标坐标系。
相关问题
java 判断经纬度_java实现判断一个经纬度坐标是否在一个多边形内(经自己亲测)...
要判断一个经纬度坐标是否在一个多边形内,可以使用Java的GIS相关的库,如GeoTools等。下面是一个基于GeoTools的实现示例:
```java
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import org.geotools.geometry.jts.JTSFactoryFinder;
import org.geotools.referencing.CRS;
import org.locationtech.jts.geom.Coordinate;
import org.locationtech.jts.geom.Geometry;
import org.locationtech.jts.geom.GeometryFactory;
import org.locationtech.jts.geom.Point;
import org.locationtech.jts.geom.Polygon;
import org.opengis.referencing.FactoryException;
import org.opengis.referencing.crs.CoordinateReferenceSystem;
import org.opengis.referencing.operation.MathTransform;
import org.opengis.referencing.operation.TransformException;
public class PolygonUtil {
/**
* 判断点是否在多边形内
*
* @param lon 经度
* @param lat 纬度
* @param polygonCoords 多边形顶点坐标列表,顺序为顺时针或逆时针
* @param polygonSRID 多边形坐标系的SRID
* @return true表示点在多边形内,false表示不在
*/
public static boolean isPointInPolygon(double lon, double lat, List<double[]> polygonCoords, int polygonSRID) {
try {
// 创建多边形的JTS几何对象
GeometryFactory geometryFactory = JTSFactoryFinder.getGeometryFactory(null);
Coordinate[] coords = new Coordinate[polygonCoords.size()];
for (int i = 0; i < polygonCoords.size(); i++) {
double[] coord = polygonCoords.get(i);
coords[i] = new Coordinate(coord[0], coord[1]);
}
Polygon polygon = geometryFactory.createPolygon(coords);
// 创建点的JTS几何对象
Point point = geometryFactory.createPoint(new Coordinate(lon, lat));
// 获取多边形和点的坐标系
CoordinateReferenceSystem polygonCRS = CRS.decode("EPSG:" + polygonSRID);
CoordinateReferenceSystem pointCRS = CRS.decode("EPSG:4326"); // WGS84经纬度坐标系
MathTransform transform = CRS.findMathTransform(pointCRS, polygonCRS);
// 将点的坐标系转换为多边形的坐标系
Point transformedPoint = (Point) org.geotools.geometry.jts.JTS.transform(point, transform);
// 判断点是否在多边形内
return transformedPoint.within(polygon);
} catch (FactoryException | TransformException e) {
e.printStackTrace();
return false;
}
}
public static void main(String[] args) throws IOException {
List<double[]> polygonCoords = new ArrayList<>();
polygonCoords.add(new double[] { 116.35886, 39.89931 });
polygonCoords.add(new double[] { 116.36315, 39.89354 });
polygonCoords.add(new double[] { 116.37324, 39.89805 });
polygonCoords.add(new double[] { 116.36795, 39.90383 });
polygonCoords.add(new double[] { 116.35886, 39.89931 });
boolean inPolygon = PolygonUtil.isPointInPolygon(116.364, 39.896, polygonCoords, 4326);
System.out.println(inPolygon); // true
inPolygon = PolygonUtil.isPointInPolygon(116.373, 39.896, polygonCoords, 4326);
System.out.println(inPolygon); // false
}
}
```
注意事项:
- 多边形顶点坐标列表的顺序要按照顺时针或逆时针方向排列,否则会得到错误的结果。
- 多边形坐标系的SRID要与经纬度坐标系的SRID不同,否则可能会得到错误的结果。
- 由于GeoTools的性能较低,处理大量数据时可能会较慢。如果需要高性能的GIS库,可以考虑使用JTS或Spatial4j等。
java解析osm.pbf文件,实现地理编码代码
要实现地理编码,需要先解析OSM PBF文件并将其转换为可供查询的地图数据。以下是使用Java解析OSM PBF文件的代码示例:
```java
import java.io.FileInputStream;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.HashMap;
import crosby.binary.osmosis.OsmosisReader;
import crosby.binary.osmosis.OsmosisSerializer;
import crosby.binary.file.BlockOutputStream;
import org.openstreetmap.osmosis.core.container.v0_6.NodeContainer;
import org.openstreetmap.osmosis.core.container.v0_6.WayContainer;
import org.openstreetmap.osmosis.core.domain.v0_6.Node;
import org.openstreetmap.osmosis.core.domain.v0_6.Way;
import org.openstreetmap.osmosis.core.domain.v0_6.Tag;
import org.openstreetmap.osmosis.core.task.v0_6.Sink;
public class OsmParser {
private Map<Long, Node> nodes;
private List<Way> ways;
public void parse(String filename) throws IOException {
nodes = new HashMap<Long, Node>();
ways = new ArrayList<Way>();
OsmosisReader reader = new OsmosisReader(new FileInputStream(filename));
reader.setSink(new OsmosisSink());
reader.run();
}
private class OsmosisSink implements Sink {
public void process(NodeContainer nodeContainer) {
Node node = nodeContainer.getEntity();
nodes.put(node.getId(), node);
}
public void process(WayContainer wayContainer) {
Way way = wayContainer.getEntity();
ways.add(way);
}
public void complete() {}
public void release() {}
}
// Example usage
public static void main(String[] args) throws IOException {
OsmParser parser = new OsmParser();
parser.parse("map.osm.pbf");
}
}
```
上面的代码将OSM PBF文件解析为一组节点和道路。节点表示地图上的点,道路表示连接节点的路径。这个示例只是一个简单的解析器,可能需要根据实际情况进行修改。
一旦您有了地图数据,您可以使用GeoTools或其他GIS库来进行地理编码。一个简单的示例是使用GeoTools的Geocoder类:
```java
import org.geotools.data.DataStore;
import org.geotools.data.DataStoreFinder;
import org.geotools.data.simple.SimpleFeatureSource;
import org.geotools.feature.FeatureCollection;
import org.geotools.feature.FeatureIterator;
import org.geotools.geometry.jts.JTSFactoryFinder;
import org.geotools.referencing.CRS;
import org.geotools.referencing.GeodeticCalculator;
import org.opengis.feature.simple.SimpleFeature;
import org.opengis.feature.simple.SimpleFeatureType;
import org.opengis.referencing.FactoryException;
import org.opengis.referencing.crs.CoordinateReferenceSystem;
import org.opengis.referencing.operation.MathTransform;
import com.vividsolutions.jts.geom.Coordinate;
import com.vividsolutions.jts.geom.Geometry;
import com.vividsolutions.jts.geom.Point;
public class Geocoder {
private SimpleFeatureSource featureSource;
private MathTransform transform;
private GeodeticCalculator calculator;
public Geocoder(String shapefile) throws IOException, FactoryException {
// Load shapefile into data store
Map<String, Object> params = new HashMap<String, Object>();
params.put("url", new File(shapefile).toURI().toURL());
DataStore store = DataStoreFinder.getDataStore(params);
// Get feature source
String typeName = store.getTypeNames()[0];
featureSource = store.getFeatureSource(typeName);
// Get coordinate reference system
CoordinateReferenceSystem sourceCRS = featureSource.getSchema().getCoordinateReferenceSystem();
CoordinateReferenceSystem targetCRS = CRS.decode("EPSG:4326");
// Create transform and calculator
transform = CRS.findMathTransform(sourceCRS, targetCRS);
calculator = new GeodeticCalculator(sourceCRS);
}
public String geocode(double latitude, double longitude) throws IOException {
// Create point and transform to feature source CRS
GeometryFactory factory = JTSFactoryFinder.getGeometryFactory();
Coordinate coord = new Coordinate(longitude, latitude);
Point point = factory.createPoint(coord);
Geometry transformed = JTS.transform(point, transform);
// Create search filter
SimpleFeatureType schema = featureSource.getSchema();
FilterFactory2 ff = CommonFactoryFinder.getFilterFactory2();
Filter filter = ff.intersects(ff.property(schema.getGeometryDescriptor().getName()), ff.literal(transformed));
// Query feature source
FeatureCollection features = featureSource.getFeatures(filter);
FeatureIterator iterator = features.features();
try {
if (iterator.hasNext()) {
SimpleFeature feature = iterator.next();
return feature.getAttribute("NAME").toString();
} else {
return null;
}
} finally {
iterator.close();
}
}
// Example usage
public static void main(String[] args) throws Exception {
Geocoder geocoder = new Geocoder("map.shp");
String address = geocoder.geocode(37.7749, -122.4194);
System.out.println(address);
}
}
```
上面的代码使用GeoTools加载一个形状文件作为参考数据,并提供一个`geocode`方法来查找给定坐标的地址。该方法使用`GeodeticCalculator`计算两个点之间的距离,并使用`Filter`过滤器查询特定的地理位置。
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