检测 GPS 坐标是否落在地图上的多边形内 [英] Detecting whether a GPS coordinate falls within a polygon on a map

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问题描述

如标题所述,目标是有一种方法来检测给定的 GPS 坐标是否落在多边形内.

As stated in the title, the goal is to have a way for detecting whether a given GPS coordinate falls inside a polygon or not.

多边形本身可以是凸的也可以是凹的.它被定义为一组边向量和该多边形内的一个已知点.每个边缘向量由四个坐标进一步定义,这些坐标是各个尖端的经纬度和相对于起点的方位.

The polygon itself can be either convex or concave. It's defined as a set of edge vectors and a known point within that polygon. Each edge vector is further defined by four coordinates which are the latitudes and longitudes of respective tip points and a bearing relative to the starting point.

在 StackOverflow 上有几个与此类似的问题,但它们仅以一般术语和 2D 平面描述解决方案,而我正在寻找支持由纬度/经度对定义的多边形的现有实现 WGS 84.

There are a couple of questions similar to this one here on StackOverflow but they describe the solution only in general terms and for a 2D plane, whereas I am looking for an existing implementation that supports polygons defined by latitude/longitude pairs in WGS 84.

有哪些 API 或服务可用于进行此类碰撞测试?

What API-s or services are out there for doing such collision tests?

推荐答案

这是一个 java 程序,它使用一个函数,如果在由 lat 列表定义的多边形内找到纬度/经度,该函数将返回 true/longs,佛罗里达州的示范.

我不确定它是否涉及纬度/经度 GPS 系统不是 x/y 坐标平面这一事实.对于我的使用,我已经证明它是有效的(我认为如果你在边界框中指定足够多的点,它会消除地球是球体的效果,地球上两点之间的直线不是箭头直线.

I'm not sure if it deals with the fact that the lat/long GPS system is not an x/y coordinate plane. For my uses I have demonstrated that it works (I think if you specify enough points in the bounding box, it washes away the effect that the earth is a sphere, and that straight lines between two points on the earth is not an arrow straight line.

首先指定构成多边形角点的点,它可以有凹角和凸角.我在下面使用的坐标描绘了佛罗里达州的周长.

First specify the points that make up the corner points of the polygon, it can have concave and convex corners. The coordinates I use below traces the perimeter of the state of Florida.

方法 coordinate_is_inside_polygon 使用了一种我不太了解的算法.这是我得到它的来源的官方解释:

method coordinate_is_inside_polygon utilizes an algorithm I don't quite understand. Here is an official explanation from the source where I got it:

"... Philippe Reverdy 提出的解决方案是计算测试点与构成多边形的每对点之间的角度之和.如果该和为 2pi,则该点为内部点,如果为 0那么这个点就是一个外部点.这也适用于有孔的多边形,因为多边形是用一条由进出孔的重合边组成的路径定义的,这在许多 CAD 软件包中很常见."

"... solution forwarded by Philippe Reverdy is to compute the sum of the angles made between the test point and each pair of points making up the polygon. If this sum is 2pi then the point is an interior point, if 0 then the point is an exterior point. This also works for polygons with holes given the polygon is defined with a path made up of coincident edges into and out of the hole as is common practice in many CAD packages. "

我的单元测试表明它确实可以可靠地工作,即使边界框是C"形或什至像 圆环.(我的单元测试测试了佛罗里达州内的许多点,并确保函数返回 true.我在世界其他任何地方选择了一些坐标并确保它返回 false.我选择了世界各地可能会混淆它的地方.

My unit tests show it does work reliably, even when the bounding box is a 'C' shape or even shaped like a Torus. (My unit tests test many points inside Florida and make sure the function returns true. And I pick a number of coordinates everywhere else in the world and make sure it returns false. I pick places all over the world which might confuse it.

如果多边形边界框穿过赤道、本初子午线或坐标从 -180 -> 180、-90 -> 90 变化的任何区域,我不确定这是否有效.或者您的多边形环绕地球围绕北极/南极.对我来说,我只需要它在佛罗里达周边工作.如果您必须定义一个跨越地球或跨越这些线的多边形,您可以通过制作两个多边形来解决它,一个代表子午线一侧的区域,一个代表另一侧的区域并测试您的点位于其中任何一点.

I'm not sure this will work if the polygon bounding box crosses the equator, prime meridian, or any area where the coordinates change from -180 -> 180, -90 -> 90. Or your polygon wraps around the earth around the north/south poles. For me, I only need it to work for the perimeter of Florida. If you have to define a polygon that spans the earth or crosses these lines, you could work around it by making two polygons, one representing the area on one side of the meridian and one representing the area on the other side and testing if your point is in either of those points.

我在这里找到了这个算法:确定一个点是否位于多边形的内部 - 解决方案2

Here is where I found this algorithm: Determining if a point lies on the interior of a polygon - Solution 2

自己运行以仔细检查.

将其放入名为 Runner.java 的文件中

import java.util.ArrayList;
public class Runner
{
    public static double PI = 3.14159265;
    public static double TWOPI = 2*PI;
    public static void main(String[] args) {
    ArrayList<Double> lat_array = new ArrayList<Double>();
    ArrayList<Double> long_array = new ArrayList<Double>();

    //This is the polygon bounding box, if you plot it, 
    //you'll notice it is a rough tracing of the parameter of 
    //the state of Florida starting at the upper left, moving 
    //clockwise, and finishing at the upper left corner of florida.

    ArrayList<String> polygon_lat_long_pairs = new ArrayList<String>();
    polygon_lat_long_pairs.add("31.000213,-87.584839");  
    //lat/long of upper left tip of florida.
    polygon_lat_long_pairs.add("31.009629,-85.003052");
    polygon_lat_long_pairs.add("30.726726,-84.838257");
    polygon_lat_long_pairs.add("30.584962,-82.168579");
    polygon_lat_long_pairs.add("30.73617,-81.476441");  
    //lat/long of upper right tip of florida.
    polygon_lat_long_pairs.add("29.002375,-80.795288");
    polygon_lat_long_pairs.add("26.896598,-79.938355");
    polygon_lat_long_pairs.add("25.813738,-80.059204");
    polygon_lat_long_pairs.add("24.93028,-80.454712");
    polygon_lat_long_pairs.add("24.401135,-81.817017");
    polygon_lat_long_pairs.add("24.700927,-81.959839");
    polygon_lat_long_pairs.add("24.950203,-81.124878");
    polygon_lat_long_pairs.add("26.0015,-82.014771");
    polygon_lat_long_pairs.add("27.833247,-83.014527");
    polygon_lat_long_pairs.add("28.8389,-82.871704");
    polygon_lat_long_pairs.add("29.987293,-84.091187");
    polygon_lat_long_pairs.add("29.539053,-85.134888");
    polygon_lat_long_pairs.add("30.272352,-86.47522");
    polygon_lat_long_pairs.add("30.281839,-87.628784");

    //Convert the strings to doubles.       
    for(String s : polygon_lat_long_pairs){
        lat_array.add(Double.parseDouble(s.split(",")[0]));
        long_array.add(Double.parseDouble(s.split(",")[1]));
    }

   //prints TRUE true because the lat/long passed in is
    //inside the bounding box.
    System.out.println(coordinate_is_inside_polygon(
            25.7814014D,-80.186969D,
            lat_array, long_array));

    //prints FALSE because the lat/long passed in 
    //is Not inside the bounding box.
    System.out.println(coordinate_is_inside_polygon(
            25.831538D,-1.069338D, 
            lat_array, long_array));

}
public static boolean coordinate_is_inside_polygon(
    double latitude, double longitude, 
    ArrayList<Double> lat_array, ArrayList<Double> long_array)
{       
       int i;
       double angle=0;
       double point1_lat;
       double point1_long;
       double point2_lat;
       double point2_long;
       int n = lat_array.size();

       for (i=0;i<n;i++) {
          point1_lat = lat_array.get(i) - latitude;
          point1_long = long_array.get(i) - longitude;
          point2_lat = lat_array.get((i+1)%n) - latitude; 
          //you should have paid more attention in high school geometry.
          point2_long = long_array.get((i+1)%n) - longitude;
          angle += Angle2D(point1_lat,point1_long,point2_lat,point2_long);
       }

       if (Math.abs(angle) < PI)
          return false;
       else
          return true;
}

public static double Angle2D(double y1, double x1, double y2, double x2)
{
   double dtheta,theta1,theta2;

   theta1 = Math.atan2(y1,x1);
   theta2 = Math.atan2(y2,x2);
   dtheta = theta2 - theta1;
   while (dtheta > PI)
      dtheta -= TWOPI;
   while (dtheta < -PI)
      dtheta += TWOPI;

   return(dtheta);
}

public static boolean is_valid_gps_coordinate(double latitude, 
    double longitude)
{
    //This is a bonus function, it's unused, to reject invalid lat/longs.
    if (latitude > -90 && latitude < 90 && 
            longitude > -180 && longitude < 180)
    {
        return true;
    }
    return false;
}
}

恶魔魔法需要进行单元测试.将其放入名为 MainTest.java 的文件中以验证它是否适合您

import java.util.ArrayList;
import org.junit.Test;
import static org.junit.Assert.*;

public class MainTest {
@Test
public void test_lat_long_in_bounds(){
    Runner r = new Runner();
    //These make sure the lat/long passed in is a valid gps 
    //lat/long coordinate.  These should be valid. 
    assertTrue(r.is_valid_gps_coordinate(25, -82));
    assertTrue(r.is_valid_gps_coordinate(-25, -82));
    assertTrue(r.is_valid_gps_coordinate(25, 82));
    assertTrue(r.is_valid_gps_coordinate(-25, 82));
    assertTrue(r.is_valid_gps_coordinate(0, 0));
    assertTrue(r.is_valid_gps_coordinate(89, 179));
    assertTrue(r.is_valid_gps_coordinate(-89, -179));
    assertTrue(r.is_valid_gps_coordinate(89.999, 179));
    //If your bounding box crosses the equator or prime meridian, 
    then you have to test for those situations still work.
}
@Test
public void realTest_for_points_inside()
{
    ArrayList<Double> lat_array = new ArrayList<Double>();
    ArrayList<Double> long_array = new ArrayList<Double>();
    ArrayList<String> polygon_lat_long_pairs = new ArrayList<String>();
    //upper left tip of florida.
    polygon_lat_long_pairs.add("31.000213,-87.584839");
    polygon_lat_long_pairs.add("31.009629,-85.003052");
    polygon_lat_long_pairs.add("30.726726,-84.838257");
    polygon_lat_long_pairs.add("30.584962,-82.168579");
    polygon_lat_long_pairs.add("30.73617,-81.476441");  
    //upper right tip of florida.
    polygon_lat_long_pairs.add("29.002375,-80.795288");
    polygon_lat_long_pairs.add("26.896598,-79.938355");
    polygon_lat_long_pairs.add("25.813738,-80.059204");
    polygon_lat_long_pairs.add("24.93028,-80.454712");
    polygon_lat_long_pairs.add("24.401135,-81.817017");
    polygon_lat_long_pairs.add("24.700927,-81.959839");
    polygon_lat_long_pairs.add("24.950203,-81.124878");
    polygon_lat_long_pairs.add("26.0015,-82.014771");
    polygon_lat_long_pairs.add("27.833247,-83.014527");
    polygon_lat_long_pairs.add("28.8389,-82.871704");
    polygon_lat_long_pairs.add("29.987293,-84.091187");
    polygon_lat_long_pairs.add("29.539053,-85.134888");
    polygon_lat_long_pairs.add("30.272352,-86.47522");
    polygon_lat_long_pairs.add("30.281839,-87.628784");

    for(String s : polygon_lat_long_pairs){
        lat_array.add(Double.parseDouble(s.split(",")[0]));
        long_array.add(Double.parseDouble(s.split(",")[1]));
    }

    Runner r = new Runner();
    ArrayList<String> pointsInside = new ArrayList<String>();
    pointsInside.add("30.82112,-87.255249");
    pointsInside.add("30.499804,-86.8927");
    pointsInside.add("29.96826,-85.036011");
    pointsInside.add("30.490338,-83.981323");
    pointsInside.add("29.825395,-83.344116");
    pointsInside.add("30.215406,-81.828003");
    pointsInside.add("29.299813,-82.728882");
    pointsInside.add("28.540135,-81.212769");
    pointsInside.add("27.92065,-82.619019");
    pointsInside.add("28.143691,-81.740113");
    pointsInside.add("27.473186,-80.718384");
    pointsInside.add("26.769154,-81.729126");
    pointsInside.add("25.853292,-80.223999");
    pointsInside.add("25.278477,-80.707398");
    pointsInside.add("24.571105,-81.762085");   //bottom tip of keywest
    pointsInside.add("24.900388,-80.663452");
    pointsInside.add("24.680963,-81.366577");

    for(String s : pointsInside)
    {
        assertTrue(r.coordinate_is_inside_polygon(
            Double.parseDouble(s.split(",")[0]), 
            Double.parseDouble(s.split(",")[1]), 
            lat_array, long_array));
    }
}

@Test
public void realTest_for_points_outside()
{
    ArrayList<Double> lat_array = new ArrayList<Double>();
    ArrayList<Double> long_array = new ArrayList<Double>();

    ArrayList<String> polygon_lat_long_pairs = new ArrayList<String>();
    //upper left tip, florida.
    polygon_lat_long_pairs.add("31.000213,-87.584839");
    polygon_lat_long_pairs.add("31.009629,-85.003052");
    polygon_lat_long_pairs.add("30.726726,-84.838257");
    polygon_lat_long_pairs.add("30.584962,-82.168579");
    polygon_lat_long_pairs.add("30.73617,-81.476441");
    //upper right tip, florida.
    polygon_lat_long_pairs.add("29.002375,-80.795288");
    polygon_lat_long_pairs.add("26.896598,-79.938355");
    polygon_lat_long_pairs.add("25.813738,-80.059204");
    polygon_lat_long_pairs.add("24.93028,-80.454712");
    polygon_lat_long_pairs.add("24.401135,-81.817017");
    polygon_lat_long_pairs.add("24.700927,-81.959839");
    polygon_lat_long_pairs.add("24.950203,-81.124878");
    polygon_lat_long_pairs.add("26.0015,-82.014771");
    polygon_lat_long_pairs.add("27.833247,-83.014527");
    polygon_lat_long_pairs.add("28.8389,-82.871704");
    polygon_lat_long_pairs.add("29.987293,-84.091187");
    polygon_lat_long_pairs.add("29.539053,-85.134888");
    polygon_lat_long_pairs.add("30.272352,-86.47522");
    polygon_lat_long_pairs.add("30.281839,-87.628784");

    for(String s : polygon_lat_long_pairs)
    {
        lat_array.add(Double.parseDouble(s.split(",")[0]));
        long_array.add(Double.parseDouble(s.split(",")[1]));
    }

    Runner r = new Runner();

    ArrayList<String> pointsOutside = new ArrayList<String>();
    pointsOutside.add("31.451159,-87.958374");
    pointsOutside.add("31.319856,-84.607544");
    pointsOutside.add("30.868282,-84.717407");
    pointsOutside.add("31.338624,-81.685181");
    pointsOutside.add("29.452991,-80.498657");
    pointsOutside.add("26.935783,-79.487915");
    pointsOutside.add("25.159207,-79.916382");
    pointsOutside.add("24.311058,-81.17981");
    pointsOutside.add("25.149263,-81.838989");
    pointsOutside.add("27.726326,-83.695679");
    pointsOutside.add("29.787263,-87.024536");
    pointsOutside.add("29.205877,-62.102052");
    pointsOutside.add("14.025751,-80.690919");
    pointsOutside.add("29.029276,-90.805666");
    pointsOutside.add("-12.606032,-70.151369");
    pointsOutside.add("-56.520716,-172.822269");
    pointsOutside.add("-75.89666,9.082024");
    pointsOutside.add("-24.078567,142.675774");
    pointsOutside.add("84.940737,177.480462");
    pointsOutside.add("47.374545,9.082024");
    pointsOutside.add("25.831538,-1.069338");
    pointsOutside.add("0,0");

    for(String s : pointsOutside){
        assertFalse(r.coordinate_is_inside_polygon(
            Double.parseDouble(s.split(",")[0]),
            Double.parseDouble(s.split(",")[1]), lat_array, long_array));
    }
}
}
//The list of lat/long inside florida bounding box all return true.
//The list of lat/long outside florida bounding box all return false.

我使用 eclipse IDE 让它使用 java 1.6.0 运行 java.对我来说,所有的单元测试都通过了.您需要在类路径中包含 junit 4 jar 文件或将其导入 Eclipse.

I used eclipse IDE to get this to run java using java 1.6.0. For me all the unit tests pass. You need to include the junit 4 jar file in your classpath or import it into Eclipse.

这篇关于检测 GPS 坐标是否落在地图上的多边形内的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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