我有几点,我想检查它们是否包含在多边形中。多边形和点由纬度和经度表示。
以下是重现我的场景的代码和谷歌地图打印屏幕,它看起来像多边形,多边形内部/外部的点,如Shapely。
import pyproj
from shapely.geometry import Polygon, Point
from shapely.ops import transform
from functools import partial
import numpy as np
polygon_array = [(1.4666748046875, 49.088257784724675),
(1.4447021484375, 47.42808726171425),
(2.889404296875, 47.42808726171425),
(2.8729248046875, 49.08466020484928),
(-0.0054931640625, 47.97521412341619),
(0.010986328125, 46.18743678432541),
(1.4227294921875, 46.1912395780416),
(1.4337158203125, 48.02299832104887),
(-1.043701171875, 46.65320687122665),
(-1.043701171875, 44.6061127451739),
(0.0164794921875, 44.5982904898401),
(-0.0054931640625, 46.6795944656402)]
simple_polygon = Polygon(polygon_array)
projection = partial(
pyproj.transform,
pyproj.Proj(init='epsg:4326'),
pyproj.Proj('+proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs'))
polygon = transform(projection, simple_polygon)
for latitude in np.arange(44.5435052132, 49.131408414, 0.071388739257):
for longitude in np.arange(-0.999755859375, 2.99926757812, 0.071388739257):
point = transform(projection, Point(longitude, latitude))
if polygon.contains(point):
print "%s, %s" % (latitude, longitude)
以下是多边形在地图上的外观:
以下是多边形内部的点(此处表示为标记):
点“外”:
这里的问题是这些点明显远离多边形,内部或外部。我是这个投影计划的新手,所以我可能会遗漏一些东西。
提前谢谢
答案 0 :(得分:2)
你的多边形看起来不像你画的画(我能说的最好)。
代码段
function initialize() {
var map = new google.maps.Map(
document.getElementById("map_canvas"), {
center: new google.maps.LatLng(37.4419, -122.1419),
zoom: 13,
mapTypeId: google.maps.MapTypeId.ROADMAP
});
var polygon_array = [{
lng: 1.4666748046875,
lat: 49.088257784724675
}, {
lng: 1.4447021484375,
lat: 47.42808726171425
}, {
lng: 2.889404296875,
lat: 47.42808726171425
}, {
lng: 2.8729248046875,
lat: 49.08466020484928
}, {
lng: -0.0054931640625,
lat: 47.97521412341619
}, {
lng: 0.010986328125,
lat: 46.18743678432541
}, {
lng: 1.4227294921875,
lat: 46.1912395780416
}, {
lng: 1.4337158203125,
lat: 48.02299832104887
}, {
lng: -1.043701171875,
lat: 46.65320687122665
}, {
lng: -1.043701171875,
lat: 44.6061127451739
}, {
lng: 0.0164794921875,
lat: 44.5982904898401
}, {
lng: -0.0054931640625,
lat: 46.6795944656402
}];
for (var i = 0; i < polygon_array.length; i++) {
var marker = new google.maps.Marker({
map: map,
position: polygon_array[i],
title: "" + i
})
}
var polygon = new google.maps.Polygon({
map: map,
paths: [polygon_array],
fillOpacity: 0.5,
strokeWeight: 2,
strokeOpacity: 1,
strokeColor: "red",
fillColor: "red"
});
var bounds = new google.maps.LatLngBounds();
for (var i = 0; i < polygon.getPaths().getAt(0).getLength(); i++) {
bounds.extend(polygon.getPaths().getAt(0).getAt(i));
}
map.fitBounds(bounds);
}
google.maps.event.addDomListener(window, "load", initialize);
&#13;
html,
body,
#map_canvas {
height: 100%;
width: 100%;
margin: 0px;
padding: 0px
}
&#13;
<script src="https://maps.googleapis.com/maps/api/js"></script>
<div id="map_canvas"></div>
&#13;