Vis*_*ide 1 javascript gps google-maps google-maps-api-3
如何使用 javascript 根据一组纬度和经度值计算面积?
我有一组从自己的数据库中提取的纬度和经度值。他们看起来像这样:
// Define the LatLng coordinates for the polygon's path.
var fizuliCoords = [
{lng:47.1648244,lat:39.6834661},
{lng:47.1653823,lat:39.6906634},
........there are 400-1200 lines...I only list 2
];
var bakuCoords = [
{lng:47.1648244,lat:39.6834661},
{lng:47.1653823,lat:39.6906634},
........there are 400-1200 lines...I only list 2
];
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有69个不同的行政区
我的项目是:
好的,
<!DOCTYPE html>
<html>
<head>
<meta name="viewport" content="initial-scale=1.0, user-scalable=no">
<meta charset="utf-8">
<title>ttttt</title>
<style>
html, body {
height: 100%;
margin: 0;
padding: 0;
}
/* #map is the div that places map on the html page*/
#map {
height: 100%;
}
/* end of #map */
</style>
</head>
<body>
<div id="map"></div>
<script>
// This example creates a simple polygon representing the shusha Region.
//the initMapfunction places the map on the page
function initMap() {
var map = new google.maps.Map(document.getElementById('map'), {
zoom: 8,
center: {lat: 40.352310, lng: 47.999462},
mapTypeId: google.maps.MapTypeId.TERRAIN
});
//end oof initMap function
//------------------------------------------------------------------
// Define the LatLng coordinates for the Shusha polygon's path.
var shushaCoords = [
{lng:46.5852069,lat:39.7918524},
{lng:46.5810012,lat:39.789016},
{lng:46.5800569,lat:39.7812995},
{lng:46.5741348,lat:39.7757586},
{lng:46.5720748,lat:39.7722619},
{lng:46.571817,lat:39.763026}
];
// Define the LatLng coordinates for the Khojavend polygon's path.
var khojavendCoords = [
{lng:46.6707802,lat:39.5735368},
{lng:46.6646003,lat:39.5704934},
{lng:46.6628837,lat:39.5675823}
];
// Define the LatLng coordinates for the Zangilan polygon's path.
var xocaliCoords = [
{lng:46.6195822,lat:39.233882},
{lng:46.6161489,lat:39.232918},
{lng:46.6094971,lat:39.2322199},
{lng:46.6076088,lat:39.2318542},
{lng:46.6009998,lat:39.229494}
];
**and so on for 69 more areas then come the polygons**
**// Construct the xocali polygon.**
var xocali = new google.maps.Polygon({
map: map,
paths: xocaliCoords,
strokeColor: '#000000',
strokeOpacity: 0.5,
strokeWeight: 2,
fillColor: '#00CCFF',
fillOpacity: 0.15
});
**//and then 68 more**
// Add a listener for the julfa mouseover/mouseout event.
google.maps.event.addListener(julfa ,'mouseover',function(){
this.setOptions({fillColor: "#00FF00"});
});
**//here I would like to add a popup where the AREA will be calculated**
google.maps.event.addListener(julfa ,'mouseout',function(){
this.setOptions({fillColor: "#00CCFF"});
});
//and then 68 more sets of listeners
}
</script>
<!--end of mapping script-->
<!--the script below is the googleAPI browser script, if i need to display on the server - must change to Server API code.-->
<script async defer src="https://maps.googleapis.com/maps/api/js? key=xxxxxxxxxxxxxxxxx&signed_in=true&callback=initMap"></script>
</body>
</html>
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所以我这里有 3 个问题: 1. 能够构建一个公式,根据每个多边形的 lat lng 值计算面积 2. 在弹出窗口中完成此操作 3. 可以使用外部 .js 文件
Google Maps Javascript API几何库包含以下方法computeArea:
计算区域(路径:数组|MVCArray,半径?:数字)
返回值: 数字
返回闭合路径的面积。计算面积使用与半径相同的单位。半径默认为地球半径(以米为单位),在这种情况下,面积以平方米为单位。
我的建议是创建一个子例程,将多边形添加到地图中,并使用鼠标悬停/鼠标悬停/单击侦听器完成:
function addPolygon(points, name, bounds, map) {
var path = [];
var polybounds = new google.maps.LatLngBounds();
for (var i = 0; i < points.length; i++) {
path.push(new google.maps.LatLng(points[i].lat, points[i].lng));
bounds.extend(path[path.length - 1]);
polybounds.extend(path[path.length - 1]);
var m = new google.maps.Marker({
position: path[path.length - 1],
// map: map,
title: name + i + " " + path[path.length - 1].toUrlValue(6),
icon: {
url: "https://maps.gstatic.com/intl/en_us/mapfiles/markers2/measle_blue.png",
size: new google.maps.Size(7, 7),
anchor: new google.maps.Point(3.5, 3.5)
}
});
}
var polygon = new google.maps.Polygon({
paths: path,
strokeColor: '#000000',
strokeOpacity: 0.5,
strokeWeight: 2,
fillColor: '#00CCFF',
fillOpacity: 0.15,
map: map,
bounds: polybounds
});
polygons.push(polygon);
google.maps.event.addListener(polygon, 'click', function (evt) {
infowindow.setContent(name + " area: " + google.maps.geometry.spherical.computeArea(polygon.getPath()).toFixed(2) + " square meters");
infowindow.setPosition(evt.latLng);
infowindow.open(map);
});
google.maps.event.addListener(polygon, 'mouseover', function () {
this.setOptions({
fillColor: "#00FF00"
});
});
google.maps.event.addListener(polygon, 'mouseout', function () {
this.setOptions({
fillColor: "#00CCFF"
});
});
}
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代码片段:
function addPolygon(points, name, bounds, map) {
var path = [];
var polybounds = new google.maps.LatLngBounds();
for (var i = 0; i < points.length; i++) {
path.push(new google.maps.LatLng(points[i].lat, points[i].lng));
bounds.extend(path[path.length - 1]);
polybounds.extend(path[path.length - 1]);
var m = new google.maps.Marker({
position: path[path.length - 1],
// map: map,
title: name + i + " " + path[path.length - 1].toUrlValue(6),
icon: {
url: "https://maps.gstatic.com/intl/en_us/mapfiles/markers2/measle_blue.png",
size: new google.maps.Size(7, 7),
anchor: new google.maps.Point(3.5, 3.5)
}
});
}
var polygon = new google.maps.Polygon({
paths: path,
strokeColor: '#000000',
strokeOpacity: 0.5,
strokeWeight: 2,
fillColor: '#00CCFF',
fillOpacity: 0.15,
map: map,
bounds: polybounds
});
polygons.push(polygon);
google.maps.event.addListener(polygon, 'click', function (evt) {
infowindow.setContent(name + " area: " + google.maps.geometry.spherical.computeArea(polygon.getPath()).toFixed(2) + " square meters");
infowindow.setPosition(evt.latLng);
infowindow.open(map);
});
google.maps.event.addListener(polygon, 'mouseover', function () {
this.setOptions({
fillColor: "#00FF00"
});
});
google.maps.event.addListener(polygon, 'mouseout', function () {
this.setOptions({
fillColor: "#00CCFF"
});
});
}
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var infowindow = new google.maps.InfoWindow();
var polygons = [];
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 bounds = new google.maps.LatLngBounds();
addPolygon(bakuCoords, "baku", bounds, map);
addPolygon(fizuliCoords, "fizuli", bounds, map);
map.fitBounds(polygons[0].bounds);
}
google.maps.event.addDomListener(window, "load", initialize);
function addPolygon(points, name, bounds, map) {
var path = [];
var polybounds = new google.maps.LatLngBounds();
for (var i = 0; i < points.length; i++) {
path.push(new google.maps.LatLng(points[i].lat, points[i].lng));
bounds.extend(path[path.length - 1]);
polybounds.extend(path[path.length - 1]);
}
var polygon = new google.maps.Polygon({
paths: path,
strokeColor: '#000000',
strokeOpacity: 0.5,
strokeWeight: 2,
fillColor: '#00CCFF',
fillOpacity: 0.15,
map: map,
bounds: polybounds
});
polygons.push(polygon);
google.maps.event.addListener(polygon, 'click', function(evt) {
infowindow.setContent(name + " area: " + google.maps.geometry.spherical.computeArea(polygon.getPath()).toFixed(2) + " square meters");
infowindow.setPosition(evt.latLng);
infowindow.open(map);
});
google.maps.event.addListener(polygon, 'mouseover', function() {
this.setOptions({
fillColor: "#00FF00"
});
});
google.maps.event.addListener(polygon, 'mouseout', function() {
this.setOptions({
fillColor: "#00CCFF"
});
});
}
// Define the LatLng coordinates for the polygon's path.
var fizuliCoords = [{
lng: 47.1648244,
lat: 39.6834661
}, {
lng: 47.1653823,
lat: 39.6906634
}, {
lng: 47.16,
lat: 39.68
}, {
lng: 47.163,
lat: 39.684
}];
var bakuCoords = [{
lng: 47.1648244,
lat: 39.6834661
}, {
lng: 47.1653823,
lat: 39.6906634
}, {
lng: 47.165,
lat: 39.692
}, {
lng: 47.166,
lat: 39.692
}];Run Code Online (Sandbox Code Playgroud)
html,
body,
#map_canvas {
height: 100%;
width: 100%;
margin: 0px;
padding: 0px
}Run Code Online (Sandbox Code Playgroud)
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