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我正在使用lat &長輸入座標,用戶在輸入中接收到的圖像是用leaflet.js可視化的。正如我這樣做,我在背景中計算熱圖(例如,選定座標周圍5公里範圍內的人口密度圖)。如何根據需要在傳單上覆蓋柵格圖像?
如何覆蓋熱圖到我的地圖?
以下是我到目前爲止:生成地圖的html文件以及由我的背景計算創建的.js文件,其中存儲了所選座標,某些多邊形或興趣點以及我希望存儲/到我爲該地區生成的柵格地圖。
<!DOCTYPE html>
<html>
<head>
<title>Testmap</title>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script src="http://d3js.org/topojson.v1.min.js"></script>
<style>
@import url(http://cdn.leafletjs.com/leaflet-0.6.1/leaflet.css);
#overlay{
fill:None;
stroke:#ff00ff;
stroke-width:4px;
}
</style>
</head>
<body>
<div id="map" style="width: 960px; height: 600px"></div>
<script src="http://cdn.leafletjs.com/leaflet-0.6.1/leaflet.js"
</script>
<script src="rois.js"></script>
<script>
var toolserver = L.tileLayer('http://{s}.www.toolserver.org/tiles/bw-mapnik/{z}/{x}/{y}.png');
var stamen = L.tileLayer('http://{s}.tile.stamen.com/toner/{z}/{x}/{y}.png', {attribution: 'myMap'}).addTo(map);
var baseLayers = {"stamen": stamen, "toolserver-mapnik":toolserver};
var geojson = L.geoJson(rois, {
onEachFeature: onEachFeature
}).addTo(map)
var overlays = {
"geoJson": geojson
};
function onEachFeature(feature, layer){
if (feature.properties) {
layer.bindPopup("<b>" + feature.properties.street + "</b> is " + feature.properties.length + "km long.");
}
}
var svgContainer= d3.select(map.getPanes().overlayPane).append("svg");
var group= svgContainer.append("g").attr("class", "leaflet-zoom-hide");
var path = d3.geo.path().projection(project);
function project(point) {
var latlng = new L.LatLng(point[1], point[0]);
var layerPoint = map.latLngToLayerPoint(latlng);
return [layerPoint.x, layerPoint.y];
}
</script>
</body>
</html>
文件rois.js是由我的程序在後臺生成,其中包含選定的座標和一些多邊形要在地圖上繪製。我想了解如何在這裏包含柵格信息。
var map = L.map('map').setView([52.500,13.385], 13);
var rois = [{
"type": "FeatureCollection",
"features": [{
"type": "Feature",
"id": 1,
"geometry": {
"type": "Polygon",
"coordinates": [[[13.370, 52.491], [13.400, 52.491], [13.400, 52.509],[13.370, 52.509],[13.370, 52.491]]]
}
},
{ "type": "Feature",
"id": 2,
"geometry": {
"type": "Polygon",
"coordinates": [[[13.415, 52.496], [13.425, 52.505], [13.435, 52.496], [13.415, 52.496]]]
}
}]
}];
感謝 FP