88bifa必发 3

leaflet+esri88bifa必发-leaflet+heatmap实现热力图

1.环境准备

 1)下载leaflet.js插件,  官网传送:http://leafletjs.com/

 2)下载esri-leaflet.js插件,  官网传送:http://esri.github.io/esri-leaflet/

 3)下载heatmap.js插件,  官网传送:https://www.patrick-wied.at/static/heatmapjs/

也可以直接在此下载,所有插件已压缩打包  
https://files.cnblogs.com/files/mengjiaxing/lib.zip

2.demo样例

1)在html文件中引入所有需要用到的插件

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>heatmap</title>
    <link rel="stylesheet" href="lib/leaflet/leaflet.css">
    <script src="lib/leaflet/leaflet.js"></script>
    <script src="lib/proj4-compressed.js"></script>
    <script src="lib/proj4leaflet.js"></script>
    <script src="lib/heatmap/heatmap.js"></script>
    <script src="lib/heatmap/leaflet-heatmap.js"></script>
    <script src="lib/leaflet/esri-leaflet.js"></script>
</head>
<body>

    <div id="map" style="height: 900px;width: 900px;"></div>

</body> </html>

2)加载arcgis切片服务

第一步:打开需要加载的服务,记下红线中的数据

88bifa必发 1

第二步:将不同等级的Resolution拷下来放进数组里面

var res=[
        0.703125, // Level 0
        0.3515625, // Level 1
        0.17578125, // Level 2
        0.087890625, // Level 3
        0.0439453125, // Level 4
        0.02197265625,
        0.010986328125,
        0.0054931640625,
        0.00274658203125,
        0.001373291015625,
        6.866455078125E-4,
        3.4332275390625E-4,
        1.71661376953125E-4,
        8.58306884765625E-5,
        4.291534423828125E-5,
        2.1457672119140625E-5,
        1.0728836059570312E-5,
        5.364418029785156E-6,
        2.682209014892578E-6,
        1.341104507446289E-6
    ];

第三步:进入http://spatialreference.org/ref/sr-org/
搜索你的空间参考系,找到相应的参考系,点击去,点击Proj4得到字符串

第四步:生成坐标参考系

 var crs = new L.Proj.CRS('你的参考系',
        '第三步得到的字符串',
        {
            resolutions: 第二步得到的res,
            origin:第一步记下的origin值,
        });

例如:
 var crs = new L.Proj.CRS('SR-ORG:7408',
        '+proj=longlat +ellps=GRS80 +no_defs',
        {
            resolutions: res,
            origin: [-180,90],
        });

第五步:生成地图

 baselayer = L.esri.tiledMapLayer(
        {url: "http://192.168.1.156:6080/arcgis/rest/services/vec2/MapServer/"});
    var res=[
        0.703125, // Level 0
        0.3515625, // Level 1
        0.17578125, // Level 2
        0.087890625, // Level 3
        0.0439453125, // Level 4
        0.02197265625,
        0.010986328125,
        0.0054931640625,
        0.00274658203125,
        0.001373291015625,
        6.866455078125E-4,
        3.4332275390625E-4,
        1.71661376953125E-4,
        8.58306884765625E-5,
        4.291534423828125E-5,
        2.1457672119140625E-5,
        1.0728836059570312E-5,
        5.364418029785156E-6,
        2.682209014892578E-6,
        1.341104507446289E-6
    ];
    var crs = new L.Proj.CRS('SR-ORG:7408',
        '+proj=longlat +ellps=GRS80 +no_defs',
        {
            resolutions: res,
            origin: [-180,90],
        });
    L.map('map', {
        center: new L.LatLng(26.565052,106.691417),
        zoom: 10,
        crs: crs,
        layers: [baselayer]
    });

 第六步:生成地图渲染数据

var data={"max":108,"data":[{"x":104.54040688300006,"y":24.79143100700003,"value":83},{"x":104.81660000100004,"y":24.804038889000026,"value":98},.....]    //数据过多只粘贴一部分

第七步:生成渲染函数

function rendererHeatMap(data){
        var cfg = {
            "radius": 0.04,
            "maxOpacity": .8,
            "scaleRadius": true,
            "useLocalExtrema": true,
            latField: 'y',
            lngField: 'x',
            valueField: 'value'
        };
        heatmapLayer = new HeatmapOverlay(cfg);
        map.addLayer(heatmapLayer);

        heatmapLayer.setData(data);
    }

第八步:调用渲染生成热力图

rendererHeatMap(data);

第九步:结果截图

88bifa必发 2

项目结构:

88bifa必发 3

完整代码:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>heatmap</title>
    <link rel="stylesheet" href="lib/leaflet/leaflet.css">
    <script src="lib/leaflet/leaflet.js"></script>
    <script src="lib/proj4-compressed.js"></script>
    <script src="lib/proj4leaflet.js"></script>
    <script src="lib/heatmap/heatmap.js"></script>
    <script src="lib/heatmap/leaflet-heatmap.js"></script>
    <script src="lib/leaflet/esri-leaflet.js"></script>
</head>
<body>
<div id="map" style="height: 900px;width: 900px;"></div>
<script>
    baselayer = L.esri.tiledMapLayer(
        {url: "http://localhost:6080/arcgis/rest/services/vec2/MapServer/"});
    var res=[
        0.703125, // Level 0
        0.3515625, // Level 1
        0.17578125, // Level 2
        0.087890625, // Level 3
        0.0439453125, // Level 4
        0.02197265625,
        0.010986328125,
        0.0054931640625,
        0.00274658203125,
        0.001373291015625,
        6.866455078125E-4,
        3.4332275390625E-4,
        1.71661376953125E-4,
        8.58306884765625E-5,
        4.291534423828125E-5,
        2.1457672119140625E-5,
        1.0728836059570312E-5,
        5.364418029785156E-6,
        2.682209014892578E-6,
        1.341104507446289E-6
    ];
    var crs = new L.Proj.CRS('SR-ORG:7408',
        '+proj=longlat +ellps=GRS80 +no_defs',
        {
            resolutions: res,
            origin: [-180,90],
        });
    map=L.map('map', {
        center: new L.LatLng(26.565052,106.691417),
        zoom: 7,
        crs: crs,
        layers: [baselayer]
    });

    var data={"max":108,"data":[{"x":104.54040688300006,"y":24.79143100700003,"value":83},.....];  //数据过多只粘贴一部分
    function rendererHeatMap(data){
        var cfg = {
            "radius": 0.2,
            "maxOpacity": .8,
            "scaleRadius": true,
            "useLocalExtrema": true,
            latField: 'y',
            lngField: 'x',
            valueField: 'value'
        };
        heatmapLayer = new HeatmapOverlay(cfg);
        map.addLayer(heatmapLayer);

        heatmapLayer.setData(data);
    }

    rendererHeatMap(data);

</script>
</body>

</html>