基于openlayers实现聚类统计展示

来源：互联网发布：runescape 知乎编辑：程序博客网时间：2024/05/21 07:56

概述：

在前面的博文中讲述过基于Arcgis for js如何实现聚类统计展示，在本文中讲述如何基于openlayers实现聚类统计的效果，Arcgis for js聚类统计的博文地址为：

http://blog.csdn.net/gisshixisheng/article/details/40867989

效果：

实现关键点：

实现代码：

1、数据格式

2、设置显示样式

            var style = new OpenLayers.Style({                fillColor: "#ffcc66",                strokeColor: "#ff9933",                strokeWidth: 2,                label: "${count}",                fontColor: "#333333",                fontFamily: "sans-serif",                fontWeight: "bold"            }, {                rules: [                    new OpenLayers.Rule({                        minScaleDenominator: 100000000,                        symbolizer: {                            pointRadius: 7,                            fontSize: "9px"                        }                    }),                    new OpenLayers.Rule({                        maxScaleDenominator: 100000000,                        minScaleDenominator: 50000000,                        symbolizer: {                            pointRadius: 10,                            fontSize: "11px"                        }                    }),                    new OpenLayers.Rule({                        maxScaleDenominator: 50000000,                        symbolizer: {                            pointRadius: 13,                            fontSize: "13px"                        }                    })                ]            });

3、添加矢量图层

            var features = new Array();            for (var i=0; i<data.length; i++) {                features[i] = new OpenLayers.Feature.Vector(                        new OpenLayers.Geometry.Point(data[i].x, data[i].y),                        {                            count:data[i].count,                            name:data[i].name                        }                );            }            var clusterLayer = new OpenLayers.Layer.Vector("Points", {                styleMap: new OpenLayers.StyleMap(style)            });            clusterLayer.addFeatures(features);            map1.addLayer(clusterLayer);

程序完整代码为；

<!DOCTYPE html><html><head lang="en">    <meta charset="UTF-8">    <title>openlayers map</title>    <link rel="stylesheet" href="http://localhost/olapi/theme/default/style.css" type="text/css">    <style>        html, body{            padding:0;            margin:0;            height:100%;            width:100%;            overflow: hidden;            font-size: 12px;        }        #map1{            width: 100%;            height: 100%;            float: left;            border-right: 1px solid #000000;        }    </style>    <script src="http://localhost/olapi/OpenLayers.js"></script>    <script src="http://localhost/olapi/lib/OpenLayers/Lang/zh-CN.js"></script>    <script src="http://localhost/jquery/jquery-1.8.3.js"></script>    <script>        var map1, vectors;        OpenLayers.Feature.Vector.style['default']['strokeWidth'] = '2';        $(function(){            var bounds = new OpenLayers.Bounds(                    73.45100463562233, 18.16324718764174,                    134.97679764650596, 53.531943152223576            );            var options = {                controls: [],                maxExtent: bounds,                maxResolution: 0.2403351289487642,                projection: "EPSG:4326",                units: 'degrees'            };            map1 = new OpenLayers.Map('map1', options);            map1.addLayer(getWms("china"));            map1.addControl(new OpenLayers.Control.Zoom());            map1.addControl(new OpenLayers.Control.Navigation());            map1.zoomToExtent(bounds);            addCluster();        });        function getWms(layer){            return new OpenLayers.Layer.WMS(                    "Geoserver layers - Tiled",                    "http://localhost:8081/geoserver/lzugis/wms",                    {                        "LAYERS": layer,                        "STYLES": '',                        format: 'image/png'                    },                    {                        buffer: 0,                        displayOutsideMaxExtent: true,                        isBaseLayer: true,                        yx : {'EPSG:4326' : true}                    }            );        }        function addCluster(){            var style = new OpenLayers.Style({                fillColor: "#ffcc66",                strokeColor: "#ff9933",                strokeWidth: 2,                label: "${count}",                fontColor: "#333333",                fontFamily: "sans-serif",                fontWeight: "bold"            }, {                rules: [                    new OpenLayers.Rule({                        minScaleDenominator: 100000000,                        symbolizer: {                            pointRadius: 7,                            fontSize: "9px"                        }                    }),                    new OpenLayers.Rule({                        maxScaleDenominator: 100000000,                        minScaleDenominator: 50000000,                        symbolizer: {                            pointRadius: 10,                            fontSize: "11px"                        }                    }),                    new OpenLayers.Rule({                        maxScaleDenominator: 50000000,                        symbolizer: {                            pointRadius: 13,                            fontSize: "13px"                        }                    })                ]            });            var data = [{name:"乌鲁木齐",x:87.5758285931,y:43.7822116460,count:10},                {name:"拉萨",x:91.1629975040,y:29.7104204643,count:30},                {name:"西宁",x:101.797302689,y:36.5936423859,count:50},                {name:"兰州",x:103.584297498,y:36.1190864503,count:70},                {name:"成都",x:104.035508297,y:30.7141790950,count:90},                {name:"重庆",x:106.519115206,y:29.4789248520,count:60},                {name:"贵阳",x:106.668071385,y:26.4573115457,count:20}];            var features = new Array();            for (var i=0; i<data.length; i++) {                features[i] = new OpenLayers.Feature.Vector(                        new OpenLayers.Geometry.Point(data[i].x, data[i].y),                        {                            count:data[i].count,                            name:data[i].name                        }                );            }            var clusterLayer = new OpenLayers.Layer.Vector("Points", {                styleMap: new OpenLayers.StyleMap(style)            });            clusterLayer.addFeatures(features);            map1.addLayer(clusterLayer);        }    </script></head><body>    <div id="map1"></div></body></html>

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