【十】ArcGIS API for Javascript之专题图的制作(六)

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九、统计图表专题图

1、引言

统计图表是专题地图中常用的一类符号,用于表示制图要素属性。常用的统计图表类型有直方图、饼图、柱状图、堆叠图等。与之前提到的渲染器不同,在ArcGIS API for Javascript没有直接提供统计图表对应的渲染器,需要我们基于API进行扩展。

扩展思路:借鉴了刘光老师《WebGIS从基础到开发实践》一书提供思路以及编写的CustomModules类包,即: ArcGIS API for Javascript是基于Dojo框架编写,故我们可以使用DojoX Charting的Chart2D、Chart3D图表创建统计图。然后在每个要素中心自定义一个信息窗口,最后在信息窗口添加对应的统计图。

2、CustomModules类包说明

CustomModules类包包括:ChartInfoWindow.js (图表响应地图的放大、缩小、平移等操作)、CustomThme.js(基本的图表样式)、GeometryUtils.js(计算多边形中心的算法,确定信息窗口位置,避免与服务器交互,提高响应速度)。这里我们引用ChartInfoWindow.js和GeometryUtils.js两个类包。

如下图所示,为华东地区各个省份年均收入的直方图专题图,选取了1995、2000、2005年三年的年均收入信息做对比。
这里写图片描述

3、代码部分

话不多说,直接上完整代码(直方图专题图):

<!DOCTYPE html>  
<html>  
<head>  
    <meta charset="utf-8">  
    <title>直方图专题图</title>  
    <link rel="stylesheet" type="text/css" href="http://localhost/arcgis_js_api/library/3.17/3.17/dijit/themes/claro/claro.css" />
    <link rel="stylesheet" type="text/css" href="http://localhost/arcgis_js_api/library/3.17/3.17/esri/css/esri.css" />
    <link href="ChartInfoWindow.css" rel="stylesheet" />  
    <style>  
        html,body,#map{  
             padding: 0;  
             margin: 0;  
             height: 100%;  
             width: 100%;  
             border:0px solid #000;  
        }  
    </style> 
    <script type="text/javascript" src="http://localhost/arcgis_js_api/library/3.17/3.17/init.js"></script>  
    <script>  
        require([  
            "esri/map",  
            "esri/layers/FeatureLayer",   
            "esri/layers/ArcGISDynamicMapServiceLayer",   
            "esri/symbols/SimpleLineSymbol",   
            "esri/symbols/SimpleFillSymbol",  
            "esri/renderers/SimpleRenderer", 
            "esri/Color", 
            "dojo/_base/array",   
            "dojo/dom-construct",   
            "dojo/_base/window",    
            "dojox/charting/Chart2D",    
            "dojox/charting/plot2d/ClusteredColumns", 
            "CustomModules/ChartInfoWindow",  
            "CustomModules/geometryUtils",              
            "dojo/domReady!"  
        ], function (  
          Map, FeatureLayer, ArcGISDynamicMapServiceLayer, SimpleLineSymbol,   SimpleFillSymbol, SimpleRenderer, Color,   
          array, domConstruct, win, Chart2D,ClusteredColumns, ChartInfoWindow, geometryUtils
        ) {  
            var map = new Map("map", { 
                basemap:"topo",
                center: [118.2, 31.1],  
                zoom: 6
            }); 
            var baseLayer = new ArcGISDynamicMapServiceLayer("http://localhost:6080/arcgis/rest/services/test/huadong/MapServer");  
            map.addLayer(baseLayer);  
            //新建feature图层  
            var featureLayer = new FeatureLayer("http://localhost:6080/arcgis/rest/services/test/huadong/MapServer/0", {  
                mode: FeatureLayer.MODE_SNAPSHOT,//快照模式  
                outFields: ["*"]  
            }); 
            //为featureLayer设置渲染器  
            var defaultSymbol = new SimpleFillSymbol().setStyle(SimpleFillSymbol.STYLE_NULL).
            setOutline(new SimpleLineSymbol(esri.symbol.SimpleLineSymbol.STYLE_SOLID, new Color("#FF8C00"), 1.5)); 
            var renderer = new SimpleRenderer(defaultSymbol);  
            featureLayer.setRenderer(renderer);  
            //要素属性值组,多边形中心点point数组
            var featureAttrs = [];
            var PolygonCenter = [];
            //featureLayer图层加载完毕后触发 createChartInfoWindow函数  
            featureLayer.on("update-end", function (evt) {  
                var showFields = ["Y1995","Y2000","Y2005"];
                //遍历要素获取属性值
                array.forEach(featureLayer.graphics, function (graphic) {
                    var attr = [];
                    for (var i = 0, j = showFields.length; i < j; i++) {
                        attr.push(graphic.attributes[showFields[i]]);
                    }
                    PolygonCenter.push(geometryUtils.getPolygonCenterPoint(graphic.geometry));
                    featureAttrs.push(attr);
                });             
                createChartInfoWindow(showFields);  
            }); 
            map.addLayer(featureLayer);  

            //创建放置直方图的信息窗口  
            function createChartInfoWindow(showFields) {  
                var max = 10000;  
                var optinalChart = null;  
                for(var i=0;i<featureAttrs.length;i++){  
                    var infoWindow = new ChartInfoWindow({  
                         domNode: domConstruct.create('div', null, document.getElementById('map'))  
                    });  
                    infoWindow.setMap(map);  
                    //定义图表节点      
                    var nodeChart = null;  
                    nodeChart = domConstruct.create("div", { id: 'nodeColumnChart' + i, style: "width:120px;height:80px;background-color:transparent" }, win.body());  
                    var chart = makeChart(nodeChart,showFields,max,i);   //绘制直方图
                    infoWindow.resize(122, 82);  
                    //读取几何的中心位置,放置图表信息框
                    var Cpoint = PolygonCenter[i];  
                    infoWindow.setContent(nodeChart);  
                    infoWindow.__mcoords = Cpoint;  
                    infoWindow.show(map.toScreen(Cpoint));  
                }  
            }  

             //在信息窗口框绘制直方图  
            function makeChart(nodeChart,showFields, max, index) {  
                //初始化一个chart2D变量   
                var  chart = new Chart2D(nodeChart,{margins: { l: 6, r: 0, t: 2, b: 0 }});
                chart.addPlot("default", {type: "Columns",gap:0});  
                chart.addAxis("x", { fixLower: "major", fixUpper: "major",
                    labels: [{ value: 0, text: " " },{ value: 1, text: " " },{ value: 2, text: " " },{ value: 3, text: " " }, { value: 4, text: " " }], 
                    fontColor: "black", 
                    majorTick: { color: "black", length: 0}, 
                    minorTick: { stroke: "black", length: 0}   
                }); 
                chart.addAxis("y", { vertical: true, fixLower: "major", fixUpper: "major",
                    min: 0,to: max,   //刻度最小最大允许值  
                    fontColor: "black", 
                    font: "normal normal bold 6pt Tahoma",                  
                    majorTick: { color: "black", length: 0}, //刻度线设置
                    minorTick: { stroke: "black", length: 0} 
                }); 
                //定义矩形颜色  
                var ColorArr=[new Color([48,169,208,1]),new Color([255,180,0,1]),new Color([62,193,121,1])];
                //循环featureAttrs添加直方图属性数据  
                var length = showFields.length; 
                for (var i = 0; i < length; i++) {
                    serieValues = [];
                    for (var m = 0; m < i; m++) {
                        serieValues.push(0);
                    }
                    serieValues.push(featureAttrs[index][i]);
                    console.log(serieValues);
                    chart.addSeries(showFields[i], serieValues, { stroke: { color: "#666", width:0},fill: ColorArr[i]});
                } 
                chart.render();  
                return chart;  
            }  
        });  
    </script>  
</head>  
<body class="claro">  
    <div id="map" ></div>  
</body>  
</html> 

其他几种专题图的实现与直方图类似,不同的是绘制统计图表的函数不同。下面分别贴上各种图表的绘制函数:

饼图 (需添加引用 dojox/charting/plot2d/Pie 类)
这里写图片描述

function makeChart(nodeChart,showFields, index) {  
      //初始化Pie图表变量   
      var chart =  new Chart2D(nodeChart,{margins: { l: 0, r: 0, t: 0, b: 0 }});
      chart.addPlot("default", {type: "Pie",font: "normal normal 6pt Tahoma",fontColor: "#fff",labelOffset: 0,radius: 25}); 
        //添加attributes属性  
        chart.addSeries("all",[  
               { y:featureAttrs[index][0], text: "", stroke: "#555",fill:new Color([255,180,0,1]) },  
               { y:featureAttrs[index][1], text: "", stroke: "#555",fill:new Color([48,169,208,1]) },  
               { y:featureAttrs[index][2], text: "", stroke: "#555",fill:new Color([62,193,121,1]) }  
        ]);  
        chart.render();  
        return chart;  
 }  

堆叠图 (需添加引用 dojox/charting/plot2d/StackedColumns 类)
这里写图片描述

function makeChart(nodeChart,showFields, max, index) {  
     //初始化StackedColumnsChart   
     var  chart = new Chart2D(nodeChart,{margins: { l: 0, r: 0, t: 2, b: 0 }});
     chart.addPlot("default", {type: "StackedColumns",gap:0}); 
     chart.addAxis("y", { vertical: true, fixLower: "major", fixUpper: "major",
            min: 0,to: max,   //刻度最大允许值  
            fontColor: "black", 
            font: "normal normal 0pt Tahoma"
     });
     //定义矩形颜色  
     var ColorArr=[new Color([255,50,0,1]),new Color([255,150,0,1]),new Color([255,255,0,1]),new Color([0,240,50,1]),new Color([0,205,150,1]),new Color([0,150,255,1])];
     var length = showFields.length; 
     for (var i = 0; i < length; i++) {
            serieValues = [];
            serieValues.push(featureAttrs[index][i]);
            chart.addSeries(showFields[i], serieValues, { stroke: { color: "#fff", width:0},fill: ColorArr[i]});
      }
      chart.render();  
      return chart;  
} 

柱状图 (需添加引用 dojox/charting/Chart3D、dojox/charting/plot3d/Bars、dojox/gfx3d/matrix 类)
这里写图片描述

function makeChart(nodeChart,showFields, max, index) {  
      //初始化 一个chart变量   
      var chart3d = new Chart3D('chart3d'+index,{
            lights:   [{direction: {x: 5, y: 5, z: -5}, color: "white"}],
            ambient:  {color:"white", intensity: 2},
            specular: "white"
            },
            [Matrix.cameraRotateXg(15), Matrix.cameraRotateYg(-10), Matrix.scale(0.5), Matrix.cameraTranslate(-50, 50, 0)]
       );
       //定义矩形颜色  
       var ColorArr=[new Color([0,169,208,1]),new Color([255,160,0,1]),new Color([220,55,121,1])];
       //featureAttrs 设置为直方图的"柱"  
       var length = showFields.length; 

       var plot1 = new dojox.charting.plot3d.Bars(120, 120, 
            {gap: 6, material: ColorArr[0]}); 
       plot1.setData([featureAttrs[index][0],0,0]); 
       chart3d.addPlot(plot1); 

       var plot2 = new dojox.charting.plot3d.Bars(120, 120, 
            {gap: 6, material: ColorArr[1]}); 
       plot2.setData([0,featureAttrs[index][1],0]); 
       chart3d.addPlot(plot2); 

       var plot3 = new dojox.charting.plot3d.Bars(120, 120, 
            {gap: 6, material: ColorArr[2]}); 
       plot3.setData([0,0,featureAttrs[index][2]]); 
       chart3d.addPlot(plot3); 

       chart3d.generate().render();  
       return chart3d;  
 } 

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