• echarts3结合openlayers2实现Map类型图表


    网上查阅了部分资料,有些是用echarts2实现的,因echarts2无法满足项目中其他部分的要求,故只能采用echarts3(2017/9/18,echarts3官网突然把基于geo的demo下架了,只剩下基于百度地图的示例,汗-_-||)。

    参考:Echart2在Openlayers2的应用-航班的炫光特效

    Echart2在Openlayers2的应用

    openlayers3与echarts3的结合使用(普通图表-pie、bar……)

    Leaflet 地图Leaflet 地图和 ECharts 的结合,参考前端代码

    扩展OpenLayers.Layer图层,用于装载Map类型图表,侦听地图刷新事件,同步进行echarts的Option中坐标变换,转变为屏幕坐标;

      1 <!DOCTYPE html>
      2 <head>
      3     <meta charset="utf-8">
      4     <title>ECharts</title>    
      5     <script type="text/javascript" src="resources/js/jquery-3.1.0.min.js"></script>
      6     <script type="text/javascript" src="resources/js/ol2-release-2.13.1/OpenLayers.js"></script>
      7     <link rel="stylesheet" type="text/css" href="resources/js/ol2-release-2.13.1/theme/default/style.css">
      8     <!-- ECharts单文件引入 -->
      9     <script type="text/javascript" src="resources/js/echarts.js"></script>    
     10     <script type="text/javascript" src="resources/js/EchartMapLayer.js"></script>
     11     
     12     <style>
     13     #map{
     14         width:1000px;
     15         height: 700px;
     16         position: absolute;
     17     }
     18     </style>
     19 </head>
     20 <body>
     21 <div id="map" class="smallmap"></div>
     22     <script type="text/javascript">
     23         var map = new OpenLayers.Map('map', {
     24             controls: [
     25                 new OpenLayers.Control.Navigation(),
     26                 new OpenLayers.Control.PanZoomBar(),
     27                 new OpenLayers.Control.LayerSwitcher({'ascending':false}),
     28                 new OpenLayers.Control.ScaleLine(),
     29                 new OpenLayers.Control.MousePosition(),
     30                 new OpenLayers.Control.OverviewMap(),
     31 //                      new OpenLayers.Control.KeyboardDefaults()
     32             ],
     33             numZoomLevels: 17
     34         });
     35 
     36         var osmlayer = new OpenLayers.Layer.OSM("OSM");
     37         map.addLayers([osmlayer]);
     38 
     39         map.setCenter(new OpenLayers.LonLat(11400246.56,4439064.42), 4);
     40         
     41         //create echarts's map
     42         
     43     var geoCoordMap = {
     44         '上海': [121.4648, 31.2891],
     45         '东莞': [113.8953, 22.901],
     46         '东营': [118.7073, 37.5513],
     47         '中山': [113.4229, 22.478],
     48         '临汾': [111.4783, 36.1615],
     49         '临沂': [118.3118, 35.2936],
     50         '丹东': [124.541, 40.4242],
     51         '丽水': [119.5642, 28.1854],
     52         '乌鲁木齐': [87.9236, 43.5883],
     53         '佛山': [112.8955, 23.1097],
     54         '保定': [115.0488, 39.0948],
     55         '兰州': [103.5901, 36.3043],
     56         '包头': [110.3467, 41.4899],
     57         '北京': [116.4551, 40.2539],
     58         '北海': [109.314, 21.6211],
     59         '南京': [118.8062, 31.9208],
     60         '南宁': [108.479, 23.1152],
     61         '南昌': [116.0046, 28.6633],
     62         '南通': [121.1023, 32.1625],
     63         '厦门': [118.1689, 24.6478],
     64         '台州': [121.1353, 28.6688],
     65         '合肥': [117.29, 32.0581],
     66         '呼和浩特': [111.4124, 40.4901],
     67         '咸阳': [108.4131, 34.8706],
     68         '哈尔滨': [127.9688, 45.368],
     69         '唐山': [118.4766, 39.6826],
     70         '嘉兴': [120.9155, 30.6354],
     71         '大同': [113.7854, 39.8035],
     72         '大连': [122.2229, 39.4409],
     73         '天津': [117.4219, 39.4189],
     74         '太原': [112.3352, 37.9413],
     75         '威海': [121.9482, 37.1393],
     76         '宁波': [121.5967, 29.6466],
     77         '宝鸡': [107.1826, 34.3433],
     78         '宿迁': [118.5535, 33.7775],
     79         '常州': [119.4543, 31.5582],
     80         '广州': [113.5107, 23.2196],
     81         '廊坊': [116.521, 39.0509],
     82         '延安': [109.1052, 36.4252],
     83         '张家口': [115.1477, 40.8527],
     84         '徐州': [117.5208, 34.3268],
     85         '德州': [116.6858, 37.2107],
     86         '惠州': [114.6204, 23.1647],
     87         '成都': [103.9526, 30.7617],
     88         '扬州': [119.4653, 32.8162],
     89         '承德': [117.5757, 41.4075],
     90         '拉萨': [91.1865, 30.1465],
     91         '无锡': [120.3442, 31.5527],
     92         '日照': [119.2786, 35.5023],
     93         '昆明': [102.9199, 25.4663],
     94         '杭州': [119.5313, 29.8773],
     95         '枣庄': [117.323, 34.8926],
     96         '柳州': [109.3799, 24.9774],
     97         '株洲': [113.5327, 27.0319],
     98         '武汉': [114.3896, 30.6628],
     99         '汕头': [117.1692, 23.3405],
    100         '江门': [112.6318, 22.1484],
    101         '沈阳': [123.1238, 42.1216],
    102         '沧州': [116.8286, 38.2104],
    103         '河源': [114.917, 23.9722],
    104         '泉州': [118.3228, 25.1147],
    105         '泰安': [117.0264, 36.0516],
    106         '泰州': [120.0586, 32.5525],
    107         '济南': [117.1582, 36.8701],
    108         '济宁': [116.8286, 35.3375],
    109         '海口': [110.3893, 19.8516],
    110         '淄博': [118.0371, 36.6064],
    111         '淮安': [118.927, 33.4039],
    112         '深圳': [114.5435, 22.5439],
    113         '清远': [112.9175, 24.3292],
    114         '温州': [120.498, 27.8119],
    115         '渭南': [109.7864, 35.0299],
    116         '湖州': [119.8608, 30.7782],
    117         '湘潭': [112.5439, 27.7075],
    118         '滨州': [117.8174, 37.4963],
    119         '潍坊': [119.0918, 36.524],
    120         '烟台': [120.7397, 37.5128],
    121         '玉溪': [101.9312, 23.8898],
    122         '珠海': [113.7305, 22.1155],
    123         '盐城': [120.2234, 33.5577],
    124         '盘锦': [121.9482, 41.0449],
    125         '石家庄': [114.4995, 38.1006],
    126         '福州': [119.4543, 25.9222],
    127         '秦皇岛': [119.2126, 40.0232],
    128         '绍兴': [120.564, 29.7565],
    129         '聊城': [115.9167, 36.4032],
    130         '肇庆': [112.1265, 23.5822],
    131         '舟山': [122.2559, 30.2234],
    132         '苏州': [120.6519, 31.3989],
    133         '莱芜': [117.6526, 36.2714],
    134         '菏泽': [115.6201, 35.2057],
    135         '营口': [122.4316, 40.4297],
    136         '葫芦岛': [120.1575, 40.578],
    137         '衡水': [115.8838, 37.7161],
    138         '衢州': [118.6853, 28.8666],
    139         '西宁': [101.4038, 36.8207],
    140         '西安': [109.1162, 34.2004],
    141         '贵阳': [106.6992, 26.7682],
    142         '连云港': [119.1248, 34.552],
    143         '邢台': [114.8071, 37.2821],
    144         '邯郸': [114.4775, 36.535],
    145         '郑州': [113.4668, 34.6234],
    146         '鄂尔多斯': [108.9734, 39.2487],
    147         '重庆': [107.7539, 30.1904],
    148         '金华': [120.0037, 29.1028],
    149         '铜川': [109.0393, 35.1947],
    150         '银川': [106.3586, 38.1775],
    151         '镇江': [119.4763, 31.9702],
    152         '长春': [125.8154, 44.2584],
    153         '长沙': [113.0823, 28.2568],
    154         '长治': [112.8625, 36.4746],
    155         '阳泉': [113.4778, 38.0951],
    156         '青岛': [120.4651, 36.3373],
    157         '韶关': [113.7964, 24.7028]
    158     };
    159 
    160     var BJData = [
    161         [{name: '北京'}, {name: '上海', value: 95}],
    162         [{name: '北京'}, {name: '广州', value: 90}],
    163         [{name: '北京'}, {name: '大连', value: 80}],
    164         [{name: '北京'}, {name: '南宁', value: 70}],
    165         [{name: '北京'}, {name: '南昌', value: 60}],
    166         [{name: '北京'}, {name: '拉萨', value: 50}],
    167         [{name: '北京'}, {name: '长春', value: 40}],
    168         [{name: '北京'}, {name: '包头', value: 30}],
    169         [{name: '北京'}, {name: '重庆', value: 20}],
    170         [{name: '北京'}, {name: '常州', value: 10}]
    171     ];
    172 
    173     var SHData = [
    174         [{name: '上海'}, {name: '包头', value: 95}],
    175         [{name: '上海'}, {name: '昆明', value: 90}],
    176         [{name: '上海'}, {name: '广州', value: 80}],
    177         [{name: '上海'}, {name: '郑州', value: 70}],
    178         [{name: '上海'}, {name: '长春', value: 60}],
    179         [{name: '上海'}, {name: '重庆', value: 50}],
    180         [{name: '上海'}, {name: '长沙', value: 40}],
    181         [{name: '上海'}, {name: '北京', value: 30}],
    182         [{name: '上海'}, {name: '丹东', value: 20}],
    183         [{name: '上海'}, {name: '大连', value: 10}]
    184     ];
    185 
    186     var GZData = [
    187         [{name: '广州'}, {name: '福州', value: 95}],
    188         [{name: '广州'}, {name: '太原', value: 90}],
    189         [{name: '广州'}, {name: '长春', value: 80}],
    190         [{name: '广州'}, {name: '重庆', value: 70}],
    191         [{name: '广州'}, {name: '西安', value: 60}],
    192         [{name: '广州'}, {name: '成都', value: 50}],
    193         [{name: '广州'}, {name: '常州', value: 40}],
    194         [{name: '广州'}, {name: '北京', value: 30}],
    195         [{name: '广州'}, {name: '北海', value: 20}],
    196         [{name: '广州'}, {name: '海口', value: 10}]
    197     ];
    198 
    199     var planePath = 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z';
    200 
    201     var convertData = function (data) {
    202         var res = [];
    203         for (var i = 0; i < data.length; i++) {
    204             var dataItem = data[i];
    205             var fromCoord = geoCoordMap[dataItem[0].name];
    206             var toCoord = geoCoordMap[dataItem[1].name];
    207             if (fromCoord && toCoord) {
    208                 res.push([{
    209                     coord: fromCoord
    210                 }, {
    211                     coord: toCoord
    212                 }]);
    213             }
    214         }
    215         return res;
    216     };
    217 
    218     var color = ['#a6c84c', '#ffa022', '#46bee9'];
    219     var series = [];
    220     [['北京', BJData], ['上海', SHData], ['广州', GZData]].forEach(function (item, i) {
    221         series.push({
    222                     name: item[0] + ' Top10',
    223                     type: 'lines',
    224                     zlevel: 1,
    225                     effect: {
    226                         show: true,
    227                         period: 6,
    228                         trailLength: 0.7,
    229                         color: '#fff',
    230                         symbolSize: 3
    231                     },
    232                     lineStyle: {
    233                         normal: {
    234                             color: color[i],
    235                              0,
    236                             curveness: 0.2
    237                         }
    238                     },
    239                     data: convertData(item[1])
    240                 },
    241                 {
    242                     name: item[0] + ' Top10',
    243                     type: 'lines',
    244                     zlevel: 2,
    245                     effect: {
    246                         show: true,
    247                         period: 6,
    248                         trailLength: 0,
    249                         symbol: planePath,
    250                         symbolSize: 15
    251                     },
    252                     lineStyle: {
    253                         normal: {
    254                             color: color[i],
    255                              1,
    256                             opacity: 0.4,
    257                             curveness: 0.2
    258                         }
    259                     },
    260                     data: convertData(item[1])
    261                 },
    262                 {
    263                     name: item[0] + ' Top10',
    264                     type: 'effectScatter',
    265                     coordinateSystem: 'geo',
    266                     zlevel: 2,
    267                     rippleEffect: {
    268                         brushType: 'stroke'
    269                     },
    270                     label: {
    271                         normal: {
    272                             show: true,
    273                             position: 'right',
    274                             formatter: '{b}'
    275                         }
    276                     },
    277                     symbolSize: function (val) {
    278                         return val[2] / 8;
    279                     },
    280                     itemStyle: {
    281                         normal: {
    282                             color: color[i]
    283                         }
    284                     },
    285                     data: item[1].map(function (dataItem) {
    286                         return {
    287                             name: dataItem[1].name,
    288                             value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
    289                         };
    290                     })
    291                 });
    292     });
    293 
    294     option = {
    295 //        backgroundColor: '#404a59',
    296         title: {
    297             text: 'Leaflet扩展Echarts3之模拟迁徙',
    298             subtext: 'Develop By WanderGIS',
    299             left: 'center',
    300             textStyle: {
    301                 color: '#fff'
    302             }
    303         },
    304         tooltip: {
    305             trigger: 'item'
    306         },
    307         legend: {
    308             orient: 'vertical',
    309             top: 'bottom',
    310             left: 'left',
    311             data: ['北京 Top10', '上海 Top10', '广州 Top10'],
    312             textStyle: {
    313                 color: '#fff'
    314             },
    315             selectedMode: 'single'
    316         },
    317         geo: {
    318             map: '',
    319             label: {
    320                 emphasis: {
    321                     show: false
    322                 }
    323             },
    324             roam: true,
    325             itemStyle: {
    326                 normal: {
    327                     areaColor: '#323c48',
    328                     borderColor: '#404a59'
    329                 },
    330                 emphasis: {
    331                     areaColor: '#2a333d'
    332                 }
    333             }
    334         },
    335         series: series
    336     };
    337     // 使用刚指定的配置项和数据显示图表。
    338     var    echartlayer = new OpenLayers.Layer.EchartMapLayer("echartlayer",map,echarts,{  
    339             option:option  
    340         });  
    341         map.addLayer(echartlayer); 
    342 
    343         echartlayer.alwaysInRange = true;
    344         
    345     </script>
    346 </body>

    注意:series的geo一定要设置,不然地图无法创建,map要置空,浏览器调试状态下会报错("Map not exists"),我们已经通过EchartMapLayer替代map的坐标转换功能;

    EchartMapLayer的封装也是参考前面连接里的思路,代码如下:

      1 OpenLayers.Layer.EchartMapLayer = OpenLayers.Class(OpenLayers.Layer,  {  
      2     isBaseLayer : false,  
      3     alwaysInRange: true,
      4     echart : null,  
      5     mapLayer : null,
      6     initialize : function (name, map, echart, options)  
      7     {
      8         var scope = this, echartdiv = document.createElement("div"), handler;  
      9 
     10         OpenLayers.Layer.prototype.initialize.apply(this, [name, options]);  
     11 
     12         echartdiv.style.cssText = "position:absolute;" + map.size.w + "px;height:"  
     13         + map.size.h + "px;";  
     14         scope.div.appendChild(echartdiv);  
     15         scope.map = map;  
     16         scope.echartdiv = echartdiv;  
     17         scope.opacity = options.opacity;  
     18         scope.echart = echart;  
     19         scope.option = options.option;  
     20         handler = function (e)  
     21         {  
     22             scope.updateLayer(e);  
     23         };  
     24         scope.updateLayer();  
     25          
    26
    map.events.register("moveend", this, handler); 27 }, 28 geoCoord2Pixel:function(geoCoord){ 29 var scope = this; 30 var lonLat = new OpenLayers.LonLat(geoCoord[0], geoCoord[1]); 31 var proj = new OpenLayers.Projection("EPSG:4326"); 32 lonLat.transform(proj, scope.map.getProjectionObject()); 33 34 var scrPt = scope.map.getPixelFromLonLat(lonLat); 35 var x = scrPt.x, 36 y = scrPt.y; 37 return [x,y]; 38 }, 39 updateLayer : function (e) 40 { 41 var scope = this; 42 var myChart = scope.echart.getInstanceByDom(scope.echartdiv); 43 if(!myChart){ 44 myChart = scope.echart.init(scope.echartdiv); 45 } 46 var orgXy, w, h; 47 if(e){ 48 orgXy = e.object.layerContainerOriginPx; 49 50 } 51 else{ 52 orgXy={x:0,y:0}; 53 } 54 w = scope.map.size.w; 55 h = scope.map.size.h; 56 scope.echartdiv.style.cssText = "position:absolute;top:"+(-orgXy.y)+"px;left:"+(-orgXy.x)+ 57 "px;" + w + "px;height:" + h + "px;"; 58 var ecOption = scope.getEcOption(); 59 myChart.setOption(ecOption); 60 }, 61 /** 62 *将echart的option转换 63 * @returns {*} 64 */ 65 getEcOption: function(){ 66 var scope = this; 67 scope._option = $.extend(true, {}, scope.option); //deep copy 68 var series = scope._option.series || {}; 69 70 for(var dex in series){ 71 var obj = series[dex]; 72 var type = obj.type; 73 if(type == "lines"){ 74 var datas = obj.data; 75 for(var i = 0; i < datas.length; i ++){ 76 var dataArray = datas[i]; 77 for(var j = 0; j < dataArray.length; j ++){ 78 var coords = dataArray[j]; 79 var coord = coords.coord; 80 var newGeo = scope._AddPos(coords); 81 scope._option.series[dex].data[i][j] = newGeo; 82 } 83 } 84 } 85 else if(type == "effectScatter"){ 86 var datas = obj.data; 87 for(var i = 0; i < datas.length; i ++){ 88 var dataArray = datas[i]; 89 var newObj = scope._AddPosEffect(dataArray); 90 scope._option.series[dex].data[i] = newObj; 91 } 92 93 } 94 95 } 96 return scope._option; 97 }, 98 _AddPos:function(coords){ 99 var scope = this; 100 var pos = scope.geoCoord2Pixel(coords.coord); 101 var newCoord = { 102 coord:[pos[0],pos[1]] 103 }; 104 return newCoord; 105 }, 106 _AddPosEffect:function(effectObj){ 107 var scope = this; 108 var pos = scope.geoCoord2Pixel(effectObj.value); 109 var newObj = { 110 name: effectObj.name, 111 value: [ 112 pos[0], 113 pos[1], 114 effectObj.value[2] 115 ] 116 }; 117 return newObj; 118 }, 119 destroy : function () 120 { 121 OpenLayers.Layer.Grid.prototype.destroy.apply(this, arguments); 122 }, 123 CLASS_NAME : "OpenLayers.Layer.EchartMapLayer" 124 } 125 );

    注意:getEcOption内的坐标转换需根据不同的series包含的数据,分层查找;

    效果图,OSM地图颜色偏白,可自行修改chart的配色。

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  • 原文地址:https://www.cnblogs.com/HandyLi/p/7543803.html
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