eCharts01-地图标记散点图

1.准备

①eCharts.js

②地图数据world.js 或者china.js 或者各个省份的地图数据xxxx.js

https://echarts.baidu.com/download-map.html 官网停止下载

可以在github中找到新的下载地址：https://github.com/apache/incubator-echarts

在option里面的geo配置地图类型的时候，world和china直接使用英文名，省份要用汉字。

 geo:{map:'china',  //省份要用汉字itemStyle:{normal:{areaColor:'#323c48',borderColor:'#111',color:'black'},emphasis:{areaColor:'#2a333d'}}}

除了使用地图js，还有json格式的，下载地址和js格式一样。参考：https://www.cnblogs.com/softidea/p/7082124.html

除了这两种形式，还有直接使用百度地图。在github上的extention里的bmap.js.

bmap.js基于echarts3，所以最好使用echarts3. bmap下载地址为：

https://pan.baidu.com/s/1jwNPIMf3NdybmB4fWLI5Fg

③使用echarts，要现在html中写一个div容器，容器高度不能为0.

然后引入echarts.js，使用步骤就是先在js里面初始化，然后配置option,最后setoption

// 初始化echarts示例mapChart
var mapChart = echarts.init(document.getElementById('map-wrap'));// mapChart的配置
var option = {};mapChart.setOption(option);

2.绘制地图

2.1绘制基本地图

var option = {geo: {map: 'china',itemStyle: {                    // 定义样式normal: {                    // 普通状态下的样式areaColor: '#323c48',borderColor: '#111'},emphasis: {                    // 高亮状态下的样式areaColor: '#2a333d'}}},backgroundColor: '#404a59',          // 图表背景色
}

2.2数据

参考文章最后，一个是对象数组，包括城市名和pm2.5的值；一个是对象，城市名是索引，城市经纬度是value。

首先要把初始数据转换为地图使用的数据。

地图使用的数据格式为：

{name: '北京',    // 数据项名称，在这里指地区名称value: [        // 数据项值116.46,     // 地理坐标，经度39.92,      // 地理坐标，纬度340         // 北京地区的数值]
}

转换函数为：（两点：①对象可以根据给定的key检索value；②数组可以直接往后面添加concatl连接的方法）

var result=[];
for(var i=0;i<data.length;i++){result.push({'name':data[i].name,'value':[dataPoint[data[i].name][0],dataPoint[data[i].name][1],data[i].value]})
}//更好的var convertData = function (data) {var res = [];for (var i = 0; i < data.length; i++) {var geoCoord = geoCoordMap[data[i].name];if (geoCoord) {res.push({name: data[i].name,value: geoCoord.concat(data[i].value)});}}return res;};

通过函数，转换格式后的数据为myData。通过series导入数据

var option = {geo: {...},backgroundColor: '#404a59',series: [             //通过series添加散点图{name: '销量',     //series名称type: 'scatter',           //series图表类型coordinateSystem: 'geo',    //series坐标系名称data: myData // series数据内容       //要按照固定数据格式}]
}

2.3添加视觉映射组件

视觉映射组件是标识某一数据范围内数据及颜色对应关系的控件，视觉映射组件分为连续型和分段型，这里我们选用连续型 type:continuous 。同时，通过视觉映射组件可以实现 ECharts 值域漫游功能，即通过拖拽控件手柄选择不同数值范围，达到对图表数据的筛选显示。在 visualMap属性中设置值域控件的相关配置：

var option = {...visualMap: {type: 'continuous', // 连续型min: 0,               // 值域最小值，必须参数max: 200,            // 值域最大值，必须参数calculable: true,    // 是否启用值域漫游inRange: {color: ['#50a3ba','#eac736','#d94e5d']// 指定数值从低到高时的颜色变化},textStyle: {color: '#fff'    // 值域控件的文本颜色}}
}

这样一个基于中国地图的散点图就基本实现了，如果想要继续完善图表，可以为它添加标题，图例，高亮提示等控件，配置方式在这里查看（ECharts 配置项手册），在此不再详细说明。

http://echarts.baidu.com/blog/2016/04/28/echarts-map-tutorial.html

3.使用百度地图绘制

3.1引入百度地图扩展包

bmap.js

申请百度AK

可以使用

<script src="http://api.map.baidu.com/api?v=2.0&ak=53oVIOgmSIejwV7EfphPgTynOZbIiVYu"></script>

3.2新建echarts示例

var bmapChart = echarts.init(document.getElementById('map-wrap'));var option = {// 这里是 ECharts 的配置项，接下来会说明
}bmapChart.setOption(option);

3.3添加百度地图：

在 option 中添加 bmap 相关设置：

var option = {bmap: {center: [116.307698, 40.056975], // 中心位置坐标zoom: 5, // 地图缩放比例roam: true // 开启用户缩放}}

引入数据和添加视觉映射组件的部分同上，不过使用时要将series中的坐标系名称改为bmap.

对百度地图的显示进行设置：自定义百度地图的样式，设置颜色，是否开启边境线等。在bmap的mapStyle属性里面设置。

<!DOCTYPE html>
<html lang="en">
<head><meta charset="UTF-8"><title></title>
</head>
<body>
<div id="mainChart" style="width: 600px;height: 500px;"></div>
<script src="http://api.map.baidu.com/api?v=2.0&ak=53oVIOgmSIejwV7EfphPgTynOZbIiVYu"></script>
<script src="echarts.js"></script>
<script src="bmap.js"></script>
<!--<script src=" example.js"></script>-->
<script>var myChart=echarts.init(document.getElementById('mainChart'));var data = [{name: '海门', value: 9},{name: '鄂尔多斯', value: 12},{name: '招远', value: 12},{name: '舟山', value: 12},{name: '齐齐哈尔', value: 14},{name: '盐城', value: 15},{name: '赤峰', value: 16},{name: '青岛', value: 18},{name: '乳山', value: 18},{name: '金昌', value: 19},{name: '泉州', value: 21},{name: '莱西', value: 21},{name: '日照', value: 21},{name: '胶南', value: 22},{name: '南通', value: 23},{name: '拉萨', value: 24},{name: '云浮', value: 24},{name: '梅州', value: 25},{name: '文登', value: 25},{name: '上海', value: 25},{name: '攀枝花', value: 25},{name: '威海', value: 25},{name: '承德', value: 25},{name: '厦门', value: 26},{name: '汕尾', value: 26},{name: '潮州', value: 26},{name: '丹东', value: 27},{name: '太仓', value: 27},{name: '曲靖', value: 27},{name: '烟台', value: 28},{name: '福州', value: 29},{name: '瓦房店', value: 30},{name: '即墨', value: 30},{name: '抚顺', value: 31},{name: '玉溪', value: 31},{name: '张家口', value: 31},{name: '阳泉', value: 31},{name: '莱州', value: 32},{name: '湖州', value: 32},{name: '汕头', value: 32},{name: '昆山', value: 33},{name: '宁波', value: 33},{name: '湛江', value: 33},{name: '揭阳', value: 34},{name: '荣成', value: 34},{name: '连云港', value: 35},{name: '葫芦岛', value: 35},{name: '常熟', value: 36},{name: '东莞', value: 36},{name: '河源', value: 36},{name: '淮安', value: 36},{name: '泰州', value: 36},{name: '南宁', value: 37},{name: '营口', value: 37},{name: '惠州', value: 37},{name: '江阴', value: 37},{name: '蓬莱', value: 37},{name: '韶关', value: 38},{name: '嘉峪关', value: 38},{name: '广州', value: 38},{name: '延安', value: 38},{name: '太原', value: 39},{name: '清远', value: 39},{name: '中山', value: 39},{name: '昆明', value: 39},{name: '寿光', value: 40},{name: '盘锦', value: 40},{name: '长治', value: 41},{name: '深圳', value: 41},{name: '珠海', value: 42},{name: '宿迁', value: 43},{name: '咸阳', value: 43},{name: '铜川', value: 44},{name: '平度', value: 44},{name: '佛山', value: 44},{name: '海口', value: 44},{name: '江门', value: 45},{name: '章丘', value: 45},{name: '肇庆', value: 46},{name: '大连', value: 47},{name: '临汾', value: 47},{name: '吴江', value: 47},{name: '石嘴山', value: 49},{name: '沈阳', value: 50},{name: '苏州', value: 50},{name: '茂名', value: 50},{name: '嘉兴', value: 51},{name: '长春', value: 51},{name: '胶州', value: 52},{name: '银川', value: 52},{name: '张家港', value: 52},{name: '三门峡', value: 53},{name: '锦州', value: 54},{name: '南昌', value: 54},{name: '柳州', value: 54},{name: '三亚', value: 54},{name: '自贡', value: 56},{name: '吉林', value: 56},{name: '阳江', value: 57},{name: '泸州', value: 57},{name: '西宁', value: 57},{name: '宜宾', value: 58},{name: '呼和浩特', value: 58},{name: '成都', value: 58},{name: '大同', value: 58},{name: '镇江', value: 59},{name: '桂林', value: 59},{name: '张家界', value: 59},{name: '宜兴', value: 59},{name: '北海', value: 60},{name: '西安', value: 61},{name: '金坛', value: 62},{name: '东营', value: 62},{name: '牡丹江', value: 63},{name: '遵义', value: 63},{name: '绍兴', value: 63},{name: '扬州', value: 64},{name: '常州', value: 64},{name: '潍坊', value: 65},{name: '重庆', value: 66},{name: '台州', value: 67},{name: '南京', value: 67},{name: '滨州', value: 70},{name: '贵阳', value: 71},{name: '无锡', value: 71},{name: '本溪', value: 71},{name: '克拉玛依', value: 72},{name: '渭南', value: 72},{name: '马鞍山', value: 72},{name: '宝鸡', value: 72},{name: '焦作', value: 75},{name: '句容', value: 75},{name: '北京', value: 79},{name: '徐州', value: 79},{name: '衡水', value: 80},{name: '包头', value: 80},{name: '绵阳', value: 80},{name: '乌鲁木齐', value: 84},{name: '枣庄', value: 84},{name: '杭州', value: 84},{name: '淄博', value: 85},{name: '鞍山', value: 86},{name: '溧阳', value: 86},{name: '库尔勒', value: 86},{name: '安阳', value: 90},{name: '开封', value: 90},{name: '济南', value: 92},{name: '德阳', value: 93},{name: '温州', value: 95},{name: '九江', value: 96},{name: '邯郸', value: 98},{name: '临安', value: 99},{name: '兰州', value: 99},{name: '沧州', value: 100},{name: '临沂', value: 103},{name: '南充', value: 104},{name: '天津', value: 105},{name: '富阳', value: 106},{name: '泰安', value: 112},{name: '诸暨', value: 112},{name: '郑州', value: 113},{name: '哈尔滨', value: 114},{name: '聊城', value: 116},{name: '芜湖', value: 117},{name: '唐山', value: 119},{name: '平顶山', value: 119},{name: '邢台', value: 119},{name: '德州', value: 120},{name: '济宁', value: 120},{name: '荆州', value: 127},{name: '宜昌', value: 130},{name: '义乌', value: 132},{name: '丽水', value: 133},{name: '洛阳', value: 134},{name: '秦皇岛', value: 136},{name: '株洲', value: 143},{name: '石家庄', value: 147},{name: '莱芜', value: 148},{name: '常德', value: 152},{name: '保定', value: 153},{name: '湘潭', value: 154},{name: '金华', value: 157},{name: '岳阳', value: 169},{name: '长沙', value: 175},{name: '衢州', value: 177},{name: '廊坊', value: 193},{name: '菏泽', value: 194},{name: '合肥', value: 229},{name: '武汉', value: 273},{name: '大庆', value: 279}];var geoCoordMap = {'海门':[121.15,31.89],'鄂尔多斯':[109.781327,39.608266],'招远':[120.38,37.35],'舟山':[122.207216,29.985295],'齐齐哈尔':[123.97,47.33],'盐城':[120.13,33.38],'赤峰':[118.87,42.28],'青岛':[120.33,36.07],'乳山':[121.52,36.89],'金昌':[102.188043,38.520089],'泉州':[118.58,24.93],'莱西':[120.53,36.86],'日照':[119.46,35.42],'胶南':[119.97,35.88],'南通':[121.05,32.08],'拉萨':[91.11,29.97],'云浮':[112.02,22.93],'梅州':[116.1,24.55],'文登':[122.05,37.2],'上海':[121.48,31.22],'攀枝花':[101.718637,26.582347],'威海':[122.1,37.5],'承德':[117.93,40.97],'厦门':[118.1,24.46],'汕尾':[115.375279,22.786211],'潮州':[116.63,23.68],'丹东':[124.37,40.13],'太仓':[121.1,31.45],'曲靖':[103.79,25.51],'烟台':[121.39,37.52],'福州':[119.3,26.08],'瓦房店':[121.979603,39.627114],'即墨':[120.45,36.38],'抚顺':[123.97,41.97],'玉溪':[102.52,24.35],'张家口':[114.87,40.82],'阳泉':[113.57,37.85],'莱州':[119.942327,37.177017],'湖州':[120.1,30.86],'汕头':[116.69,23.39],'昆山':[120.95,31.39],'宁波':[121.56,29.86],'湛江':[110.359377,21.270708],'揭阳':[116.35,23.55],'荣成':[122.41,37.16],'连云港':[119.16,34.59],'葫芦岛':[120.836932,40.711052],'常熟':[120.74,31.64],'东莞':[113.75,23.04],'河源':[114.68,23.73],'淮安':[119.15,33.5],'泰州':[119.9,32.49],'南宁':[108.33,22.84],'营口':[122.18,40.65],'惠州':[114.4,23.09],'江阴':[120.26,31.91],'蓬莱':[120.75,37.8],'韶关':[113.62,24.84],'嘉峪关':[98.289152,39.77313],'广州':[113.23,23.16],'延安':[109.47,36.6],'太原':[112.53,37.87],'清远':[113.01,23.7],'中山':[113.38,22.52],'昆明':[102.73,25.04],'寿光':[118.73,36.86],'盘锦':[122.070714,41.119997],'长治':[113.08,36.18],'深圳':[114.07,22.62],'珠海':[113.52,22.3],'宿迁':[118.3,33.96],'咸阳':[108.72,34.36],'铜川':[109.11,35.09],'平度':[119.97,36.77],'佛山':[113.11,23.05],'海口':[110.35,20.02],'江门':[113.06,22.61],'章丘':[117.53,36.72],'肇庆':[112.44,23.05],'大连':[121.62,38.92],'临汾':[111.5,36.08],'吴江':[120.63,31.16],'石嘴山':[106.39,39.04],'沈阳':[123.38,41.8],'苏州':[120.62,31.32],'茂名':[110.88,21.68],'嘉兴':[120.76,30.77],'长春':[125.35,43.88],'胶州':[120.03336,36.264622],'银川':[106.27,38.47],'张家港':[120.555821,31.875428],'三门峡':[111.19,34.76],'锦州':[121.15,41.13],'南昌':[115.89,28.68],'柳州':[109.4,24.33],'三亚':[109.511909,18.252847],'自贡':[104.778442,29.33903],'吉林':[126.57,43.87],'阳江':[111.95,21.85],'泸州':[105.39,28.91],'西宁':[101.74,36.56],'宜宾':[104.56,29.77],'呼和浩特':[111.65,40.82],'成都':[104.06,30.67],'大同':[113.3,40.12],'镇江':[119.44,32.2],'桂林':[110.28,25.29],'张家界':[110.479191,29.117096],'宜兴':[119.82,31.36],'北海':[109.12,21.49],'西安':[108.95,34.27],'金坛':[119.56,31.74],'东营':[118.49,37.46],'牡丹江':[129.58,44.6],'遵义':[106.9,27.7],'绍兴':[120.58,30.01],'扬州':[119.42,32.39],'常州':[119.95,31.79],'潍坊':[119.1,36.62],'重庆':[106.54,29.59],'台州':[121.420757,28.656386],'南京':[118.78,32.04],'滨州':[118.03,37.36],'贵阳':[106.71,26.57],'无锡':[120.29,31.59],'本溪':[123.73,41.3],'克拉玛依':[84.77,45.59],'渭南':[109.5,34.52],'马鞍山':[118.48,31.56],'宝鸡':[107.15,34.38],'焦作':[113.21,35.24],'句容':[119.16,31.95],'北京':[116.46,39.92],'徐州':[117.2,34.26],'衡水':[115.72,37.72],'包头':[110,40.58],'绵阳':[104.73,31.48],'乌鲁木齐':[87.68,43.77],'枣庄':[117.57,34.86],'杭州':[120.19,30.26],'淄博':[118.05,36.78],'鞍山':[122.85,41.12],'溧阳':[119.48,31.43],'库尔勒':[86.06,41.68],'安阳':[114.35,36.1],'开封':[114.35,34.79],'济南':[117,36.65],'德阳':[104.37,31.13],'温州':[120.65,28.01],'九江':[115.97,29.71],'邯郸':[114.47,36.6],'临安':[119.72,30.23],'兰州':[103.73,36.03],'沧州':[116.83,38.33],'临沂':[118.35,35.05],'南充':[106.110698,30.837793],'天津':[117.2,39.13],'富阳':[119.95,30.07],'泰安':[117.13,36.18],'诸暨':[120.23,29.71],'郑州':[113.65,34.76],'哈尔滨':[126.63,45.75],'聊城':[115.97,36.45],'芜湖':[118.38,31.33],'唐山':[118.02,39.63],'平顶山':[113.29,33.75],'邢台':[114.48,37.05],'德州':[116.29,37.45],'济宁':[116.59,35.38],'荆州':[112.239741,30.335165],'宜昌':[111.3,30.7],'义乌':[120.06,29.32],'丽水':[119.92,28.45],'洛阳':[112.44,34.7],'秦皇岛':[119.57,39.95],'株洲':[113.16,27.83],'石家庄':[114.48,38.03],'莱芜':[117.67,36.19],'常德':[111.69,29.05],'保定':[115.48,38.85],'湘潭':[112.91,27.87],'金华':[119.64,29.12],'岳阳':[113.09,29.37],'长沙':[113,28.21],'衢州':[118.88,28.97],'廊坊':[116.7,39.53],'菏泽':[115.480656,35.23375],'合肥':[117.27,31.86],'武汉':[114.31,30.52],'大庆':[125.03,46.58]};var convertData = function (data) {var res = [];for (var i = 0; i < data.length; i++) {var geoCoord = geoCoordMap[data[i].name];if (geoCoord) {res.push({name: data[i].name,value: geoCoord.concat(data[i].value)});}}return res;};var myData=convertData(data);var option={// geo:{//     map:'china',  //省份要用汉字//     itemStyle:{//         normal:{//             areaColor:'#323c48',//             borderColor:'#111',//             color:'black'//         },//         emphasis:{//             areaColor:'#2a333d'//         }//     }// },bmap: {center: [116.307698, 40.056975], // 中心位置坐标zoom: 5, // 地图缩放比例roam: true, // 开启用户缩放mapStyle:{ //百度地图自定义样式styleJson:[//陆地{"featureType":"land","elementType":"all","stylers":{"color":"#073763"}},//水系{"featureType":"water","elementType":"all","stylers":{"color":"#073763","lightness":-54}},// 国道与高速{"featureType": "highway","elementType": "all","stylers": {"color": "#45818e"}},// 边界线{"featureType": "boundary","elementType": "all","stylers": {"color": "#ffffff","lightness": -62,"visibility": "on"}},// 行政标注{"featureType": "label","elementType": "labels.text.fill","stylers": {"color": "#ffffff","visibility": "on"}},{"featureType": "label","elementType": "labels.text.stroke","stylers": {"color": "#444444","visibility": "on"}}]}},backgroundColor:'#404a59',visualMap: {type: 'continuous', // 连续型min: 0,               // 值域最小值，必须参数max: 200,            // 值域最大值，必须参数calculable: true,    // 是否启用值域漫游inRange: {color: ['#50a3ba','#eac736','#d94e5d']// 指定数值从低到高时的颜色变化},textStyle: {color: '#fff'    // 值域控件的文本颜色}},series:[{name:'相机位置',type:'scatter',coordinateSystem:'bmap',data:myData}]}myChart.setOption(option);
</script>
</body>
</html>

参考：https://www.cnblogs.com/softidea/p/7082124.html