官方案例：https://echarts.apache.org/examples/zh/editor.html?c=effectScatter-bmap
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>ECharts</title>
<!-- 引入 echarts.js -->
<script src="echarts.min.js"></script>
<script src="https://api.map.baidu.com/api?v=2.0&ak=xxxxxxxxxxxxxxxxxxxx"></script>
<script src="https://gallery.echartsjs.com/dep/echarts/latest/extension/bmap.min.js"></script>
</head>
<body>
<h2>注意：head中间的echarts.js和百度地图浏览器端ak替换你自己的</h2>
<!-- 为ECharts准备一个具备大小（宽高）的Dom -->
<div id="main" style="width: 600px;height:400px;"></div>
<script type="text/javascript">
// 基于准备好的dom，初始化echarts实例
var myChart = echarts.init(document.getElementById(\'main\'));
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;
};
option = {
title: {
text: \'全国主要城市空气质量 - 百度地图\',
subtext: \'data from PM25.in\',
sublink: \'http://www.pm25.in\',
left: \'center\'
},
tooltip: {
trigger: \'item\'
},
bmap: {
center: [104.114129, 37.550339],
zoom: 5,
roam: true,
mapStyle: {
styleJson: [{
\'featureType\': \'water\',
\'elementType\': \'all\',
\'stylers\': {
\'color\': \'#d1d1d1\'
}
}, {
\'featureType\': \'land\',
\'elementType\': \'all\',
\'stylers\': {
\'color\': \'#f3f3f3\'
}
}, {
\'featureType\': \'railway\',
\'elementType\': \'all\',
\'stylers\': {
\'visibility\': \'off\'
}
}, {
\'featureType\': \'highway\',
\'elementType\': \'all\',
\'stylers\': {
\'color\': \'#fdfdfd\'
}
}, {
\'featureType\': \'highway\',
\'elementType\': \'labels\',
\'stylers\': {
\'visibility\': \'off\'
}
}, {
\'featureType\': \'arterial\',
\'elementType\': \'geometry\',
\'stylers\': {
\'color\': \'#fefefe\'
}
}, {
\'featureType\': \'arterial\',
\'elementType\': \'geometry.fill\',
\'stylers\': {
\'color\': \'#fefefe\'
}
}, {
\'featureType\': \'poi\',
\'elementType\': \'all\',
\'stylers\': {
\'visibility\': \'off\'
}
}, {
\'featureType\': \'green\',
\'elementType\': \'all\',
\'stylers\': {
\'visibility\': \'off\'
}
}, {
\'featureType\': \'subway\',
\'elementType\': \'all\',
\'stylers\': {
\'visibility\': \'off\'
}
}, {
\'featureType\': \'manmade\',
\'elementType\': \'all\',
\'stylers\': {
\'color\': \'#d1d1d1\'
}
}, {
\'featureType\': \'local\',
\'elementType\': \'all\',
\'stylers\': {
\'color\': \'#d1d1d1\'
}
}, {
\'featureType\': \'arterial\',
\'elementType\': \'labels\',
\'stylers\': {
\'visibility\': \'off\'
}
}, {
\'featureType\': \'boundary\',
\'elementType\': \'all\',
\'stylers\': {
\'color\': \'#fefefe\'
}
}, {
\'featureType\': \'building\',
\'elementType\': \'all\',
\'stylers\': {
\'color\': \'#d1d1d1\'
}
}, {
\'featureType\': \'label\',
\'elementType\': \'labels.text.fill\',
\'stylers\': {
\'color\': \'#999999\'
}
}]
}
},
series: [{
name: \'pm2.5\',
type: \'scatter\',
coordinateSystem: \'bmap\',
data: convertData(data),
symbolSize: function(val) {
return val[2] / 10;
},
label: {
normal: {
formatter: \'{b}\',
position: \'right\',
show: false
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: \'purple\'
}
}
},
{
name: \'Top 5\',
type: \'effectScatter\',
coordinateSystem: \'bmap\',
data: convertData(data.sort(function(a, b) {
return b.value - a.value;
}).slice(0, 6)),
symbolSize: function(val) {
return val[2] / 10;
},
showEffectOn: \'render\',
rippleEffect: {
brushType: \'stroke\'
},
hoverAnimation: true,
label: {
normal: {
formatter: \'{b}\',
position: \'right\',
show: true
}
},
itemStyle: {
normal: {
color: \'purple\',
shadowBlur: 10,
shadowColor: \'#333\'
}
},
zlevel: 1
}
]
}
// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
</script>
</body>
</html>