giserhome

效果图如下:

参考GitHub来实现的,更详细的源码以及参数说明见:GitHub

  • 本篇文章的html源码:
<!DOCTYPE html>
<html>
<head>
<title>openlayers6结合echarts4实现迁徙图</title>
<link rel="stylesheet" href="lib/ol.css">
<script src="lib/ol.js"></script>
<script src="lib/echarts.js"></script>
<script src="lib/ol-echarts.js"></script>
<!--<script src="https://cdn.jsdelivr.net/npm/echarts/dist/echarts.js"></script>
<script src="https://unpkg.com/ol-echarts/dist/ol-echarts.js"></script>-->
<style>
html, body, #map {
height: 100%;
margin: 0;
padding: 0;
}
</style>
</head>
<body>
<div id="map"></div>
<script>
/**
* 地图创建初始化
*/
var map = new ol.Map({
target: \'map\',
layers: [
new ol.layer.Tile({
source: new ol.source.XYZ({
url: \'http://cache1.arcgisonline.cn/arcgis/rest/services/ChinaOnline\' +
\'StreetPurplishBlue/MapServer/tile/{z}/{y}/{x}\'
})
})
],
view: new ol.View({
center: [116.55406673632812, 39.94828066015626],
projection: \'EPSG:4326\',
zoom: 10
})
});
 
//迁徙图图层初始化
var echartslayer = new EChartsLayer(getOption());
echartslayer.appendTo(map)
function getOption () {
var geoCoordMap = {
\'上海\': [121.4648, 31.2891],
\'东莞\': [113.8953, 22.901],
\'东营\': [118.7073, 37.5513],
\'中山\': [113.4229, 22.478],
\'临汾\': [111.4783, 36.1615],
\'临沂\': [118.3118, 35.2936],
\'丹东\': [124.541, 40.4242],
\'丽水\': [119.5642, 28.1854],
\'乌鲁木齐\': [87.9236, 43.5883],
\'佛山\': [112.8955, 23.1097],
\'保定\': [115.0488, 39.0948],
\'兰州\': [103.5901, 36.3043],
\'包头\': [110.3467, 41.4899],
\'北京\': [116.4551, 40.2539],
\'北海\': [109.314, 21.6211],
\'南京\': [118.8062, 31.9208],
\'南宁\': [108.479, 23.1152],
\'南昌\': [116.0046, 28.6633],
\'南通\': [121.1023, 32.1625],
\'厦门\': [118.1689, 24.6478],
\'台州\': [121.1353, 28.6688],
\'合肥\': [117.29, 32.0581],
\'呼和浩特\': [111.4124, 40.4901],
\'咸阳\': [108.4131, 34.8706],
\'哈尔滨\': [127.9688, 45.368],
\'唐山\': [118.4766, 39.6826],
\'嘉兴\': [120.9155, 30.6354],
\'大同\': [113.7854, 39.8035],
\'大连\': [122.2229, 39.4409],
\'天津\': [117.4219, 39.4189],
\'太原\': [112.3352, 37.9413],
\'威海\': [121.9482, 37.1393],
\'宁波\': [121.5967, 29.6466],
\'宝鸡\': [107.1826, 34.3433],
\'宿迁\': [118.5535, 33.7775],
\'常州\': [119.4543, 31.5582],
\'广州\': [113.5107, 23.2196],
\'廊坊\': [116.521, 39.0509],
\'延安\': [109.1052, 36.4252],
\'张家口\': [115.1477, 40.8527],
\'徐州\': [117.5208, 34.3268],
\'德州\': [116.6858, 37.2107],
\'惠州\': [114.6204, 23.1647],
\'成都\': [103.9526, 30.7617],
\'扬州\': [119.4653, 32.8162],
\'承德\': [117.5757, 41.4075],
\'拉萨\': [91.1865, 30.1465],
\'无锡\': [120.3442, 31.5527],
\'日照\': [119.2786, 35.5023],
\'昆明\': [102.9199, 25.4663],
\'杭州\': [119.5313, 29.8773],
\'枣庄\': [117.323, 34.8926],
\'柳州\': [109.3799, 24.9774],
\'株洲\': [113.5327, 27.0319],
\'武汉\': [114.3896, 30.6628],
\'汕头\': [117.1692, 23.3405],
\'江门\': [112.6318, 22.1484],
\'沈阳\': [123.1238, 42.1216],
\'沧州\': [116.8286, 38.2104],
\'河源\': [114.917, 23.9722],
\'泉州\': [118.3228, 25.1147],
\'泰安\': [117.0264, 36.0516],
\'泰州\': [120.0586, 32.5525],
\'济南\': [117.1582, 36.8701],
\'济宁\': [116.8286, 35.3375],
\'海口\': [110.3893, 19.8516],
\'淄博\': [118.0371, 36.6064],
\'淮安\': [118.927, 33.4039],
\'深圳\': [114.5435, 22.5439],
\'清远\': [112.9175, 24.3292],
\'温州\': [120.498, 27.8119],
\'渭南\': [109.7864, 35.0299],
\'湖州\': [119.8608, 30.7782],
\'湘潭\': [112.5439, 27.7075],
\'滨州\': [117.8174, 37.4963],
\'潍坊\': [119.0918, 36.524],
\'烟台\': [120.7397, 37.5128],
\'玉溪\': [101.9312, 23.8898],
\'珠海\': [113.7305, 22.1155],
\'盐城\': [120.2234, 33.5577],
\'盘锦\': [121.9482, 41.0449],
\'石家庄\': [114.4995, 38.1006],
\'福州\': [119.4543, 25.9222],
\'秦皇岛\': [119.2126, 40.0232],
\'绍兴\': [120.564, 29.7565],
\'聊城\': [115.9167, 36.4032],
\'肇庆\': [112.1265, 23.5822],
\'舟山\': [122.2559, 30.2234],
\'苏州\': [120.6519, 31.3989],
\'莱芜\': [117.6526, 36.2714],
\'菏泽\': [115.6201, 35.2057],
\'营口\': [122.4316, 40.4297],
\'葫芦岛\': [120.1575, 40.578],
\'衡水\': [115.8838, 37.7161],
\'衢州\': [118.6853, 28.8666],
\'西宁\': [101.4038, 36.8207],
\'西安\': [109.1162, 34.2004],
\'贵阳\': [106.6992, 26.7682],
\'连云港\': [119.1248, 34.552],
\'邢台\': [114.8071, 37.2821],
\'邯郸\': [114.4775, 36.535],
\'郑州\': [113.4668, 34.6234],
\'鄂尔多斯\': [108.9734, 39.2487],
\'重庆\': [107.7539, 30.1904],
\'金华\': [120.0037, 29.1028],
\'铜川\': [109.0393, 35.1947],
\'银川\': [106.3586, 38.1775],
\'镇江\': [119.4763, 31.9702],
\'长春\': [125.8154, 44.2584],
\'长沙\': [113.0823, 28.2568],
\'长治\': [112.8625, 36.4746],
\'阳泉\': [113.4778, 38.0951],
\'青岛\': [120.4651, 36.3373],
\'韶关\': [113.7964, 24.7028]
};
var BJData = [
[{name: \'北京\'}, {name: \'上海\', value: 95}],
[{name: \'北京\'}, {name: \'广州\', value: 90}],
[{name: \'北京\'}, {name: \'大连\', value: 80}],
[{name: \'北京\'}, {name: \'南宁\', value: 70}],
[{name: \'北京\'}, {name: \'南昌\', value: 60}],
[{name: \'北京\'}, {name: \'拉萨\', value: 50}],
[{name: \'北京\'}, {name: \'长春\', value: 40}],
[{name: \'北京\'}, {name: \'包头\', value: 30}],
[{name: \'北京\'}, {name: \'重庆\', value: 20}],
[{name: \'北京\'}, {name: \'常州\', value: 10}]
];
var SHData = [
[{name: \'上海\'}, {name: \'包头\', value: 95}],
[{name: \'上海\'}, {name: \'昆明\', value: 90}],
[{name: \'上海\'}, {name: \'广州\', value: 80}],
[{name: \'上海\'}, {name: \'郑州\', value: 70}],
[{name: \'上海\'}, {name: \'长春\', value: 60}],
[{name: \'上海\'}, {name: \'重庆\', value: 50}],
[{name: \'上海\'}, {name: \'长沙\', value: 40}],
[{name: \'上海\'}, {name: \'北京\', value: 30}],
[{name: \'上海\'}, {name: \'丹东\', value: 20}],
[{name: \'上海\'}, {name: \'大连\', value: 10}]
];
var GZData = [
[{name: \'广州\'}, {name: \'福州\', value: 95}],
[{name: \'广州\'}, {name: \'太原\', value: 90}],
[{name: \'广州\'}, {name: \'长春\', value: 80}],
[{name: \'广州\'}, {name: \'重庆\', value: 70}],
[{name: \'广州\'}, {name: \'西安\', value: 60}],
[{name: \'广州\'}, {name: \'成都\', value: 50}],
[{name: \'广州\'}, {name: \'常州\', value: 40}],
[{name: \'广州\'}, {name: \'北京\', value: 30}],
[{name: \'广州\'}, {name: \'北海\', value: 20}],
[{name: \'广州\'}, {name: \'海口\', value: 10}]
];
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\';
var convertData = function (data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var dataItem = data[i];
var fromCoord = geoCoordMap[dataItem[0].name];
var toCoord = geoCoordMap[dataItem[1].name];
if (fromCoord && toCoord) {
res.push({
fromName: dataItem[0].name,
toName: dataItem[1].name,
coords: [fromCoord, toCoord]
});
}
}
return res;
};
var color = [\'#a6c84c\', \'#ffa022\', \'#46bee9\'];
var series = [];
[
[\'北京\', BJData], [\'上海\', SHData], [\'广州\', GZData]].forEach(
function (item, i) {
series.push({
name: item[0] + \' Top10\',
type: \'lines\',
zlevel: 1,
effect: {
show: true,
period: 6,
trailLength: 0.7,
color: \'#fff\',
symbolSize: 3
},
lineStyle: {
normal: {
color: color[i],
width: 0,
curveness: 0.2
}
},
data: convertData(item[1])
},
{
name: item[0] + \' Top10\',
type: \'lines\',
zlevel: 2,
effect: {
show: true,
period: 6,
trailLength: 0,
symbol: planePath,
symbolSize: 15
},
lineStyle: {
normal: {
color: color[i],
width: 1,
opacity: 0.4,
curveness: 0.2
}
},
data: convertData(item[1])
},
{
name: item[0] + \' Top10\',
type: \'effectScatter\',
coordinateSystem: \'geo\',
zlevel: 2,
rippleEffect: {
brushType: \'stroke\'
},
label: {
normal: {
show: true,
position: \'right\',
formatter: \'{b}\'
}
},
symbolSize: function (val) {
return val[2] / 8;
},
itemStyle: {
normal: {
color: color[i]
}
},
data: item[1].map(function (dataItem) {
return {
name: dataItem[1].name,
value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
};
})
});
});
return {
tooltip: {
trigger: \'item\'
},
/*title: {
text: \'模拟迁徙图\',
subtext: \'\',
left: \'center\',
textStyle: {
color: \'#fff\'
}
},*/
series: series
};
}
 
</script>
</body>
</html>

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