在地理坐标系 测试关系图
配置项如下
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]
};
function generate(data){
var name=data.name;
data.value=geoCoordMap[name].concat(data.value);
data.itemStyle= {
normal: {
color:randomColor(),
type: "solid"
}
}
return data;
}
var orgdatas=[{
"name": "上海",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "苏州",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "杭州",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "昆山",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "张家港",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "常熟",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "南通",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "宁波",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "嘉兴",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "无锡",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "常州",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "镇江",
"symbolSize": 40,
"draggable": "true",
"value": 27
},
{
"name": "南京",
"symbolSize": 40,
"draggable": "true",
"value": 27
}];
var datas=orgdatas.map(function(data){
return generate(data);
})
var links=[];
var org=orgdatas[0].name;
for(var i=1;i<orgdatas.length;i++){
links.push({
"source": org,
"target":orgdatas[i].name
})
}
option = {
title: {
text: "上海经济辐射",
top: "top",
left: "center"
},
tooltip: {},
legend: [{
formatter: function(name) {
return echarts.format.truncateText(name, 40, '14px Microsoft Yahei', '…');
},
tooltip: {
show: true
},
selectedMode: 'false',
bottom: 20,
data: ['刘备2239', '诸葛亮1892', '曹操979', '关羽948', '张飞408', '赵云393', '孙权390', '吕布384', '周瑜328', '魏延327']
}],
animationDuration: 3000,
animationEasingUpdate: 'quinticInOut',
bmap: {
center: [121.48,31.22],
zoom: 9,
roam: true,
mapStyle: {
'styleJson': [
{
'featureType': 'water',
'elementType': 'all',
'stylers': {
'color': '#031628'
}
},
{
'featureType': 'land',
'elementType': 'geometry',
'stylers': {
'color': '#000102'
}
},
{
'featureType': 'highway',
'elementType': 'all',
'stylers': {
'visibility': 'off'
}
},
{
'featureType': 'arterial',
'elementType': 'geometry.fill',
'stylers': {
'color': '#000000'
}
},
{
'featureType': 'arterial',
'elementType': 'geometry.stroke',
'stylers': {
'color': '#0b3d51'
}
},
{
'featureType': 'local',
'elementType': 'geometry',
'stylers': {
'color': '#000000'
}
},
{
'featureType': 'railway',
'elementType': 'geometry.fill',
'stylers': {
'color': '#000000'
}
},
{
'featureType': 'railway',
'elementType': 'geometry.stroke',
'stylers': {
'color': '#08304b'
}
},
{
'featureType': 'subway',
'elementType': 'geometry',
'stylers': {
'lightness': -70
}
},
{
'featureType': 'building',
'elementType': 'geometry.fill',
'stylers': {
'color': '#000000'
}
},
{
'featureType': 'all',
'elementType': 'labels.text.fill',
'stylers': {
'color': '#857f7f'
}
},
{
'featureType': 'all',
'elementType': 'labels.text.stroke',
'stylers': {
'color': '#000000'
}
},
{
'featureType': 'building',
'elementType': 'geometry',
'stylers': {
'color': '#022338'
}
},
{
'featureType': 'green',
'elementType': 'geometry',
'stylers': {
'color': '#062032'
}
},
{
'featureType': 'boundary',
'elementType': 'all',
'stylers': {
'color': '#465b6c'
}
},
{
'featureType': 'manmade',
'elementType': 'all',
'stylers': {
'color': '#022338'
}
},
{
'featureType': 'label',
'elementType': 'all',
'stylers': {
'visibility': 'off'
}
}
]
}
},
series: [{
name: '上海经济辐射',
type: 'graph',
coordinateSystem: 'bmap',
layout: 'force',
force: {
repulsion: 300
},
data: datas,
links: links,
focusNodeAdjacency: true,
roam: true,
label: {
normal: {
show: true,
position: 'top',
}
},
lineStyle: {
normal: {
color: 'red',
// curveness: 0.3,
type: "solid"
}
}
}]
};