Echarts使用一：在地图上将特定城市显示高亮
Posted liuchongee
tags:
篇首语：本文由小常识网(cha138.com)小编为大家整理，主要介绍了Echarts使用一：在地图上将特定城市显示高亮相关的知识，希望对你有一定的参考价值。
最近项目要使用echarts进行数据可视化。主要用到中国和各省市地图，第一次用也是遇到了很多问题，在这里记录一下，方便以后回顾。
首先将第一个需求说一下，就是根据传入的一条数据在地图上将两个城市连线并显示高亮。在介绍代码之前先说一下echarts的一个大致流程。以地图为例：
1，标签里面一般会将要使用到的js文件引入进来，这里的js文件可以是在线的，比如说下面例子中所使用的链接；也可以是本地的，也就是把echarts官网提供的文件下载下来，把本机文件存储路径写上也是可以的，目的就是把地图要使用到的数据导入进来。
2，进入body之后会为地图生成一个div，用于放置所生成的地图。就是下面这句话：
var myChart = echarts.init(document.getElementById('main'));3，为要生成的地图配置参数，这里也是最重要的部分，要按照自己的需求生成想要的地图就要定制自己的option，这部分就要自己去深入了解了。
4，把参数传入之前定义的myChart变量，把地图显示出来。
myChart.setOption(option);
恩，一个最简的流程就是这样，我这个demo本来是要连接数据库查询数据的，但是这里为了简单就定义一个数据然后循环读取。
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>echarts使用一</title>
<link rel="stylesheet" href="../css/main.css" type="text/css"/>
<!-- 引入 echarts.js -->
<script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/echarts-all-3.js"></script>
<script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/extension/dataTool.min.js"></script>
<script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/map/js/china.js"></script>
<script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/map/js/world.js"></script>
<script type="text/javascript" src="http://api.map.baidu.com/api?v=2.0&ak=ZUONbpqGBsYGXNIYHicvbAbM"></script>
<script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/extension/bmap.min.js"></script>
</head>
<body>
<!-- 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: '广州', value: '北京'
];
//这里记录每个城市的坐标信息（不全）
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]
;
//根据data得到每个data中城市的坐标
var convertData = function (data)
var res = [];
for (var i = 0; i < data.length; i++)
var fromCoord = geoCoordMap[data[i].name];//获取城市的坐标 source
var toCoord = geoCoordMap[data[i].value];//获取城市的坐标 destination
if (fromCoord && toCoord)
res.push(
fromName: data[i].name,
toName: data[i].value,
coords: [fromCoord, toCoord]
);
return res;
;
//根据data得到放射光标效果图。如果起始城市没有值的话，就只显示目的城市
var convertData1 = function (data)
var res = [];
for (var i = 0; i < data.length; i++)
var geoCoord = geoCoordMap[data[i].name];
var geoCoord1 = geoCoordMap[data[i].value];
if (geoCoord)
res.push(
name: data[i].name,
value: geoCoord.concat(data[i].value)
);
if(geoCoord1)
res.push(
name: data[i].value,
value: geoCoord1.concat(data[i].name)
)
return res;
;
//设置一些可选的参数
option =
//设置背景颜色
backgroundColor: '#f3f3f3',
//设置图片标题、子标题、文本颜色等等
title:
text: 'echarts使用1',
subtext: 'made by 刘冲',
left: 'center',
textStyle:
color: '#000'
,
tooltip :
trigger: 'item'
,
geo:
map: 'china',
label:
emphasis:
show: true
,
//是否可以点击鼠标、滚轮缩放
roam: true,
,
//series就是要绘制的地图的主体。是一个数组，也就是说可以有多个数据进行绘制。这里有两个，一个是两个城市的连线，一个是对两个城市进行高亮显示。其中的type是很重要的参数，主要有饼图、条形图、线、地图等等。具体的可以去参考官网上的配置手册。
series :
[
name: 'rode',
type: 'lines',
coordinateSystem: 'geo',
data: convertData(data),
effect:
show: true,
period: 6,
trailLength: 0,
,
lineStyle:
normal:
color: '#389BB7',
width: 1,
opacity: 0.4,
curveness: 0.2
,
name: 'city',
type: 'effectScatter',
coordinateSystem: 'geo',
rippleEffect:
brushType: 'stroke'
,
label:
normal:
show: true,
position: 'right',
formatter: 'b'
,
symbolSize: 8,
itemStyle:
normal:
color: '#389BB7'
,
data: convertData1(data)
,
]
;
// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
//定义数据
var dataArray=new Array();
dataArray[0]=[name:'上海',value:'广州'];
dataArray[1]=[name:'上海',value:'北京'];
dataArray[2]=[value:'深圳'];
dataArray[3]=[name:'上海',value:'天津'];
dataArray[4]=[name:'上海',value:'唐山'];
var globalIndex=0;
//一直要执行的函数
function nocease()
//随机取1-5
data=dataArray[globalIndex%5];
globalIndex++;
var option = myChart.getOption();
if(data[0].name)
option.series[0].data = convertData(data);
option.series[1].data = convertData1(data);
else
option.series[0].data = null;
option.series[1].data = convertData1(data);
myChart.setOption(option);
setInterval("nocease()","2000");
</script>
</body>
</html>好了，代码介绍完毕，那就看一下效果图，
恩，还是挺好看的吧。
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