vue echarts实现地图

这篇文章主要是说明怎么实现vue+echarts实现地图的,一些基础的API建议去查阅echarts官方文档,这里主要说明怎么获取地图数据并应用数据生成地图,实现一些常见的交互操作

echarts常见配置项

官网:https://echarts.apache.org/zh/index.html

  • 如果是options中的一些基础配置项,直接查阅官网-文档-配置项
  • 如果是事件events和action,查阅官网-文档-API

地图geoJson下载地址

map类型地图

<template>
  <div ref="mapEcharts" class="map-echart">
  </div>
</template>

<script>
import echarts from 'echarts'
import axios from 'axios'

export default {
  name: "Map",
  data() {
    return {
      timer: null,
      seriesData: [
        {name: '天津市', value: 20057.34},
        {name: '北京市', value: 15477.48},
        {name: '上海市', value: 31686.1},
        {name: '河北省', value: 6992.6},
        {name: '山东省', value: 44045.49}
      ],
      map: null
    }
    
  },
  created() {
    
  },
  methods: {
    initEcharts() {
      // 获取地图数据
      axios.get('/china.json').then(res => {
         // 使用数据注册地图
         echarts.registerMap('china', res.data)
          this.$nextTick(() => {
            // 初始化地图
            this.map = echarts.init(this.$refs['mapEcharts'])
            // 设置基础配置项
            const option = {
              // 标题
              title: {
                text:"中国地图",
                left: 'center',
                subtext: "下载链接",
                sublink: "http://datav.aliyun.com/tools/atlas/#&lat=30.772340792178525&lng=103.94573258937584&zoom=9.5"
              },
              // 悬浮窗
              tooltip: {
                trigger: 'item',
                formatter: function(params) {
                  console.log(2222, params);
                  return `${params.name}: ${params.value || 0}`

                }
              },
              // 图例
              visualMap: {
                min: 800,
                max: 50000,
                text: ['High', 'Low'],
                realtime: false,
                calculable: true,
                inRange: {
                    color: ['lightskyblue', 'yellow', 'orangered']
                }
              },
              // 要显示的散点数据
              series: [
                {
                  type: 'map',
                  map: 'china',
                  // 这是要显示的数据
                  data: this.seriesData,
                  // 自定义命名映射,不设置的话,label默认是使用 geoJson中的name名
                  nameMap: {
                    '北京市': "北京重命名",
                    "天津市": '天津重命名'
                  },
                },
                
              ]
            }
            // 将配置应用到地图上
            this.map.setOption(option)
            // 设置定时器,自动循环触发tooltip悬浮窗事件
            this.setTimer()
            let that = this;
            // 当鼠标在地图上时,停止自动tooltip事件
            this.map.on('mouseover', {series: 0,}, function(params) {
              that.clearTimer()
            })
            // 当鼠标移出地图后,再自动tooltip
            this.map.on('mouseout', {series: 0}, function(params) {
              that.setTimer()
            })
          })
      })
    },
    setTimer() {
      // 当前选中区域的下标
      let curIndex = -1;
      this.timer && clearInterval(this.timer)
      this.timer = setInterval(() => {
        const len = this.seriesData.length;
        // dispatchAction是主动去触发echarts事件,取消高亮当前的数据图形
        this.map.dispatchAction({
          type: 'downplay',
          seriesIndex: 0,
          dataIndex: curIndex
        })
        // 下一个选中区域的下标
        curIndex = (curIndex + 1) % len;
        // 高亮下一个数据图形
        this.map.dispatchAction({
          type: 'highlight',
          seriesIndex: 0,
          dataIndex: curIndex
        })
        // 显示tooltip
        this.map.dispatchAction({
          type: 'showTip',
          seriesIndex:0,
          dataIndex: curIndex
        })
      }, 1000)
    },
    clearTimer() {
      this.timer && clearInterval(this.timer)
    }
  },
  mounted() {
    this.initEcharts()
  },
  beforeDestroy() {
    this.clearTimer()
  }
}
</script>

<style>
.map-echart {
  height: 900px;
  width: 900px;
}
</style>

geo类型地图

geo类型其实和map差不多,区别在于它可以绘制散点和线集,还支持轨迹动画

<template>
  <div ref="mapEcharts" class="map-echart">
  </div>
</template>

<script>
import echarts from 'echarts'
import axios from 'axios'
import { color } from 'echarts'

export default {
  name: "Geomap",
  created() {
    
  },
  methods: {
    initEcharts() {
      axios.get('/china.json').then(res => {
         echarts.registerMap('china', res.data)
          this.$nextTick(() => {
            const map = echarts.init(this.$refs['mapEcharts'], null, {renderer:'svg'})
            const option = {
              title: {
                text:"中国地图",
                left: 'center',
                subtext: "下载链接",
                sublink: "http://datav.aliyun.com/tools/atlas/#&lat=30.772340792178525&lng=103.94573258937584&zoom=9.5"
              },
              // 悬浮窗
              tooltip: {
                trigger: 'item',
                formatter: function(params) {
                  console.log(2222, params);
                  return `${params.name}: ${params.value || 0}`

                }
              },
              // 图例
              visualMap: {
                min: 800,
                max: 50000,
                text: ['High', 'Low'],
                realtime: false,
                calculable: true,
                inRange: {
                    color: ['lightskyblue', 'yellow', 'orangered']
                }
              },
              geo: {
                map: 'china',
                zoom: 1,
                roam: 'move',
                nameMap: {
                  '新疆维吾尔自治区': "新疆",
                  "西藏自治区": '西藏',
                  "甘肃省": "甘肃",
                  "宁夏回族自治区": "宁夏",
                  "广西壮族自治区": "广西",
                  "内蒙古自治区": "内蒙古",
                  "香港特别行政区": "香港",
                  "澳门特别行政区": "澳门"
                },
                label: {
                  show: true,
                  color: 'black',
                  position: "inside",
                  distance: 0,
                  fontSize: 10,
                  rotate:45
                },
                // 所有地图的区域颜色
                itemStyle: {
                  areaColor: 'rgba(0,60,153,0.8)',
                  borderColor: '#02c0ff'
                },
                emphasis: {
                  itemStyle: {
                    areaColor: 'rgba(0,60,153,0.5)',
                    shadowColor: 'rgba(0,0,0,0.8)',
                    shadowBlur: 5,
                    shadowOffsetY: 5
                  }
                },
                // 针对某些区域做一些特别的样式
                // regions: [{
                //   name: '广东省',
                //   itemStyle: {
                //     areaColor: 'yellow',
                //     color: 'black',
                //     borderColor: 'pink'
                //   }
                // }]
              },  
              // 数据
              series: [
                {
                  type: 'scatter',
                  coordinateSystem: 'geo',
                  data: [
                    {name: '人数', value:[121.15, 31.89, 9]}, // 值为,经纬度,数据
                    {name: '北京市', value: [111, 31.89, 15477]},
                    {name: '上海市', value: [100.15, 31.89, 31686]},
                    {name: '河北省', value: [121.15, 29.89, 6992]},
                    {name: '山东省', value: [105.15, 30.89, 44045]}
                  ],
                  SymbolSize: 4
                },
                {
                  type: 'lines',
                  coordinateSystem: 'geo',
                  data: [
                    {coords: [[121.15,38], [111, 31.89], [100.15, 31.89],[121.15, 29.89], [105.15, 30.89]]}
                  ],
                  polyline: true, // 是否是多段线
                  lineStyle: {
                    color: {
                      type: 'radial',
                      x: 0.5,
                      y: 0.5,
                      r: 0.5,
                      colorStops: [{
                          offset: 0, color: 'red' // 0% 处的颜色
                      }, {
                          offset: 1, color: 'blue' // 100% 处的颜色
                      }],
                      global: false, // 缺省为 false
                      shadowColor: 'rgba(0, 0, 0, 0.5)',
                      shadowBlur: 10,
                      curveness: 1
                    },
                    opacity: 0.3,
                    width: 2,
                  },
                  // 线特效的配置
                  effect: {
                    show: true,
                    period: 5, // 特效动画的时间,单位为 s
                    trailLength: 1, //特效尾迹长度[0,1]值越大,尾迹越长重
                    symbol: 'image://' + require('@/echartsMap/money.png'), // 自定义动画图标
                    symbolSize: 15, //图标大小
                    color:"red"
                  }
                }
                
              ]
            }
            map.setOption(option)
          })
      })
    }
  },
  mounted() {
    this.initEcharts()
  }
}
</script>

<style>
.map-echart {
  height: 600px;
  width: 900px;
}
</style>

  • 报错:"export 'default' (imported as 'echarts') was not found in 'echarts'
    原因:echarts v5版本不再是用默认导出的方式,所以import echarts from 'echarts'方式报错
    解决:npm unstaill echats npm install echarts@4.9.0
    或者:使用5版本的写法-- import * as echarts from 'echarts';

  • TypeError: coordSys.getBaseAxis is not a function
    series中的type写错了,把lines写成了line,改过来就好

百度地图

官网:http://lbsyun.baidu.com/

开发文档-web开发-javascript开发:

入门指南:

  1. 注册百度账号-登录
  2. 申请成为百度开发者
  3. 获取密钥:应用名称(任意取),应用类型:浏览器端,白名单:*,提交即可
  4. 复制AK

查看hello world: 引用百度API的方法,直接在html中单独使用百度地图:

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta http-equiv="X-UA-Compatible" content="IE=edge">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>百度地图使用</title>
  <style type="text/css">  
    html{height:100%}    
    body{height:100%;margin:0px;padding:0px}    
    #container{height:100%}    
  </style>
  <script type="text/javascript" src="https://api.map.baidu.com/api?v=1.0&&type=webgl&ak=你的AK"></script>
 
</head>
<body>
  <div id="container"></div>
  <script>
    var map = new BMapGL.Map("container");

    // 设置中心点坐标(天安门)和缩放级别
    var point = new BMapGL.Point(116.404, 39.915);
    map.centerAndZoom(point, 15); 

    var marker = new BMapGL.Marker(point);        // 创建标注   
    map.addOverlay(marker);                     // 将标注添加到地图中

    var content = "天安门标注";
    var label = new BMapGL.Label(content, {       // 创建文本标注
        position: point,                          // 设置标注的地理位置
        // offset: new BMapGL.Size(10, 20)           // 设置标注的偏移量
    })  
    map.addOverlay(label); 

    // 绘制折线
    var polyline = new BMapGL.Polyline([
      new BMapGL.Point(116.399, 39.910),
      new BMapGL.Point(116.405, 39.920),
      new BMapGL.Point(116.425, 39.900)
    ], {strokeColor:"red", strokeWeight:5, strokeOpacity:0.5});
    map.addOverlay(polyline);

    // 开启鼠标滚轮缩放
    map.enableScrollWheelZoom(true); 

    var zoomCtrl = new BMapGL.ZoomControl();  // 添加缩放控件
    map.addControl(zoomCtrl);

    var cityCtrl = new BMapGL.CityListControl();  // 添加城市列表控件
    map.addControl(cityCtrl);

    // 个性化地图:http://lbsyun.baidu.com/index.php?title=jspopularGL/guide/custom
    map.setMapStyleV2({     
      styleId: 'a9cc36afacf72b07b78431d80900aa66'
    });
  </script>
</body>
</html>

在echarts中引用百度地图

参考:https://blog.csdn.net/yiyueqinghui/article/details/106424482
https://blog.csdn.net/Fimooo/article/details/102948186?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-2.nonecase&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-2.nonecase

// getBMapApi.js
export function loadBMap(ak) {
  return new Promise(function(resolve, reject) {
      if (typeof BMap !== 'undefined') {
          resolve(BMap)
          return true
      }
      window.onBMapCallback = function() {
          resolve(BMap)
      }
      let script = document.createElement('script')
      script.type = 'text/javascript'
      script.src =
          'http://api.map.baidu.com/api?v=2.0&ak='+ ak +'&__ec_v__=20190126&callback=onBMapCallback'
      script.onerror = reject
      document.head.appendChild(script)
  })
}
<template>
  <div ref="mapEcharts" class="baidu-map-echart">
  </div>
</template>

<script>
import echarts from 'echarts'
require("echarts/extension/bmap/bmap"); // bmap用来处理百度地图 
import {loadBMap} from './getBmap'
// 官网--个性化地图编辑--地图模板--选择一个,下载样式文件,保存到本地
const CUSTOM_MAP_CONFIG = require("./custom_map_config.json");   
console.log(CUSTOM_MAP_CONFIG);
export default {
  name: "BaiduMap",
  data() {
    return {
      
      
    }
  },
  created() {
    
  },
  methods: {
    initEcharts() {
      let myMap = echarts.init(this.$refs['mapEcharts'])
      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;
      };
      const option = {
        title: {
          text: "百度地图示例"
        },
        // 使用echarts配置地图
        bmap:{
          center: [104.114129, 37.550339],
          zoom: 5,
          roam: true,  // scale允许缩放,move允许移动,true允许两者
          mapStyle: {
            styleJson: CUSTOM_MAP_CONFIG          // 应用个性化地图样式,不生效???
          }
        },
        series : [
          {
              name: 'pm2.5',
              type: 'scatter',
              coordinateSystem: 'bmap',
              data: convertData(data),
              symbolSize: function (val) {
                  return val[2] / 10;
              },
              encode: {
                  value: 2
              },
              label: {
                  formatter: '{b}',
                  position: 'right',
                  show: false
              },
              emphasis: {
                  label: {
                      show: true
                  }
              }
          },
          {
              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;
              },
              encode: {
                  value: 2
              },
              showEffectOn: 'render',
              rippleEffect: {
                  brushType: 'stroke'
              },
              hoverAnimation: true,
              label: {
                  formatter: '{b}',
                  position: 'right',
                  show: true
              },
              itemStyle: {
                  shadowBlur: 10,
                  shadowColor: '#333'
              },
              zlevel: 1
          }
        ]
      }
      myMap.setOption(option)
      // 使用百度api来配置
      // var bmap = myMap.getModel().getComponent('bmap').getBMap();
      // bmap.setMapStyleV2({     
      //   styleId: 'a9cc36afacf72b07b78431d80900aa66'
      // });
          // 设置中心点坐标(天安门)和缩放级别
      // var point = new BMapGL.Point(116.404, 39.915);
      // bmap.centerAndZoom(point, 15); 

      // var marker = new BMapGL.Marker(point);        // 创建标注   
      // bmap.addOverlay(marker);        

    }
  },
  mounted() {
    loadBMap('你的AK').then(() => {
      this.initEcharts();
    })
  }
}
</script>

<style scoped>
.baidu-map-echart {
  height: 600px;
  width: 900px;
}
</style>

  1. BMap api is not loaded
    原因:在mounted初始化地图的时候,因为异步问题会导致BMap is not defined,也就是百度的api还没完全引入或者加载完成,就已经进行地图初始化了
    参考:https://www.cnblogs.com/menxiaojin/p/13613607.html
  1. 设置mapStyle个性化样式不生效:待解决
©著作权归作者所有,转载或内容合作请联系作者
平台声明:文章内容(如有图片或视频亦包括在内)由作者上传并发布,文章内容仅代表作者本人观点,简书系信息发布平台,仅提供信息存储服务。
  • 序言:七十年代末,一起剥皮案震惊了整个滨河市,随后出现的几起案子,更是在滨河造成了极大的恐慌,老刑警刘岩,带你破解...
    沈念sama阅读 230,578评论 6 544
  • 序言:滨河连续发生了三起死亡事件,死亡现场离奇诡异,居然都是意外死亡,警方通过查阅死者的电脑和手机,发现死者居然都...
    沈念sama阅读 99,701评论 3 429
  • 文/潘晓璐 我一进店门,熙熙楼的掌柜王于贵愁眉苦脸地迎上来,“玉大人,你说我怎么就摊上这事。” “怎么了?”我有些...
    开封第一讲书人阅读 178,691评论 0 383
  • 文/不坏的土叔 我叫张陵,是天一观的道长。 经常有香客问我,道长,这世上最难降的妖魔是什么? 我笑而不...
    开封第一讲书人阅读 63,974评论 1 318
  • 正文 为了忘掉前任,我火速办了婚礼,结果婚礼上,老公的妹妹穿的比我还像新娘。我一直安慰自己,他们只是感情好,可当我...
    茶点故事阅读 72,694评论 6 413
  • 文/花漫 我一把揭开白布。 她就那样静静地躺着,像睡着了一般。 火红的嫁衣衬着肌肤如雪。 梳的纹丝不乱的头发上,一...
    开封第一讲书人阅读 56,026评论 1 329
  • 那天,我揣着相机与录音,去河边找鬼。 笑死,一个胖子当着我的面吹牛,可吹牛的内容都是我干的。 我是一名探鬼主播,决...
    沈念sama阅读 44,015评论 3 450
  • 文/苍兰香墨 我猛地睁开眼,长吁一口气:“原来是场噩梦啊……” “哼!你这毒妇竟也来了?” 一声冷哼从身侧响起,我...
    开封第一讲书人阅读 43,193评论 0 290
  • 序言:老挝万荣一对情侣失踪,失踪者是张志新(化名)和其女友刘颖,没想到半个月后,有当地人在树林里发现了一具尸体,经...
    沈念sama阅读 49,719评论 1 336
  • 正文 独居荒郊野岭守林人离奇死亡,尸身上长有42处带血的脓包…… 初始之章·张勋 以下内容为张勋视角 年9月15日...
    茶点故事阅读 41,442评论 3 360
  • 正文 我和宋清朗相恋三年,在试婚纱的时候发现自己被绿了。 大学时的朋友给我发了我未婚夫和他白月光在一起吃饭的照片。...
    茶点故事阅读 43,668评论 1 374
  • 序言:一个原本活蹦乱跳的男人离奇死亡,死状恐怖,灵堂内的尸体忽然破棺而出,到底是诈尸还是另有隐情,我是刑警宁泽,带...
    沈念sama阅读 39,151评论 5 365
  • 正文 年R本政府宣布,位于F岛的核电站,受9级特大地震影响,放射性物质发生泄漏。R本人自食恶果不足惜,却给世界环境...
    茶点故事阅读 44,846评论 3 351
  • 文/蒙蒙 一、第九天 我趴在偏房一处隐蔽的房顶上张望。 院中可真热闹,春花似锦、人声如沸。这庄子的主人今日做“春日...
    开封第一讲书人阅读 35,255评论 0 28
  • 文/苍兰香墨 我抬头看了看天上的太阳。三九已至,却和暖如春,着一层夹袄步出监牢的瞬间,已是汗流浃背。 一阵脚步声响...
    开封第一讲书人阅读 36,592评论 1 295
  • 我被黑心中介骗来泰国打工, 没想到刚下飞机就差点儿被人妖公主榨干…… 1. 我叫王不留,地道东北人。 一个月前我还...
    沈念sama阅读 52,394评论 3 400
  • 正文 我出身青楼,却偏偏与公主长得像,于是被迫代替她去往敌国和亲。 传闻我的和亲对象是个残疾皇子,可洞房花烛夜当晚...
    茶点故事阅读 48,635评论 2 380

推荐阅读更多精彩内容