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echarts-extension-amap's Issues

引入自己的key和自定义地图主题无效

大神你好,想问一下是不是只支持官方的主题色呀,我确定自己用的key可Id是对应正确的,本地也可以出来我设置的地图,但是在您这边例子里改变不了地图主题,是否与高德地图后面出的规定有关?->(自2021年12月02日升级,升级之后所申请的 key 必须配备安全密钥 jscode 一起使用),我本地需要key和密钥搭配使用,地图才会生效。您这的代码里哪里可以调用密钥吗?谢谢解答

高德地图版本判断方式有误

最新高德地图使用 v 字段标识版本,isAMap2X 函数可能存在问题,version 在多次加载时会被覆写

版本标识:
image

version 被覆写:
image

旋转 echarts 不会自动更新

旋转地图或者切换地图视角的时候,echarts其它系列的点不会自动更新。mapmove,zoom之类的可以自动更新。

地图展示ecahrt 饼图,饼图位置一直在地图左上角

地图展示ecahrt 饼图,饼图位置一直在地图左上角,代码如下:
{ id: 'stationPie' + index, center: item.coord, color: ['#5ad4cf', '#ffd258'], // 饼图每个扇形的颜色 coordinateSystem: 'amap', data: [ { name:'上车人数', value: item.up }, { name: '下车人数', value: item.down }, ], itemStyle: { normal: { borderColor: '#ffffff', borderWidth: 0.3 } }, name: item.name, radius: '24px', type: 'pie', zlevel: 5 }

请教高德地图 loca.js ContourLayer的问题

问题描述

最近的项目需要实现等值面的效果,在全局数据的时候很好的实现了效果(只是表面看起来还行),但是当区域很小,数据同一时刻变化不大的时候就出现问题了
下图为全局数据的效果
image
image
下图为局部数据效果,如果按照echarts的visualmap的逻辑,应该是有个数值范围和颜色范围的映射的,但是高德并没有让我们填写这个数据,这就导致,当时间为00:00,数据基本上都为-2时的颜色和时间为04:00,数据都为2时的颜色是一样的,我不清楚该如何解决这个问题,我把type从等值面改为等值线能够明显看出每一时刻等值线的不同。
image
image

使用定时器刷新数据后导致内存泄漏

使用echarts-extension-amap让echarts导入高德地图加geo覆盖物,设置了数据刷新会clear charts 重新setOption
下面为setOption的方法

setOptions(data, linesData, map, clear = true) {
      if (!this.chart) {
        return
      }
      const projectCoordList = data => {
        if (JSON.stringify(data) !== '{}') {
          return data.projectCoordList
            .map(({ center, name, value }) => {
              if (center) {
                center.push(value)
              }
              return { name, value: center }
            })
        }
      }
      const tenantCoordList = data => {
        if (JSON.stringify(data) !== '{}') {
          return data.tenantCoordList
            .filter(item => item.center)
            .map(({ center, name, value }) => {
              center.push(value)
              return { name, value: center }
            })
        }
      }
      const convertLinesData = data => {
        return data.linkCoordList
      }
      var maxValue
      var projectMaxValue
      if (JSON.stringify(data) !== '{}') {
        maxValue = Math.max(1, ...data.tenantCoordList.map(t => t.value))
        projectMaxValue = Math.max(1, ...data.projectCoordList.map(t => t.value))
      }
      const option = {
        backgroundColor: 'transparent',
        geo: {
          map,
          label: {
            emphasis: {
              show: false
            }
          },
          roam: true, // 是否允许缩放
          layoutCenter: ['50%', '50%'],
          layoutSize: '70%',
          itemStyle: {
            normal: {
              areaColor: 'rgba(51, 69, 89, .5)',
              borderColor: 'rgba(100, 149, 237, 1)'
            },
            emphasis: {
              areaColor: 'rgba(37, 43, 61, .5)'
            }
          }
        },
        amap: {
          center: [120.637376, 30.422934],
          resizeEnable: true,
          mapStyle: 'amap://styles/darkblue', // 地图样式白色
          // rotation: 10,
          renderOnMoving: true,
          echartsLayerInteractive: true,
          largeMode: false,
          returnMapCameraState: true,
          roam: true,
          zoom: 11, // 缩放
          viewMode: '3D' // 是否启用3d地图
          // pitch: 35, // 视角高度
          // skyColor: '#33216a'
        },
        animation: false,
        tooltip: {
          trigger: 'item',
          backgroundColor: 'rgba(12, 204, 104, 0.92)',
          borderColor: '#FFFFCC',
          showDelay: 0,
          hideDelay: 0,
          enterable: true,
          transitionDuration: 0,
          extraCssText: 'z-index:100',
          formatter: (params, ticket, callback) => {
            const name = params.name
            let value = params.value
            if (!name) {
              return ''
            }
            if (typeof value === 'object') {
              value = value[2]
            }
            if (isNaN(value)) {
              value = 0
            }
            if (value > 10000) {
              value = (value / 10000).toFixed(2)
              const res =
              "<span style='color:#fff;'>" + name + '</span><br/>数据:' + value + ' 万方'
              return res
            } else {
              value = this.formatNumber(value)
              const res =
              "<span style='color:#fff;'>" + name + '</span><br/>数据:' + value + ' 方'
              return res
            }
          }
        },
        series: [
          {
            name: 'lines1',
            type: 'lines',
            coordinateSystem: 'geo',
            zlevel: 1,
            effect: {
              show: true,
              period: 6,
              trailLength: 0.7,
              color: '#fff',
              symbolSize: 4
            },
            lineStyle: {
              normal: {
                color: '#eac736',
                width: 0,
                curveness: 0.2
              }
            },
            data: convertLinesData(data)
          },
          {
            name: 'lines2',
            type: 'lines',
            coordinateSystem: 'geo',
            zlevel: 2,
            effect: {
              show: true,
              period: 6,
              trailLength: 0,
              symbol:
                'path://M.6,1318.313v-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',
              symbolSize: 15
            },
            lineStyle: {
              normal: {
                color: '#eac736',
                width: 1,
                opacity: 0.4,
                curveness: 0.2
              }
            },
            data: convertLinesData(data)
          },
          {
            name: 'blueDot',
            type: 'scatter',
            coordinateSystem: 'geo',
            data: tenantCoordList(data),
            // data: [
            // ],
            // data: convertScatterData(data.filter(t => t.type !== 'project')),
            // 非工程显示原型(搅拌站、公司),即蓝点
            symbolSize: (val) => {
              if (maxValue > 0) {
                return Math.max(10, (val[2] * 20) / maxValue)
              }
              return 10
              // return 20
            },
            // label: {
            //   normal: {
            //     formatter: function(params) {
            //       let name = params.name
            //       let value = params.value[2]
            //       console.log('con', typeof value)
            //       let res = name + '\n' + value + ' 方'
            //       return res
            //     },
            //     position: 'right',
            //     align: 'center',
            //     show: true
            //   },
            //   emphasis: {
            //     show: true
            //   }
            // },
            itemStyle: {
              normal: {
                color: '#05C3F9'
              }
            }
          },
          {
            name: 'projectGeo',
            type: 'scatter',
            coordinateSystem: 'geo',
            data: projectCoordList(data),
            // data: convertScatterData(data.filter(t => t.type === 'project')),
            // 工程显示原型,即绿点
            symbolSize: val => {
              if (projectMaxValue > 0) {
                // return Math.max(15, (val[2] * 15) / projectMaxValue)
                return Math.max(10, (val[2] * 20) / projectMaxValue)
              }
              return 10
              // return 20
            },
            // label: {
            //   normal: {
            //     formatter: '{b}',
            //     position: 'right',
            //     show: true
            //   },
            //   emphasis: {
            //     show: true
            //   }
            // },
            itemStyle: {
              normal: {
                color: '#90EE90'
              }
            }
          }
        ]
      }
      axios
        .get('/geo-json/100000/330000/330400/330481.geoJson', { timeout: 60000 })
        .then(({ data }) => {
          const geojson = new AMap.GeoJSON({
            geoJSON: data,
            // 还可以自定义getMarker和getPolyline
            getPolygon: function(geojson, lnglats) {
            // 计算面积
              // var area = AMap.GeometryUtil.ringArea(lnglats[0])

              return new AMap.Polygon({
                path: lnglats,
                fillOpacity: 0.4,
                // fillOpacity: 1 - Math.sqrt(area / 8000000000), // 面积越大透明度越高
                strokeColor: '#008B8B',
                fillColor: '#4169FF'
              })
            }
          })
          const amap = this.chart.getModel().getComponent('amap').getAMap()
          amap.add(geojson)
          console.log('GeoJSON 数据加载完成')
        })
        .catch(error => {
          const message = parseRequestError(error)
          console.log('error', message)
        })
      console.log('clear', clear)
      if (clear) {
        this.chart.clear()
      }
      this.chart.setOption(option)
    },

坐标系现在是geo,用来和amap进行对比的,发现geo为坐标系并不会出现内存泄漏现象,使用amap才会,请问怎么解决这个问题,是否有相关api

引入后可正常使用,但经常报Cannot read property 'it' of undefined这个错,该怎么优化呢?

Uncaught TypeError: Cannot read property 'it' of undefined
at c.sD (maps?key=eb116aacb0c35f531e53497b5e69e6d0&v=1.4.4&plugin=AMap.PlaceSearch,PlaceSearch,AMap.Geolocation,Geolocation,AMap.Geocoder,Geocoder,AMap.ToolBar,ToolBar,AMap.Scale,Scale,AMap.CustomLayer,CustomLayer,AMap.Autocomplete,Autocomplete,AMap.PlaceSearch,PlaceSearch,AMap.PolyEditor,PolyEditor,AMap.CircleEditor,CircleEditor&callback=amapInitComponent:458)
at c.sD (maps?key=eb116aacb0c35f531e53497b5e69e6d0&v=1.4.4&plugin=AMap.PlaceSearch,PlaceSearch,AMap.Geolocation,Geolocation,AMap.Geocoder,Geocoder,AMap.ToolBar,ToolBar,AMap.Scale,Scale,AMap.CustomLayer,CustomLayer,AMap.Autocomplete,Autocomplete,AMap.PlaceSearch,PlaceSearch,AMap.PolyEditor,PolyEditor,AMap.CircleEditor,CircleEditor&callback=amapInitComponent:217)
at c.pc (maps?key=eb116aacb0c35f531e53497b5e69e6d0&v=1.4.4&plugin=AMap.PlaceSearch,PlaceSearch,AMap.Geolocation,Geolocation,AMap.Geocoder,Geocoder,AMap.ToolBar,ToolBar,AMap.Scale,Scale,AMap.CustomLayer,CustomLayer,AMap.Autocomplete,Autocomplete,AMap.PlaceSearch,PlaceSearch,AMap.PolyEditor,PolyEditor,AMap.CircleEditor,CircleEditor&callback=amapInitComponent:426)
at maps?key=eb116aacb0c35f531e53497b5e69e6d0&v=1.4.4&plugin=AMap.PlaceSearch,PlaceSearch,AMap.Geolocation,Geolocation,AMap.Geocoder,Geocoder,AMap.ToolBar,ToolBar,AMap.Scale,Scale,AMap.CustomLayer,CustomLayer,AMap.Autocomplete,Autocomplete,AMap.PlaceSearch,PlaceSearch,AMap.PolyEditor,PolyEditor,AMap.CircleEditor,CircleEditor&callback=amapInitComponent:72

关于速度

Amap加载地图偏慢,哪怕已经加载过,瓦片之类的在缓冲文件夹都有缓存,加载加载还是慢,请问是否有什么方法可以改进下?

示例文件里,置空 series 无法清除数据

在示例文件 index_zh_CN.html 末尾添加代码

setTimeout(function() {
    const opts = echarts.util.clone(option)
    opts.series = []
    chart.setOption(opts);
}, 3000)

无法清除地图上的点(echarts 官网中使用 bmap 是可以的)
只能通过

setTimeout(function() {
    const opts = echarts.util.clone(option)
    opts.series.forEach(s => {
        s.data = []
    })
    chart.setOption(opts);
}, 3000)

方式清除,这应该是一个 BUG

高德地图Marker对象的事件无法触发。

echarts: v5.1.2
echarts-extension-amap: v1.10.0
AMap:v1.4.15

正常使用高德地图时,Marker实例绘制的DOM节点,层级高于图层,可以在浏览器中被检查器直接选中。使用echarts结合地图使用时,Maker实例的DOM节点被覆盖导致事件无法触发。

ionic项目,使用prod,release打包ios后报错getComponent("amap") undefined

使用版本: "echarts-extension-amap": "^1.9.1",
报错:
image
在localstorage中查看发现只加载了一部分
image

使用:
image

image

amap、echarts对象都可以获取的到,但是在setOption之后仍然获取amapComponent失败
在debug打包/safari调试时地图都可以正常显示

麻烦您帮忙看一下,实在是没有思路如何解决了🙏

在getmodel的componentMap中发现报了严格模式相关的错误,不知道是否是这个引起的问题
image

清空绘图实例时,提示Cannot read property 'getAMap'

下面是我对js文件的导入:

<script type="text/javascript" src="https://webapi.amap.com/maps?v=1.4.15&key=****"></script>
<!-- 引入 ECharts -->
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/[email protected]/dist/echarts.min.js"></script>
<!-- 引入ECharts黑色风格-->
<script type="text/javascript" src="js/dark.js"></script>
<!-- 引入高德地图扩展 -->
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/[email protected]/dist/echarts-extension-amap.min.js"></script>

下面是我程序中的相关调用:

    // 展示确诊视图
    function showConfirm(){
        alert("showConfirm");
        console.log(confirmOption);
        myChart.clear();
        myChart.setOption(confirmOption);
    }
    // 展示lagging视图
    function showLagging(){
        alert("show lagging");
        console.log(laggingOption);
        myChart.clear();
        myChart.setOption(laggingOption);
    }

下图是我浏览器端报的错误:
image

数据量稍大,地图平移就不起作用,卡

vue3.0 + echarts5.0 + 高德v2.0

  1. 当effectScatter data数据量较少时,地图移动缩放都没问题,当数据量稍微大一点移动就不起作用。
  2. 尝试将高德api换成v1.4.15版本后就没有这个问题

有匹配高德API 2.0的计划吗?

看示例都是匹配高德API 1.4.15,有匹配高德API2.0的计划吗?据说2.0改进还是比较大的。
直接引用试过,原来1.4.15正常的句子,2.0就出错了。
例如var opts={subdistrict:0,extensions:'base',level:'city'};var district=new AMap.DistrictSearch(opts);
这句在2.0下报错:对象不支持assign属性或方法
1.4.15正常,不通过这个模块直接使用高德API也正常

如何地图之上创建一个geojson的地图轮廓

如何地图之上创建一个geojson的地图轮廓。我尝试性的在echart的option配置添加了 series: [
{
name: 'PM2.5',
type: "map",
mapType: 'SHAOWU', // 自定义扩展图表类型
// 使用高德地图坐标系
coordinateSystem: "amap",
}
SHAOWU是我自定义的县市的地图,发现无法生效,是不支持吗?
https://github.com/zhengquan45/shaowu

补充:我发现这个插件是建立在geo基础上的 也就是说geo这种地图坐标系所支持的图标绘制好像只有热力 气泡 散点 线型这四种 其他则无法支持,是这样吗

地图样式设置无法生效,无法更改地图的样式

运行项目中examples\index.html文件。
发现修改mapStyle无法生效。
运行截图:
样式本应为黑色,但实际却是白色。
image

代码源文件:

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <meta name="renderer" content="webkit">
  <meta http-equiv="cleartype" content="on">
  <meta http-equiv="x-dns-prefetch-control" content="on">
  <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
  <link rel="dns-prefetch" href="https://webapi.amap.com">
  <link rel="dns-prefetch" href="https://restapi.amap.com">
  <link rel="dns-prefetch" href="https://vdata.amap.com">
  <link rel="dns-prefetch" href="https://vdata01.amap.com">
  <link rel="dns-prefetch" href="https://vdata02.amap.com">
  <link rel="dns-prefetch" href="https://vdata03.amap.com">
  <link rel="dns-prefetch" href="https://vdata04.amap.com">
  <link rel="dns-prefetch" href="https://sdf.amap.com">
  <link rel="dns-prefetch" href="https://wprd01.is.autonavi.com">
  <link rel="dns-prefetch" href="https://wprd02.is.autonavi.com">
  <link rel="dns-prefetch" href="https://wprd03.is.autonavi.com">
  <link rel="dns-prefetch" href="https://wprd04.is.autonavi.com">
  <link rel="dns-prefetch" href="https://webst01.is.autonavi.com">
  <link rel="dns-prefetch" href="https://webst02.is.autonavi.com">
  <link rel="dns-prefetch" href="https://webst03.is.autonavi.com">
  <link rel="dns-prefetch" href="https://webst04.is.autonavi.com">
  <title>an example for echarts-extension-amap</title>
  <!-- please replace {ak} with your ak & customize your plugins -->
  <script type="text/javascript" src="https://webapi.amap.com/maps?v=1.4.15&key={ak}&plugin=AMap.Scale,AMap.ToolBar"></script>
  <!-- ECharts CDN -->
  <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/[email protected]/dist/echarts.min.js"></script>
  <!-- echarts amap extension -->
  <!-- <script type="text/javascript" src="../dist/echarts-extension-amap.min.js"></script> -->
  <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/[email protected]/dist/echarts-extension-amap.min.js"></script>
  <style type="text/css">
    * {
      margin: 0;
      padding: 0;
    }
    html, body, #echarts-amap {
      width: 100%;
      height: 100%;
      overflow: hidden;
    }
  </style>
</head>
<body>
  <div id="echarts-amap"></div>
  <!-- data comes from Baidu Map, just for example -->
  <script type="text/javascript">
    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;
    };

    var option = {
      // amap component option
      amap: {
        // enable 3D mode
        // Note that it's suggested to enable 3D mode to improve echarts rendering.
        viewMode: '3D',
        // initial options of AMap
        // See https://lbs.amap.com/api/javascript-api/reference/map#MapOption for details
        // initial map center [lng, lat]
        center: [108.39, 39.9],
        // initial map zoom
        zoom: 4,
        // whether the map and echarts automatically handles browser window resize to update itself.
        resizeEnable: true,
        // customized map style, see https://lbs.amap.com/dev/mapstyle/index for details
        mapStyle: "amap://styles/dark",
        // whether echarts layer should be rendered when the map is moving. Default is true.
        // if false, it will only be re-rendered after the map `moveend`.
        // It's better to set this option to false if data is large.
        renderOnMoving: true,
        // the zIndex of echarts layer for AMap, default value is 2000.
        echartsLayerZIndex: 2019
        // Note: Please DO NOT use the initial option `layers` to add Satellite/RoadNet/Other layers now.
        // There are some bugs about it, we can use `amap.add` instead.
        // Refer to the codes at the bottom.

        // More initial options...
      },
      tooltip : {
        trigger: 'item'
      },
      animation: true,
      series: [
        {
          name: 'PM2.5',
          type: "scatter",
          // use `amap` as the coordinate system
          coordinateSystem: "amap",
          // data items [[lng, lat, value], [lng, lat, value], ...]
          data: convertData(data),
          symbolSize: function (val) {
            return val[2] / 10;
          },
          encode: {
            value: 2
          },
          label: {
            formatter: '{b}',
            position: 'right',
            show: false
          },
          itemStyle: {
            normal: {
              color: '#00c1de'
            }
          },
          emphasis: {
            label: {
              show: true
            }
          }
        },
        {
          name: 'Top 5',
          type: 'effectScatter',
          coordinateSystem: 'amap',
          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: {
            color: '#fff',
            shadowBlur: 10,
            shadowColor: '#333'
          },
          zlevel: 1
        }
      ]
    };
    // initialize echart
    var chart = echarts.init(document.getElementById("echarts-amap"));
    chart.setOption(option);
    // get amap instance
    var amap = chart.getModel().getComponent("amap").getAMap();
    // operations below are the same as amap
    amap.addControl(new AMap.Scale());
    amap.addControl(new AMap.ToolBar());
    // add layers
    // var satelliteLayer = new AMap.TileLayer.Satellite();
    // var roadNetLayer = new AMap.TileLayer.RoadNet();
    // amap.add([satelliteLayer, roadNetLayer]);
  </script>
</body>
</html>

有vue的例子吗

现在这个插件能在vue下运行吗?我看例子是普通html的

如何跟随地图重绘?

image

如图 在拖动过程中做了防抖处理 当拖动未结束就不重新渲染 但这个效果不怎么好看啊

在 echarts-amap 中实现了

var layer = echart
.getModel()
.getComponent('amap')
.getLayer()
layer.render = function() {
echart.setOption({ series })
}
监听图层的渲染 使echarts跟随其渲染,

关于监听缩放移动事件

geobmap下可以使用事件georoambmaproam来监听地图缩放与拖拽移动事件下的参数,但是我试了amaproam只返回了这些信息:
image

是目前还没有针对更多参数监听例如缩放级别进行开发吗

高德地图图层全屏遮挡原有组件

问题描述

按道理给个容器,地图就在容器里绘制,但是不知道为啥,地图直接充满全屏了,把header还有按钮文字都遮挡了

组件代码

<template>
    <div class="siteInfo">
        <el-container>
            <el-main>
                <el-card class="box-card">
                    <div slot="header" class="clearfix">
                        <span style="float: left"> <b>整体区域</b></span>
                        <el-image :src="colors">
                        </el-image>
                        <el-button @click="back">返回</el-button>
                    </div>
                    <div style="width: 100%;height:1000px;">
                        <!-- ECharts 地图容器 -->
                        <div id="echarts-amap" style="width: 100%;height: 100%;"></div>
                    </div>
                </el-card>
            </el-main>
        </el-container>
    </div>
</template>

显示效果

image

20万数据负载缩放慢

大规模Echarts中的webgl数据散点缩放时地图更新视野特别卡,是为什么?作者设计view的时候有没有遇到过这个问题或者考虑到,还是我哪里设置错误?数据级别会达到60万

关于地图初次载入时的背景色

大佬你好,我想咨询一下在地图初次载入时,会有一个灰白色的背景闪一下就会刷掉,但是对应暗色地图时观感不太好:
image
载入后是这样的:
image

请问这个背景色有没有办法进行修改,我翻了高德地图的文档暂时没有收获😔

vue项目打包后丢失地图

我在vue-cli3项目本地编译可以加载地图,但打包后地图不能加载,跟我在本地注释调echarts-extension-amap的效果一样,呈现空白

切换按钮页面丢失

我设置了三个按钮,对应三个地图组件,默认加载第一个地图组件,当我第一次切换按钮时,加载对应的地图组件,当我再次点击第一个按钮时,就不加载地图组件了,地图组件没有了,丢失了,请问是什么原因。

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