Echarts地图和散点图结合使用

在这里插入图片描述

<!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>地图-不同城市空气质量</title>
  <script src="./lib/echarts.js"></script>
  <script src="./lib/axios.js"></script>
</head>
<body>
  <div style="width: 600px; height: 400px;border: 1px solid lightblue;"></div>
  <script>
    var airData = [
      {
      
       name: '北京', value: 39.92 },
      {
      
       name: '天津', value: 39.13 },
      {
      
       name: '上海', value: 31.22 },
      {
      
       name: '重庆', value: 66 },
      {
      
       name: '河北', value: 147 },
      {
      
       name: '河南', value: 113 },
      {
      
       name: '云南', value: 25.04 },
      {
      
       name: '辽宁', value: 50 },
      {
      
       name: '黑龙江', value: 114 },
      {
      
       name: '湖南', value: 175 },
      {
      
       name: '安徽', value: 117 },
      {
      
       name: '山东', value: 92 },
      {
      
       name: '新疆', value: 84 },
      {
      
       name: '江苏', value: 67 },
      {
      
       name: '浙江', value: 84 },
      {
      
       name: '江西', value: 96 },
      {
      
       name: '湖北', value: 273 },
      {
      
       name: '广西', value: 59 },
      {
      
       name: '甘肃', value: 99 },
      {
      
       name: '山西', value: 39 },
      {
      
       name: '内蒙古', value: 58 },
      {
      
       name: '陕西', value: 61 },
      {
      
       name: '吉林', value: 51 },
      {
      
       name: '福建', value: 29 },
      {
      
       name: '贵州', value: 71 },
      {
      
       name: '广东', value: 38 },
      {
      
       name: '青海', value: 57 },
      {
      
       name: '西藏', value: 24 },
      {
      
       name: '四川', value: 58 },
      {
      
       name: '宁夏', value: 52 },
      {
      
       name: '海南', value: 54 },
      {
      
       name: '台湾', value: 88 },
      {
      
       name: '香港', value: 66 },
      {
      
       name: '澳门', value: 77 },
      {
      
       name: '南海诸岛', value: 55 }
    ]
    var scatterData = [
      {
      
      
        value: [117.283042, 31.86119]
      }
    ]
    var myCharts = echarts.init(document.querySelector('div'))
    
    axios.get('./json/map/china.json').then(res => {
      
      
      console.log(res.data)
      echarts.registerMap('china', res.data)
      var option = {
      
      
        geo: {
      
      
          type: 'map',
          map: 'china',
          roam: true,
          label: {
      
      
            show: true
          }
        },
        series: [
          {
      
      
            data: airData, // 空气质量数据
            geoIndex: 0, // 将空气质量数据和第0个geo配置关联在一起
            type: 'map'
          },
          {
      
      
            data: scatterData, // 配置散点的坐标数据
            type: 'effectScatter',
            coordinateSystem: 'geo', // 指定散点使用的坐标系统是geo的坐标系统
            rippleEffect: {
      
      
              scale: 10
            }
          }
        ],
        visualMap: {
      
      
          min: 0, // 最小值
          max: 300, // 最大值
          calculable: true // 控制左下角滑块
        }
      }
      myCharts.setOption(option)
    })
  </script>
</body>
</html>

在这里插入图片描述
完整代码:

<!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>地图-不同城市空气质量</title>
  <script src="./lib/echarts.js"></script>
  <script src="./lib/axios.js"></script>
</head>
<body>
  <div style="width: 600px; height: 400px;border: 1px solid lightblue;"></div>
  <script>
    var airData = [
      {
      
       name: '北京', value: 39.92 },
      {
      
       name: '天津', value: 39.13 },
      {
      
       name: '上海', value: 31.22 },
      {
      
       name: '重庆', value: 66 },
      {
      
       name: '河北', value: 147 },
      {
      
       name: '河南', value: 113 },
      {
      
       name: '云南', value: 25.04 },
      {
      
       name: '辽宁', value: 50 },
      {
      
       name: '黑龙江', value: 114 },
      {
      
       name: '湖南', value: 175 },
      {
      
       name: '安徽', value: 117 },
      {
      
       name: '山东', value: 92 },
      {
      
       name: '新疆', value: 84 },
      {
      
       name: '江苏', value: 67 },
      {
      
       name: '浙江', value: 84 },
      {
      
       name: '江西', value: 96 },
      {
      
       name: '湖北', value: 273 },
      {
      
       name: '广西', value: 59 },
      {
      
       name: '甘肃', value: 99 },
      {
      
       name: '山西', value: 39 },
      {
      
       name: '内蒙古', value: 58 },
      {
      
       name: '陕西', value: 61 },
      {
      
       name: '吉林', value: 51 },
      {
      
       name: '福建', value: 29 },
      {
      
       name: '贵州', value: 71 },
      {
      
       name: '广东', value: 38 },
      {
      
       name: '青海', value: 57 },
      {
      
       name: '西藏', value: 24 },
      {
      
       name: '四川', value: 58 },
      {
      
       name: '宁夏', value: 52 },
      {
      
       name: '海南', value: 54 },
      {
      
       name: '台湾', value: 88 },
      {
      
       name: '香港', value: 66 },
      {
      
       name: '澳门', value: 77 },
      {
      
       name: '南海诸岛', value: 55 }
    ]
    var scatterData = [
      {
      
      
        value: [117.283042, 31.86119]
      }
    ]
    var myCharts = echarts.init(document.querySelector('div'))
    
    axios.get('./json/map/china.json').then(res => {
      
      
      console.log(res.data)
      echarts.registerMap('china', res.data)
      var option = {
      
      
        geo: {
      
      
          type: 'map',
          map: 'china',
          roam: true,
          label: {
      
      
            show: true
          }
        },
        series: [
          {
      
      
            data: airData, // 空气质量数据
            geoIndex: 0, // 将空气质量数据和第0个geo配置关联在一起
            type: 'map'
          },
          {
      
      
            data: scatterData, // 配置散点的坐标数据
            type: 'effectScatter',
            coordinateSystem: 'geo', // 指定散点使用的坐标系统是geo的坐标系统
            rippleEffect: {
      
      
              scale: 10
            }
          }
        ],
        visualMap: {
      
      
          min: 0, // 最小值
          max: 300, // 最大值
          calculable: true // 控制左下角滑块
        }
      }
      myCharts.setOption(option)
    })
  </script>
</body>
</html>

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转载自blog.csdn.net/dyw3390199/article/details/120627588