ICode9

精准搜索请尝试: 精确搜索
首页 > 其他分享> 文章详细

openlayers6结合echarts4实现迁徙图

2021-07-28 20:00:38  阅读:202  来源: 互联网

标签:name openlayers6 color value var echarts4 item 迁徙 dataItem


<!DOCTYPE html>
<html>

<head>
  <title>openlayers6结合echarts4实现迁徙图</title>
  <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/openlayers/openlayers.github.io@master/en/v6.3.1/css/ol.css"
    type="text/css">
  <script src="https://cdn.jsdelivr.net/gh/openlayers/openlayers.github.io@master/en/v6.3.1/build/ol.js"></script>
  <script src="https://cdn.jsdelivr.net/npm/echarts/dist/echarts.js"></script>
  <script src="js/ol-echarts.js"></script>
  <!-- ol-echarts.js文件可npm下载 -->
  <!-- 参考地址:https://www.npmjs.com/package/ol-echarts/v/1.3.6 -->
  <!-- 文章来源:https://www.cnblogs.com/giserhome/archive/2020/07/26/13379672.html -->
  <style>
    html,
    body,
    #map {
      height: 100%;
      margin: 0;
      padding: 0;
    }
  </style>
</head>

<body>
  <div id="map"></div>
  <script>
    /**
          * 地图创建初始化
          */
    var map = new ol.Map({
      target: 'map',
      layers: [
        new ol.layer.Tile({
          source: new ol.source.XYZ({
            url: 'http://cache1.arcgisonline.cn/arcgis/rest/services/ChinaOnline' +
              'StreetPurplishBlue/MapServer/tile/{z}/{y}/{x}'
          })
        })
      ],
      view: new ol.View({
        center: [116.55406673632812, 39.94828066015626],
        projection: 'EPSG:4326',
        zoom: 5
      })
    });

    //迁徙图图层初始化
    var echartslayer = new EChartsLayer(getOption());
    echartslayer.appendTo(map)
    function getOption() {
      var geoCoordMap = {
        '上海': [121.4648, 31.2891],
        '东莞': [113.8953, 22.901],
        '东营': [118.7073, 37.5513],
        '中山': [113.4229, 22.478],
        '临汾': [111.4783, 36.1615],
        '临沂': [118.3118, 35.2936],
        '丹东': [124.541, 40.4242],
        '丽水': [119.5642, 28.1854],
        '乌鲁木齐': [87.9236, 43.5883],
        '佛山': [112.8955, 23.1097],
        '保定': [115.0488, 39.0948],
        '兰州': [103.5901, 36.3043],
        '包头': [110.3467, 41.4899],
        '北京': [116.4551, 40.2539],
        '北海': [109.314, 21.6211],
        '南京': [118.8062, 31.9208],
        '南宁': [108.479, 23.1152],
        '南昌': [116.0046, 28.6633],
        '南通': [121.1023, 32.1625],
        '厦门': [118.1689, 24.6478],
        '台州': [121.1353, 28.6688],
        '合肥': [117.29, 32.0581],
        '呼和浩特': [111.4124, 40.4901],
        '咸阳': [108.4131, 34.8706],
        '哈尔滨': [127.9688, 45.368],
        '唐山': [118.4766, 39.6826],
        '嘉兴': [120.9155, 30.6354],
        '大同': [113.7854, 39.8035],
        '大连': [122.2229, 39.4409],
        '天津': [117.4219, 39.4189],
        '太原': [112.3352, 37.9413],
        '威海': [121.9482, 37.1393],
        '宁波': [121.5967, 29.6466],
        '宝鸡': [107.1826, 34.3433],
        '宿迁': [118.5535, 33.7775],
        '常州': [119.4543, 31.5582],
        '广州': [113.5107, 23.2196],
        '廊坊': [116.521, 39.0509],
        '延安': [109.1052, 36.4252],
        '张家口': [115.1477, 40.8527],
        '徐州': [117.5208, 34.3268],
        '德州': [116.6858, 37.2107],
        '惠州': [114.6204, 23.1647],
        '成都': [103.9526, 30.7617],
        '扬州': [119.4653, 32.8162],
        '承德': [117.5757, 41.4075],
        '拉萨': [91.1865, 30.1465],
        '无锡': [120.3442, 31.5527],
        '日照': [119.2786, 35.5023],
        '昆明': [102.9199, 25.4663],
        '杭州': [119.5313, 29.8773],
        '枣庄': [117.323, 34.8926],
        '柳州': [109.3799, 24.9774],
        '株洲': [113.5327, 27.0319],
        '武汉': [114.3896, 30.6628],
        '汕头': [117.1692, 23.3405],
        '江门': [112.6318, 22.1484],
        '沈阳': [123.1238, 42.1216],
        '沧州': [116.8286, 38.2104],
        '河源': [114.917, 23.9722],
        '泉州': [118.3228, 25.1147],
        '泰安': [117.0264, 36.0516],
        '泰州': [120.0586, 32.5525],
        '济南': [117.1582, 36.8701],
        '济宁': [116.8286, 35.3375],
        '海口': [110.3893, 19.8516],
        '淄博': [118.0371, 36.6064],
        '淮安': [118.927, 33.4039],
        '深圳': [114.5435, 22.5439],
        '清远': [112.9175, 24.3292],
        '温州': [120.498, 27.8119],
        '渭南': [109.7864, 35.0299],
        '湖州': [119.8608, 30.7782],
        '湘潭': [112.5439, 27.7075],
        '滨州': [117.8174, 37.4963],
        '潍坊': [119.0918, 36.524],
        '烟台': [120.7397, 37.5128],
        '玉溪': [101.9312, 23.8898],
        '珠海': [113.7305, 22.1155],
        '盐城': [120.2234, 33.5577],
        '盘锦': [121.9482, 41.0449],
        '石家庄': [114.4995, 38.1006],
        '福州': [119.4543, 25.9222],
        '秦皇岛': [119.2126, 40.0232],
        '绍兴': [120.564, 29.7565],
        '聊城': [115.9167, 36.4032],
        '肇庆': [112.1265, 23.5822],
        '舟山': [122.2559, 30.2234],
        '苏州': [120.6519, 31.3989],
        '莱芜': [117.6526, 36.2714],
        '菏泽': [115.6201, 35.2057],
        '营口': [122.4316, 40.4297],
        '葫芦岛': [120.1575, 40.578],
        '衡水': [115.8838, 37.7161],
        '衢州': [118.6853, 28.8666],
        '西宁': [101.4038, 36.8207],
        '西安': [109.1162, 34.2004],
        '贵阳': [106.6992, 26.7682],
        '连云港': [119.1248, 34.552],
        '邢台': [114.8071, 37.2821],
        '邯郸': [114.4775, 36.535],
        '郑州': [113.4668, 34.6234],
        '鄂尔多斯': [108.9734, 39.2487],
        '重庆': [107.7539, 30.1904],
        '金华': [120.0037, 29.1028],
        '铜川': [109.0393, 35.1947],
        '银川': [106.3586, 38.1775],
        '镇江': [119.4763, 31.9702],
        '长春': [125.8154, 44.2584],
        '长沙': [113.0823, 28.2568],
        '长治': [112.8625, 36.4746],
        '阳泉': [113.4778, 38.0951],
        '青岛': [120.4651, 36.3373],
        '韶关': [113.7964, 24.7028]
      };
      var BJData = [
        [{ name: '北京' }, { name: '上海', value: 95 }],
        [{ name: '北京' }, { name: '广州', value: 90 }],
        [{ name: '北京' }, { name: '大连', value: 80 }],
        [{ name: '北京' }, { name: '南宁', value: 70 }],
        [{ name: '北京' }, { name: '南昌', value: 60 }],
        [{ name: '北京' }, { name: '拉萨', value: 50 }],
        [{ name: '北京' }, { name: '长春', value: 40 }],
        [{ name: '北京' }, { name: '包头', value: 30 }],
        [{ name: '北京' }, { name: '重庆', value: 20 }],
        [{ name: '北京' }, { name: '常州', value: 10 }]
      ];
      var planePath = 'path://M1705.06,1318.313v-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-134.449-92.931l12.238-241.308L1705.06,1318.313z';
      var convertData = function(data) {
        var res = [];
        for (var i = 0; i < data.length; i++) {
          var dataItem = data[i];
          var fromCoord = geoCoordMap[dataItem[1].name];
          var toCoord = geoCoordMap[dataItem[0].name];
          if (fromCoord && toCoord) {
            res.push({
              fromName: dataItem[0].name,
              toName: dataItem[1].name,
              coords: [fromCoord, toCoord]
            });
          }
        }
        return res;
      };
      var color = ['#a6c84c', '#ffa022', '#46bee9'];
      var series = [];
      [
        ['北京', BJData]].forEach(
          function(item, i) {
            series.push(
              {
                name: item[0] + ' Top10',
                type: 'lines',
                zlevel: 1,
                effect: {
                  show: true,
                  period: 6,
                  trailLength: 0.7,
                  color: '#fff',
                  symbolSize: 3
                },
                lineStyle: {
                  normal: {
                    color: color[i],
                    width: 0,
                    curveness: 0.2
                  }
                },
                data: convertData(item[1])
              },
              {
                name: item[0] + ' Top10',
                type: 'lines',
                zlevel: 2,
                effect: {
                  show: true,
                  period: 6,
                  trailLength: 0,
                  // symbol: planePath,
                  symbol: 'arrow',
                  symbolSize: 15
                },
                lineStyle: {
                  normal: {
                    color: color[i],
                    width: 1,
                    opacity: 0.4,
                    curveness: 0.2
                  }
                },
                data: convertData(item[1])
              },
              {
                name: item[0] + ' Top10',
                type: 'effectScatter',
                coordinateSystem: 'geo',
                zlevel: 2,
                rippleEffect: {
                  brushType: 'stroke'
                },
                label: {
                  normal: {
                    show: true,
                    position: 'right',
                    formatter: '{b}'
                  }
                },
                symbolSize: function(val) {
                  return val[2] / 8;
                },
                itemStyle: {
                  normal: {
                    color: color[i]
                  }
                },
                data: item[1].map(function(dataItem) {
                  return {
                    name: dataItem[1].name,
                    value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
                  };
                })
              });
          });
      return {
        tooltip: {
          trigger: 'item'
        },
        series: series
      };
    }
  </script>
</body>
</html>

三组数据时:

<!DOCTYPE html>
<html>
<head>
  <title>openlayers6结合echarts4实现迁徙图</title>
  <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/openlayers/openlayers.github.io@master/en/v6.3.1/css/ol.css"
    type="text/css">
  <script src="https://cdn.jsdelivr.net/gh/openlayers/openlayers.github.io@master/en/v6.3.1/build/ol.js"></script>
  <script src="https://cdn.jsdelivr.net/npm/echarts/dist/echarts.js"></script>
  <script src="js/ol-echarts.js"></script>
  <!-- ol-echarts.js文件可npm下载 -->
  <!-- 参考地址:https://www.npmjs.com/package/ol-echarts/v/1.3.6 -->
  <!-- 文章来源:https://www.cnblogs.com/giserhome/archive/2020/07/26/13379672.html -->
  <style>
    html,
    body,
    #map {
      height: 100%;
      margin: 0;
      padding: 0;
    }
  </style>
</head>

<body>
  <div id="map"></div>
  <script>
    /**
          * 地图创建初始化
          */
    var map = new ol.Map({
      target: 'map',
      layers: [
        new ol.layer.Tile({
          source: new ol.source.XYZ({
            url: 'http://cache1.arcgisonline.cn/arcgis/rest/services/ChinaOnline' +
              'StreetPurplishBlue/MapServer/tile/{z}/{y}/{x}'
          })
        })
      ],
      view: new ol.View({
        center: [116.55406673632812, 39.94828066015626],
        projection: 'EPSG:4326',
        zoom: 5
      })
    });

    //迁徙图图层初始化
    var echartslayer = new EChartsLayer(getOption());
    echartslayer.appendTo(map)
    function getOption() {
      var geoCoordMap = {
        '上海': [121.4648, 31.2891],
        '东莞': [113.8953, 22.901],
        '东营': [118.7073, 37.5513],
        '中山': [113.4229, 22.478],
        '临汾': [111.4783, 36.1615],
        '临沂': [118.3118, 35.2936],
        '丹东': [124.541, 40.4242],
        '丽水': [119.5642, 28.1854],
        '乌鲁木齐': [87.9236, 43.5883],
        '佛山': [112.8955, 23.1097],
        '保定': [115.0488, 39.0948],
        '兰州': [103.5901, 36.3043],
        '包头': [110.3467, 41.4899],
        '北京': [116.4551, 40.2539],
        '北海': [109.314, 21.6211],
        '南京': [118.8062, 31.9208],
        '南宁': [108.479, 23.1152],
        '南昌': [116.0046, 28.6633],
        '南通': [121.1023, 32.1625],
        '厦门': [118.1689, 24.6478],
        '台州': [121.1353, 28.6688],
        '合肥': [117.29, 32.0581],
        '呼和浩特': [111.4124, 40.4901],
        '咸阳': [108.4131, 34.8706],
        '哈尔滨': [127.9688, 45.368],
        '唐山': [118.4766, 39.6826],
        '嘉兴': [120.9155, 30.6354],
        '大同': [113.7854, 39.8035],
        '大连': [122.2229, 39.4409],
        '天津': [117.4219, 39.4189],
        '太原': [112.3352, 37.9413],
        '威海': [121.9482, 37.1393],
        '宁波': [121.5967, 29.6466],
        '宝鸡': [107.1826, 34.3433],
        '宿迁': [118.5535, 33.7775],
        '常州': [119.4543, 31.5582],
        '广州': [113.5107, 23.2196],
        '廊坊': [116.521, 39.0509],
        '延安': [109.1052, 36.4252],
        '张家口': [115.1477, 40.8527],
        '徐州': [117.5208, 34.3268],
        '德州': [116.6858, 37.2107],
        '惠州': [114.6204, 23.1647],
        '成都': [103.9526, 30.7617],
        '扬州': [119.4653, 32.8162],
        '承德': [117.5757, 41.4075],
        '拉萨': [91.1865, 30.1465],
        '无锡': [120.3442, 31.5527],
        '日照': [119.2786, 35.5023],
        '昆明': [102.9199, 25.4663],
        '杭州': [119.5313, 29.8773],
        '枣庄': [117.323, 34.8926],
        '柳州': [109.3799, 24.9774],
        '株洲': [113.5327, 27.0319],
        '武汉': [114.3896, 30.6628],
        '汕头': [117.1692, 23.3405],
        '江门': [112.6318, 22.1484],
        '沈阳': [123.1238, 42.1216],
        '沧州': [116.8286, 38.2104],
        '河源': [114.917, 23.9722],
        '泉州': [118.3228, 25.1147],
        '泰安': [117.0264, 36.0516],
        '泰州': [120.0586, 32.5525],
        '济南': [117.1582, 36.8701],
        '济宁': [116.8286, 35.3375],
        '海口': [110.3893, 19.8516],
        '淄博': [118.0371, 36.6064],
        '淮安': [118.927, 33.4039],
        '深圳': [114.5435, 22.5439],
        '清远': [112.9175, 24.3292],
        '温州': [120.498, 27.8119],
        '渭南': [109.7864, 35.0299],
        '湖州': [119.8608, 30.7782],
        '湘潭': [112.5439, 27.7075],
        '滨州': [117.8174, 37.4963],
        '潍坊': [119.0918, 36.524],
        '烟台': [120.7397, 37.5128],
        '玉溪': [101.9312, 23.8898],
        '珠海': [113.7305, 22.1155],
        '盐城': [120.2234, 33.5577],
        '盘锦': [121.9482, 41.0449],
        '石家庄': [114.4995, 38.1006],
        '福州': [119.4543, 25.9222],
        '秦皇岛': [119.2126, 40.0232],
        '绍兴': [120.564, 29.7565],
        '聊城': [115.9167, 36.4032],
        '肇庆': [112.1265, 23.5822],
        '舟山': [122.2559, 30.2234],
        '苏州': [120.6519, 31.3989],
        '莱芜': [117.6526, 36.2714],
        '菏泽': [115.6201, 35.2057],
        '营口': [122.4316, 40.4297],
        '葫芦岛': [120.1575, 40.578],
        '衡水': [115.8838, 37.7161],
        '衢州': [118.6853, 28.8666],
        '西宁': [101.4038, 36.8207],
        '西安': [109.1162, 34.2004],
        '贵阳': [106.6992, 26.7682],
        '连云港': [119.1248, 34.552],
        '邢台': [114.8071, 37.2821],
        '邯郸': [114.4775, 36.535],
        '郑州': [113.4668, 34.6234],
        '鄂尔多斯': [108.9734, 39.2487],
        '重庆': [107.7539, 30.1904],
        '金华': [120.0037, 29.1028],
        '铜川': [109.0393, 35.1947],
        '银川': [106.3586, 38.1775],
        '镇江': [119.4763, 31.9702],
        '长春': [125.8154, 44.2584],
        '长沙': [113.0823, 28.2568],
        '长治': [112.8625, 36.4746],
        '阳泉': [113.4778, 38.0951],
        '青岛': [120.4651, 36.3373],
        '韶关': [113.7964, 24.7028]
      };
      var BJData = [
        [{ name: '北京' }, { name: '上海', value: 95 }],
        [{ name: '北京' }, { name: '广州', value: 90 }],
        [{ name: '北京' }, { name: '大连', value: 80 }],
        [{ name: '北京' }, { name: '南宁', value: 70 }],
        [{ name: '北京' }, { name: '南昌', value: 60 }],
        [{ name: '北京' }, { name: '拉萨', value: 50 }],
        [{ name: '北京' }, { name: '长春', value: 40 }],
        [{ name: '北京' }, { name: '包头', value: 30 }],
        [{ name: '北京' }, { name: '重庆', value: 20 }],
        [{ name: '北京' }, { name: '常州', value: 10 }]
      ];
      var SHData = [
        [{ name: '上海' }, { name: '包头', value: 95 }],
        [{ name: '上海' }, { name: '昆明', value: 90 }],
        [{ name: '上海' }, { name: '广州', value: 80 }],
        [{ name: '上海' }, { name: '郑州', value: 70 }],
        [{ name: '上海' }, { name: '长春', value: 60 }],
        [{ name: '上海' }, { name: '重庆', value: 50 }],
        [{ name: '上海' }, { name: '长沙', value: 40 }],
        [{ name: '上海' }, { name: '北京', value: 30 }],
        [{ name: '上海' }, { name: '丹东', value: 20 }],
        [{ name: '上海' }, { name: '大连', value: 10 }]
      ];
      var GZData = [
        [{ name: '广州' }, { name: '福州', value: 95 }],
        [{ name: '广州' }, { name: '太原', value: 90 }],
        [{ name: '广州' }, { name: '长春', value: 80 }],
        [{ name: '广州' }, { name: '重庆', value: 70 }],
        [{ name: '广州' }, { name: '西安', value: 60 }],
        [{ name: '广州' }, { name: '成都', value: 50 }],
        [{ name: '广州' }, { name: '常州', value: 40 }],
        [{ name: '广州' }, { name: '北京', value: 30 }],
        [{ name: '广州' }, { name: '北海', value: 20 }],
        [{ name: '广州' }, { name: '海口', value: 10 }]
      ];
      var planePath = 'path://M1705.06,1318.313v-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-134.449-92.931l12.238-241.308L1705.06,1318.313z';
      var convertData = function(data) {
        var res = [];
        for (var i = 0; i < data.length; i++) {
          var dataItem = data[i];
          var fromCoord = geoCoordMap[dataItem[1].name];
          var toCoord = geoCoordMap[dataItem[0].name];
          if (fromCoord && toCoord) {
            res.push({
              fromName: dataItem[0].name,
              toName: dataItem[1].name,
              coords: [fromCoord, toCoord]
            });
          }
        }
        return res;
      };
      var color = ['#a6c84c', '#ffa022', '#46bee9'];
      var series = [];
      [
        ['北京', BJData], ['上海', SHData], ['广州', GZData]].forEach(
          function(item, i) {
            series.push(
              {
                name: item[0] + ' Top10',
                type: 'lines',
                zlevel: 1,
                effect: {
                  show: true,
                  period: 6,
                  trailLength: 0.7,
                  color: '#fff',
                  symbolSize: 3
                },
                lineStyle: {
                  normal: {
                    color: color[i],
                    width: 0,
                    curveness: 0.2
                  }
                },
                data: convertData(item[1])
              },
              {
                name: item[0] + ' Top10',
                type: 'lines',
                zlevel: 2,
                effect: {
                  show: true,
                  period: 6,
                  trailLength: 0,
                  // symbol: planePath,
                  symbol: 'arrow',
                  symbolSize: 15
                },
                lineStyle: {
                  normal: {
                    color: color[i],
                    width: 1,
                    opacity: 0.4,
                    curveness: 0.2
                  }
                },
                data: convertData(item[1])
              },
              {
                name: item[0] + ' Top10',
                type: 'effectScatter',
                coordinateSystem: 'geo',
                zlevel: 2,
                rippleEffect: {
                  brushType: 'stroke'
                },
                label: {
                  normal: {
                    show: true,
                    position: 'right',
                    formatter: '{b}'
                  }
                },
                symbolSize: function(val) {
                  return val[2] / 8;
                },
                itemStyle: {
                  normal: {
                    color: color[i]
                  }
                },
                data: item[1].map(function(dataItem) {
                  return {
                    name: dataItem[1].name,
                    value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
                  };
                })
              });
          });
      return {
        tooltip: {
          trigger: 'item'
        },
        /*title: {
            text: '模拟迁徙图',
          subtext: '',
          left: 'center',
          textStyle: {
            color: '#fff'
        }
        },*/
        series: series
      };
    }
  </script>
</body>

</html>

标签:name,openlayers6,color,value,var,echarts4,item,迁徙,dataItem
来源: https://www.cnblogs.com/wwj007/p/15072285.html

本站声明: 1. iCode9 技术分享网(下文简称本站)提供的所有内容,仅供技术学习、探讨和分享;
2. 关于本站的所有留言、评论、转载及引用,纯属内容发起人的个人观点,与本站观点和立场无关;
3. 关于本站的所有言论和文字,纯属内容发起人的个人观点,与本站观点和立场无关;
4. 本站文章均是网友提供,不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属;如您发现该文章侵犯了您的权益,可联系我们第一时间进行删除;
5. 本站为非盈利性的个人网站,所有内容不会用来进行牟利,也不会利用任何形式的广告来间接获益,纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。

专注分享技术,共同学习,共同进步。侵权联系[81616952@qq.com]

Copyright (C)ICode9.com, All Rights Reserved.

ICode9版权所有