wwj007

根据value值设置轨迹颜色

<!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>
  <script src="https://files.cnblogs.com/files/wwj007/ol-echarts.js"></script>
  <!-- ol-echarts.js文件可npm下载,上面引用了我账号文件 -->
  <!-- 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>
    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],
        \'北京\': [116.4551, 40.2539],
        \'南宁\': [108.479, 23.1152],
        \'南昌\': [116.0046, 28.6633],
        \'大连\': [122.2229, 39.4409],
        \'广州\': [113.5107, 23.2196],
      };
      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 }],
      ];
      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({
              toName: dataItem[0].name,
              fromName: dataItem[1].name,
              coords: [fromCoord, toCoord],
              value: dataItem[1].value
            });
          }
        }
        return res;
      };
      var color = [\'#a6c84c\', \'#ffa022\', \'#46bee9\', \'#61b8ff\', \'#0000e1\', \'#fa00fa\', \'pink\', \'#880015\'];
      var series = [];
      series.push(
        {
          type: \'lines\',
          zlevel: 2,
          effect: {
            show: true,
            period: 6,
            trailLength: 0,
            symbol: \'arrow\',
            symbolSize: 10
          },
          lineStyle: {
            normal: {
              color: function(params) {
                console.log(params.value, params.data.fromName);
                return color[parseInt((params.value - 60) / 5)]
              },
              width: 2,
              opacity: 0.4,
              curveness: 0.2
            }
          },
          data: convertData(BJData)
        },
        {
          type: \'effectScatter\',
          coordinateSystem: \'geo\',
          zlevel: 2,
          rippleEffect: {
            brushType: \'stroke\'
          },
          label: {
            normal: {
              show: true,
              position: \'right\',
              formatter: \'{b}\'
            }
          },
          symbolSize: 15,
          itemStyle: {
            normal: {
              color: function(params) {
                return color[parseInt((params.value[2] - 60) / 5)]
              },
            }
          },
          data: BJData.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>

上述代码效果图:

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 -->
  <style>
    html,body,#map {
      height: 100%;
      margin: 0;
      padding: 0;
    }
  </style>
</head>

<body>
  <div id="map"></div>
  <script>
    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>

分类:

技术点:

相关文章:

  • 2022-01-03
  • 2021-12-01
  • 2021-11-30
  • 2022-12-23
  • 2021-11-11
  • 2022-12-23
  • 2021-07-14
猜你喜欢
  • 2021-12-04
  • 2021-11-11
  • 2021-12-27
  • 2021-05-08
  • 2021-11-11
  • 2022-02-02
  • 2022-12-23
相关资源
相似解决方案