【GIS效果:迁徙图】openlayers+ol3Echarts实现飞机迁徙图

已被阅读 3027 次 | 文章分类:OpenLayers | 2021-11-14 22:35

openlayers结合ol3Echarts插件,实现迁徙图效果,ol3Echarts是将echarts结合ol封装后的一个插件;迁徙简单点说就是目标在两个点之间沿着相对稳定的路线移动的一个动态过程

1 实现效果

实现如下从北京,上海,广州流出到其他城市的一个迁徙过程

小白GIS

2 实现原理

完成这个效果,需要对openlayers、echarts有相对的认识,特别是echarts中option的应用;通过对迁徙图分析,迁徙图有三部分构成

1 点圈的绘制,各个城市的点位

                                        
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]
        }
                                        
                                    

2 路线的绘制,即起点到终点的路径

                                        
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 }]
        ]
                                        
                                    

3 路线上流光线条的绘制,即小飞机飞过后的流光

上面三个部分通过添加三个series,即两个line类型和一个effectScatter类型实现,其中的动态效果(飞机动画,点圈扩散,流光)通过effect参数就能方便实现

其中echarts的series中,line的数据格式要转换成如下格式

                                        
[{
  fromName: "北京",
  toName: "南京",
  coords: [[116.4551, 40.2539], [118.8062, 31.9208]]
}]
                                        
                                    

3 全部代码

在引入ol3echarts前,需要先引入echarts

                                        
var esriMapLayer = new ol.layer.Tile({
    		source: new ol.source.XYZ({
      		url: 'https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}'
    		}),
    		title:"ESRI影像图"
      })
      var map = new ol.Map({
        target: "map",
        layers: [esriMapLayer],
        view: new ol.View({
          center: ol.proj.fromLonLat([108.18095703125005, 34.34141675361363]),
          projection: "EPSG:3857",
          zoom: 5
        })
      })
      var echartslayer = new ol3Echarts(getOption())
      echartslayer.appendTo(map)
      
      function getOption() {
        // 图标
        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"
        // 转换数据
        var convertData = function(data) {
          var res = []
          for (var i = 0; i < data.length; i++) {
            var dataItem = data[i]
            var fromCoord = geoCoordMap[dataItem[0].name]
            var toCoord = geoCoordMap[dataItem[1].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,  // 飞行速度
                trailLength: 0, // 尾巴长度
                symbol: planePath, // 图标符号
                symbolSize: 15 // 符号大小
              },
              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
        }
      }
                                        
                                    

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