【GIS效果:迁徙图】openlayers+ol3Echarts实现飞机迁徙图
已被阅读 3663 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
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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