使用Cesium的时候，都会使用echarts来在界面上绘制图表。展示各种信息，但是呢，我想着echarts这么好看的东西，其他项目上那种在3d地球上绘制的是怎么做到的。于是我去github以及各种资源网站上搜罗了一遍，自己测试了一遍。然后找到了真正有效果的代码，本地运行效果图如下：（纯js和jquery，没有使用npm，没有用到import和require这些东西)
这是万佛朝宗类型。
这是常见的飞机航线。
这是常见的散点图。
我电脑访问echarts官网的时候，打不开3d地球的示例，所以也不知道echarts是怎么使用3d坐标系得，只能从其他地方去理解。
echarts的绘制需要一个div来显示它，而cesium的地球也是在一个div里面绘制的。大致实现逻辑是：
1.改造echarts，因为所有的echarts结合cesium的博客、git里面，都包含了一段很奇怪的字符串。"GLMap"，以及各种基于echarts的注册方法。
看了一些博客博文的解释，是说改造的echarts坐标参考系。
2.像正常echarts一样，传入option参数。
遇到的问题和报错：
在尝试网上的很多方法的时候，都遇到了一个报错。即使我使用了GLMap和echarts的各种注册方法。cesium却给了我一个渲染报错，说“f.silce() not a function”是从echarts.min.js出来的。于是我更换了整个echarts.min.js文件，而后渲染成功了！
我根目录下，cesium文件和echarts文件的位置是这样的：
统一放在了js文件夹里面。echarts.min copy.js是我原先的文件，可以忽略。
而后在index.html文件里面，像常规一样使用
主要的代码：为echarts注册些东西:
//结合echarts
(function(e) {
const t = {};
function n(r) {
if (t[r]) return t[r].exports;
const i = t[r] = {
i: r,
l: !1,
exports: {}
};
return e[r].call(i.exports, i, i.exports, n),
i.l = !0,
i.exports
}
n.m = e,
n.c = t,
n.d = function(e, t, r) {
n.o(e, t) || Object.defineProperty(e, t, {
enumerable: !0,
get: r
})
},
n.r = function(e) {
"undefined" != typeof Symbol && Symbol.toStringTag && Object.defineProperty(e, Symbol.toStringTag, {
value: "Module"
}),
Object.defineProperty(e, "__esModule", {
value: !0
})
},
n.t = function(e, t) {
if (1 & t && (e = n(e)), 8 & t) return e;
if (4 & t && "object" == typeof e && e && e.__esModule) return e;
const r = Object.create(null);
if (n.r(r), Object.defineProperty(r, "default", {
enumerable: !0,
value: e
}), 2 & t && "string" != typeof e) for (let i in e) n.d(r, i,
function(t) {
return e[t]
}.bind(null, i));
return r
},
n.n = function(e) {
let t = e && e.__esModule ?
function() {
return e.
default
}:
function() {
return e
};
return n.d(t, "a", t),
t
},
n.o = function(e, t) {
return Object.prototype.hasOwnProperty.call(e, t)
},
n.p = "",
n(n.s = 0)
})([function(e, t, n){e.exports = n(1)},function(e, t, n) {
echarts ? n(2).load() : console.error("missing echarts lib")
},function(e, t, n) {
"use strict";
function r(e, t) {
for (let n = 0; n < t.length; n++) {
let r = t[n];
r.enumerable = r.enumerable || !1,
r.configurable = !0,
"value" in r && (r.writable = !0),
Object.defineProperty(e, r.key, r)
}
}
n.r(t);
let i = function() {
function e(t, n) { !
function(e, t) {
if (! (e instanceof t)) throw new TypeError("Cannot call a class as a function")
} (this, e),
this._viewer = t,
this.dimensions = ["lng", "lat"],
this._mapOffset = [0, 0],
this._api = n
}
let t, n, i;
return t = e,
i = [{
key: "create",
value: function(t, n) {
let r;
t.eachComponent("GLMap",
function(t) { (r = new e(echarts.cesiumViewer, n)).setMapOffset(t.__mapOffset || [0, 0]),
t.coordinateSystem = r
}),
t.eachSeries(function(e) {
"GLMap" === e.get("coordinateSystem") && (e.coordinateSystem = r)
})
}
},
{
key: "dimensions",
get: function() {
return ["lng", "lat"]
}
}],
(n = [{
key: "setMapOffset",
value: function(e) {
return this._mapOffset = e,
this
}
},
{
key: "getViewer",
value: function() {
return this._viewer
}
},
{
key: "dataToPoint",
value: function(e) {
let t = this._viewer.scene,
n = [0, 0],
r = Cesium.Cartesian3.fromDegrees(e[0], e[1]);
if (!r) return n;
if (t.mode === Cesium.SceneMode.SCENE3D && Cesium.Cartesian3.angleBetween(t.camera.position, r) > Cesium.Math.toRadians(80)) return ! 1;
let i = t.cartesianToCanvasCoordinates(r);
return i ? [i.x - this._mapOffset[0], i.y - this._mapOffset[1]] : n
}
},
{
key: "pointToData",
value: function(e) {
let t = this._mapOffset,
n = viewer.scene.globe.ellipsoid,
r = new Cesium.cartesian3(e[1] + t, e[2] + t[2], 0),
i = n.cartesianToCartographic(r);
return [i.lng, i.lat]
}
},
{
key: "getViewRect",
value: function() {
let e = this._api;
return new echarts.graphic.BoundingRect(0, 0, e.getWidth(), e.getHeight())
}
},
{
key: "getRoamTransform",
value: function() {
return echarts.matrix.create()
}
}]) && r(t.prototype, n),
i && r(t, i),
e
} ();
echarts.extendComponentModel({
type: "GLMap",
getViewer: function() {
return echarts.cesiumViewer
},
defaultOption: {
roam: !1
}
}),
echarts.extendComponentView({
type: "GLMap",
init: function(e, t) {
this.api = t,
echarts.cesiumViewer.scene.postRender.addEventListener(this.moveHandler, this)
},
moveHandler: function(e, t) {
this.api.dispatchAction({
type: "GLMapRoam"
})
},
render: function(e, t, n) {},
dispose: function(e) {
echarts.cesiumViewer.scene.postRender.removeEventListener(this.moveHandler, this)
}
});
function a() {
echarts.registerCoordinateSystem("GLMap", i),
echarts.registerAction({
type: "GLMapRoam",
event: "GLMapRoam",
update: "updateLayout"
},
function(e, t) {})
}
n.d(t, "load",
function() {
return a
})
}])然后就是调用的方法了：
//开始
echarts.cesiumViewer = this.viewer
function hrcEcharts(t, e) {
this._mapContainer = t;
this._overlay = this._createChartOverlay()
this._overlay.setOption(e)
}
hrcEcharts.prototype._createChartOverlay = function() {
const t = this._mapContainer.scene;
t.canvas.setAttribute('tabIndex', 0);
const e = document.createElement('div');
e.style.position = 'absolute';
e.style.top = '0px';
e.style.left = '0px';
e.style.width = t.canvas.width + 'px';
e.style.height = t.canvas.height + 'px';
e.style.pointerEvents = 'none';
const l = document.getElementsByClassName('echartMap').length
e.setAttribute('id','ysCesium-echarts-'+parseInt(Math.random()*99999)+'-'+l)
e.setAttribute('class', 'echartMap');
this._mapContainer.container.appendChild(e);
this._echartsContainer = e
return echarts.init(e)
}
hrcEcharts.prototype.dispose = function() {
this._echartsContainer && (this._mapContainer.container.removeChild(this._echartsContainer), (this._echartsContainer = null)), this._overlay && (this._overlay.dispose(), (this._overlay = null))
}
hrcEcharts.prototype.updateOverlay = function(t) {
this._overlay && this._overlay.setOption(t)
}
hrcEcharts.prototype.getMap = function() {
return this._mapContainer
}
hrcEcharts.prototype.getOverlay = function() {
return this._overlay
}
hrcEcharts.prototype.show = function() {
document.getElementById(this._id).style.visibility = 'visible'
}
hrcEcharts.prototype.hide = function() {
document.getElementById(this._id).style.visibility = 'hidden'
}完整的使用就是，把它们都放在一个方法里面，然后返回hrcEcharts。代码：
// 结合echarts
function cesiumUseEcharts(option) {
//结合echarts
(function(e) {
const t = {};
function n(r) {
if (t[r]) return t[r].exports;
const i = t[r] = {
i: r,
l: !1,
exports: {}
};
return e[r].call(i.exports, i, i.exports, n),
i.l = !0,
i.exports
}
n.m = e,
n.c = t,
n.d = function(e, t, r) {
n.o(e, t) || Object.defineProperty(e, t, {
enumerable: !0,
get: r
})
},
n.r = function(e) {
"undefined" != typeof Symbol && Symbol.toStringTag && Object.defineProperty(e, Symbol.toStringTag, {
value: "Module"
}),
Object.defineProperty(e, "__esModule", {
value: !0
})
},
n.t = function(e, t) {
if (1 & t && (e = n(e)), 8 & t) return e;
if (4 & t && "object" == typeof e && e && e.__esModule) return e;
const r = Object.create(null);
if (n.r(r), Object.defineProperty(r, "default", {
enumerable: !0,
value: e
}), 2 & t && "string" != typeof e) for (let i in e) n.d(r, i,
function(t) {
return e[t]
}.bind(null, i));
return r
},
n.n = function(e) {
let t = e && e.__esModule ?
function() {
return e.
default
}:
function() {
return e
};
return n.d(t, "a", t),
t
},
n.o = function(e, t) {
return Object.prototype.hasOwnProperty.call(e, t)
},
n.p = "",
n(n.s = 0)
})([function(e, t, n){e.exports = n(1)},function(e, t, n) {
echarts ? n(2).load() : console.error("missing echarts lib")
},function(e, t, n) {
"use strict";
function r(e, t) {
for (let n = 0; n < t.length; n++) {
let r = t[n];
r.enumerable = r.enumerable || !1,
r.configurable = !0,
"value" in r && (r.writable = !0),
Object.defineProperty(e, r.key, r)
}
}
n.r(t);
let i = function() {
function e(t, n) { !
function(e, t) {
if (! (e instanceof t)) throw new TypeError("Cannot call a class as a function")
} (this, e),
this._viewer = t,
this.dimensions = ["lng", "lat"],
this._mapOffset = [0, 0],
this._api = n
}
let t, n, i;
return t = e,
i = [{
key: "create",
value: function(t, n) {
let r;
t.eachComponent("GLMap",
function(t) { (r = new e(echarts.cesiumViewer, n)).setMapOffset(t.__mapOffset || [0, 0]),
t.coordinateSystem = r
}),
t.eachSeries(function(e) {
"GLMap" === e.get("coordinateSystem") && (e.coordinateSystem = r)
})
}
},
{
key: "dimensions",
get: function() {
return ["lng", "lat"]
}
}],
(n = [{
key: "setMapOffset",
value: function(e) {
return this._mapOffset = e,
this
}
},
{
key: "getViewer",
value: function() {
return this._viewer
}
},
{
key: "dataToPoint",
value: function(e) {
let t = this._viewer.scene,
n = [0, 0],
r = Cesium.Cartesian3.fromDegrees(e[0], e[1]);
if (!r) return n;
if (t.mode === Cesium.SceneMode.SCENE3D && Cesium.Cartesian3.angleBetween(t.camera.position, r) > Cesium.Math.toRadians(80)) return ! 1;
let i = t.cartesianToCanvasCoordinates(r);
return i ? [i.x - this._mapOffset[0], i.y - this._mapOffset[1]] : n
}
},
{
key: "pointToData",
value: function(e) {
let t = this._mapOffset,
n = viewer.scene.globe.ellipsoid,
r = new Cesium.cartesian3(e[1] + t, e[2] + t[2], 0),
i = n.cartesianToCartographic(r);
return [i.lng, i.lat]
}
},
{
key: "getViewRect",
value: function() {
let e = this._api;
return new echarts.graphic.BoundingRect(0, 0, e.getWidth(), e.getHeight())
}
},
{
key: "getRoamTransform",
value: function() {
return echarts.matrix.create()
}
}]) && r(t.prototype, n),
i && r(t, i),
e
} ();
echarts.extendComponentModel({
type: "GLMap",
getViewer: function() {
return echarts.cesiumViewer
},
defaultOption: {
roam: !1
}
}),
echarts.extendComponentView({
type: "GLMap",
init: function(e, t) {
this.api = t,
echarts.cesiumViewer.scene.postRender.addEventListener(this.moveHandler, this)
},
moveHandler: function(e, t) {
this.api.dispatchAction({
type: "GLMapRoam"
})
},
render: function(e, t, n) {},
dispose: function(e) {
echarts.cesiumViewer.scene.postRender.removeEventListener(this.moveHandler, this)
}
});
function a() {
echarts.registerCoordinateSystem("GLMap", i),
echarts.registerAction({
type: "GLMapRoam",
event: "GLMapRoam",
update: "updateLayout"
},
function(e, t) {})
}
n.d(t, "load",
function() {
return a
})
}])
//开始
echarts.cesiumViewer = this.viewer
function hrcEcharts(t, e) {
this._mapContainer = t;
this._overlay = this._createChartOverlay()
this._overlay.setOption(e)
}
hrcEcharts.prototype._createChartOverlay = function() {
const t = this._mapContainer.scene;
t.canvas.setAttribute('tabIndex', 0);
const e = document.createElement('div');
e.style.position = 'absolute';
e.style.top = '0px';
e.style.left = '0px';
e.style.width = t.canvas.width + 'px';
e.style.height = t.canvas.height + 'px';
e.style.pointerEvents = 'none';
const l = document.getElementsByClassName('echartMap').length
e.setAttribute('id','ysCesium-echarts-'+parseInt(Math.random()*99999)+'-'+l)
e.setAttribute('class', 'echartMap');
this._mapContainer.container.appendChild(e);
this._echartsContainer = e
return echarts.init(e)
}
hrcEcharts.prototype.dispose = function() {
this._echartsContainer && (this._mapContainer.container.removeChild(this._echartsContainer), (this._echartsContainer = null)), this._overlay && (this._overlay.dispose(), (this._overlay = null))
}
hrcEcharts.prototype.updateOverlay = function(t) {
this._overlay && this._overlay.setOption(t)
}
hrcEcharts.prototype.getMap = function() {
return this._mapContainer
}
hrcEcharts.prototype.getOverlay = function() {
return this._overlay
}
hrcEcharts.prototype.show = function() {
document.getElementById(this._id).style.visibility = 'visible'
}
hrcEcharts.prototype.hide = function() {
document.getElementById(this._id).style.visibility = 'hidden'
}
new hrcEcharts(this.viewer,option)
}然后在js文件中使用就好了。
示例代码散点图数据，以及使用：
// 散点图
const data = [
{name: '海门', value: 9},
{name: '鄂尔多斯', value: 12},
{name: '招远', value: 12},
{name: '舟山', value: 12},
{name: '齐齐哈尔', value: 14},
{name: '盐城', value: 15},
{name: '赤峰', value: 16},
{name: '青岛', value: 18},
{name: '乳山', value: 18},
{name: '金昌', value: 19},
{name: '泉州', value: 21},
{name: '莱西', value: 21},
{name: '日照', value: 21},
{name: '胶南', value: 22},
{name: '南通', value: 23},
{name: '拉萨', value: 24},
{name: '云浮', value: 24},
{name: '梅州', value: 25},
{name: '文登', value: 25},
{name: '上海', value: 25},
{name: '攀枝花', value: 25},
{name: '威海', value: 25},
{name: '承德', value: 25},
{name: '厦门', value: 26},
{name: '汕尾', value: 26},
{name: '潮州', value: 26},
{name: '丹东', value: 27},
{name: '太仓', value: 27},
{name: '曲靖', value: 27},
{name: '烟台', value: 28},
{name: '福州', value: 29},
{name: '瓦房店', value: 30},
{name: '即墨', value: 30},
{name: '抚顺', value: 31},
{name: '玉溪', value: 31},
{name: '张家口', value: 31},
{name: '阳泉', value: 31},
{name: '莱州', value: 32},
{name: '湖州', value: 32},
{name: '汕头', value: 32},
{name: '昆山', value: 33},
{name: '宁波', value: 33},
{name: '湛江', value: 33},
{name: '揭阳', value: 34},
{name: '荣成', value: 34},
{name: '连云港', value: 35},
{name: '葫芦岛', value: 35},
{name: '常熟', value: 36},
{name: '东莞', value: 36},
{name: '河源', value: 36},
{name: '淮安', value: 36},
{name: '泰州', value: 36},
{name: '南宁', value: 37},
{name: '营口', value: 37},
{name: '惠州', value: 37},
{name: '江阴', value: 37},
{name: '蓬莱', value: 37},
{name: '韶关', value: 38},
{name: '嘉峪关', value: 38},
{name: '广州', value: 38},
{name: '延安', value: 38},
{name: '太原', value: 39},
{name: '清远', value: 39},
{name: '中山', value: 39},
{name: '昆明', value: 39},
{name: '寿光', value: 40},
{name: '盘锦', value: 40},
{name: '长治', value: 41},
{name: '深圳', value: 41},
{name: '珠海', value: 42},
{name: '宿迁', value: 43},
{name: '咸阳', value: 43},
{name: '铜川', value: 44},
{name: '平度', value: 44},
{name: '佛山', value: 44},
{name: '海口', value: 44},
{name: '江门', value: 45},
{name: '章丘', value: 45},
{name: '肇庆', value: 46},
{name: '大连', value: 47},
{name: '临汾', value: 47},
{name: '吴江', value: 47},
{name: '石嘴山', value: 49},
{name: '沈阳', value: 50},
{name: '苏州', value: 50},
{name: '茂名', value: 50},
{name: '嘉兴', value: 51},
{name: '长春', value: 51},
{name: '胶州', value: 52},
{name: '银川', value: 52},
{name: '张家港', value: 52},
{name: '三门峡', value: 53},
{name: '锦州', value: 54},
{name: '南昌', value: 54},
{name: '柳州', value: 54},
{name: '三亚', value: 54},
{name: '自贡', value: 56},
{name: '吉林', value: 56},
{name: '阳江', value: 57},
{name: '泸州', value: 57},
{name: '西宁', value: 57},
{name: '宜宾', value: 58},
{name: '呼和浩特', value: 58},
{name: '成都', value: 58},
{name: '大同', value: 58},
{name: '镇江', value: 59},
{name: '桂林', value: 59},
{name: '张家界', value: 59},
{name: '宜兴', value: 59},
{name: '北海', value: 60},
{name: '西安', value: 61},
{name: '金坛', value: 62},
{name: '东营', value: 62},
{name: '牡丹江', value: 63},
{name: '遵义', value: 63},
{name: '绍兴', value: 63},
{name: '扬州', value: 64},
{name: '常州', value: 64},
{name: '潍坊', value: 65},
{name: '重庆', value: 66},
{name: '台州', value: 67},
{name: '南京', value: 67},
{name: '滨州', value: 70},
{name: '贵阳', value: 71},
{name: '无锡', value: 71},
{name: '本溪', value: 71},
{name: '克拉玛依', value: 72},
{name: '渭南', value: 72},
{name: '马鞍山', value: 72},
{name: '宝鸡', value: 72},
{name: '焦作', value: 75},
{name: '句容', value: 75},
{name: '北京', value: 79},
{name: '徐州', value: 79},
{name: '衡水', value: 80},
{name: '包头', value: 80},
{name: '绵阳', value: 80},
{name: '乌鲁木齐', value: 84},
{name: '枣庄', value: 84},
{name: '杭州', value: 84},
{name: '淄博', value: 85},
{name: '鞍山', value: 86},
{name: '溧阳', value: 86},
{name: '库尔勒', value: 86},
{name: '安阳', value: 90},
{name: '开封', value: 90},
{name: '济南', value: 92},
{name: '德阳', value: 93},
{name: '温州', value: 95},
{name: '九江', value: 96},
{name: '邯郸', value: 98},
{name: '临安', value: 99},
{name: '兰州', value: 99},
{name: '沧州', value: 100},
{name: '临沂', value: 103},
{name: '南充', value: 104},
{name: '天津', value: 105},
{name: '富阳', value: 106},
{name: '泰安', value: 112},
{name: '诸暨', value: 112},
{name: '郑州', value: 113},
{name: '哈尔滨', value: 114},
{name: '聊城', value: 116},
{name: '芜湖', value: 117},
{name: '唐山', value: 119},
{name: '平顶山', value: 119},
{name: '邢台', value: 119},
{name: '德州', value: 120},
{name: '济宁', value: 120},
{name: '荆州', value: 127},
{name: '宜昌', value: 130},
{name: '义乌', value: 132},
{name: '丽水', value: 133},
{name: '洛阳', value: 134},
{name: '秦皇岛', value: 136},
{name: '株洲', value: 143},
{name: '石家庄', value: 147},
{name: '莱芜', value: 148},
{name: '常德', value: 152},
{name: '保定', value: 153},
{name: '湘潭', value: 154},
{name: '金华', value: 157},
{name: '岳阳', value: 169},
{name: '长沙', value: 175},
{name: '衢州', value: 177},
{name: '廊坊', value: 193},
{name: '菏泽', value: 194},
{name: '合肥', value: 229},
{name: '武汉', value: 273},
{name: '大庆', value: 279}
];
const geoCoordMap = {
'海门':[121.15,31.89],
'鄂尔多斯':[109.781327,39.608266],
'招远':[120.38,37.35],
'舟山':[122.207216,29.985295],
'齐齐哈尔':[123.97,47.33],
'盐城':[120.13,33.38],
'赤峰':[118.87,42.28],
'青岛':[120.33,36.07],
'乳山':[121.52,36.89],
'金昌':[102.188043,38.520089],
'泉州':[118.58,24.93],
'莱西':[120.53,36.86],
'日照':[119.46,35.42],
'胶南':[119.97,35.88],
'南通':[121.05,32.08],
'拉萨':[91.11,29.97],
'云浮':[112.02,22.93],
'梅州':[116.1,24.55],
'文登':[122.05,37.2],
'上海':[121.48,31.22],
'攀枝花':[101.718637,26.582347],
'威海':[122.1,37.5],
'承德':[117.93,40.97],
'厦门':[118.1,24.46],
'汕尾':[115.375279,22.786211],
'潮州':[116.63,23.68],
'丹东':[124.37,40.13],
'太仓':[121.1,31.45],
'曲靖':[103.79,25.51],
'烟台':[121.39,37.52],
'福州':[119.3,26.08],
'瓦房店':[121.979603,39.627114],
'即墨':[120.45,36.38],
'抚顺':[123.97,41.97],
'玉溪':[102.52,24.35],
'张家口':[114.87,40.82],
'阳泉':[113.57,37.85],
'莱州':[119.942327,37.177017],
'湖州':[120.1,30.86],
'汕头':[116.69,23.39],
'昆山':[120.95,31.39],
'宁波':[121.56,29.86],
'湛江':[110.359377,21.270708],
'揭阳':[116.35,23.55],
'荣成':[122.41,37.16],
'连云港':[119.16,34.59],
'葫芦岛':[120.836932,40.711052],
'常熟':[120.74,31.64],
'东莞':[113.75,23.04],
'河源':[114.68,23.73],
'淮安':[119.15,33.5],
'泰州':[119.9,32.49],
'南宁':[108.33,22.84],
'营口':[122.18,40.65],
'惠州':[114.4,23.09],
'江阴':[120.26,31.91],
'蓬莱':[120.75,37.8],
'韶关':[113.62,24.84],
'嘉峪关':[98.289152,39.77313],
'广州':[113.23,23.16],
'延安':[109.47,36.6],
'太原':[112.53,37.87],
'清远':[113.01,23.7],
'中山':[113.38,22.52],
'昆明':[102.73,25.04],
'寿光':[118.73,36.86],
'盘锦':[122.070714,41.119997],
'长治':[113.08,36.18],
'深圳':[114.07,22.62],
'珠海':[113.52,22.3],
'宿迁':[118.3,33.96],
'咸阳':[108.72,34.36],
'铜川':[109.11,35.09],
'平度':[119.97,36.77],
'佛山':[113.11,23.05],
'海口':[110.35,20.02],
'江门':[113.06,22.61],
'章丘':[117.53,36.72],
'肇庆':[112.44,23.05],
'大连':[121.62,38.92],
'临汾':[111.5,36.08],
'吴江':[120.63,31.16],
'石嘴山':[106.39,39.04],
'沈阳':[123.38,41.8],
'苏州':[120.62,31.32],
'茂名':[110.88,21.68],
'嘉兴':[120.76,30.77],
'长春':[125.35,43.88],
'胶州':[120.03336,36.264622],
'银川':[106.27,38.47],
'张家港':[120.555821,31.875428],
'三门峡':[111.19,34.76],
'锦州':[121.15,41.13],
'南昌':[115.89,28.68],
'柳州':[109.4,24.33],
'三亚':[109.511909,18.252847],
'自贡':[104.778442,29.33903],
'吉林':[126.57,43.87],
'阳江':[111.95,21.85],
'泸州':[105.39,28.91],
'西宁':[101.74,36.56],
'宜宾':[104.56,29.77],
'呼和浩特':[111.65,40.82],
'成都':[104.06,30.67],
'大同':[113.3,40.12],
'镇江':[119.44,32.2],
'桂林':[110.28,25.29],
'张家界':[110.479191,29.117096],
'宜兴':[119.82,31.36],
'北海':[109.12,21.49],
'西安':[108.95,34.27],
'金坛':[119.56,31.74],
'东营':[118.49,37.46],
'牡丹江':[129.58,44.6],
'遵义':[106.9,27.7],
'绍兴':[120.58,30.01],
'扬州':[119.42,32.39],
'常州':[119.95,31.79],
'潍坊':[119.1,36.62],
'重庆':[106.54,29.59],
'台州':[121.420757,28.656386],
'南京':[118.78,32.04],
'滨州':[118.03,37.36],
'贵阳':[106.71,26.57],
'无锡':[120.29,31.59],
'本溪':[123.73,41.3],
'克拉玛依':[84.77,45.59],
'渭南':[109.5,34.52],
'马鞍山':[118.48,31.56],
'宝鸡':[107.15,34.38],
'焦作':[113.21,35.24],
'句容':[119.16,31.95],
'北京':[116.46,39.92],
'徐州':[117.2,34.26],
'衡水':[115.72,37.72],
'包头':[110,40.58],
'绵阳':[104.73,31.48],
'乌鲁木齐':[87.68,43.77],
'枣庄':[117.57,34.86],
'杭州':[120.19,30.26],
'淄博':[118.05,36.78],
'鞍山':[122.85,41.12],
'溧阳':[119.48,31.43],
'库尔勒':[86.06,41.68],
'安阳':[114.35,36.1],
'开封':[114.35,34.79],
'济南':[117,36.65],
'德阳':[104.37,31.13],
'温州':[120.65,28.01],
'九江':[115.97,29.71],
'邯郸':[114.47,36.6],
'临安':[119.72,30.23],
'兰州':[103.73,36.03],
'沧州':[116.83,38.33],
'临沂':[118.35,35.05],
'南充':[106.110698,30.837793],
'天津':[117.2,39.13],
'富阳':[119.95,30.07],
'泰安':[117.13,36.18],
'诸暨':[120.23,29.71],
'郑州':[113.65,34.76],
'哈尔滨':[126.63,45.75],
'聊城':[115.97,36.45],
'芜湖':[118.38,31.33],
'唐山':[118.02,39.63],
'平顶山':[113.29,33.75],
'邢台':[114.48,37.05],
'德州':[116.29,37.45],
'济宁':[116.59,35.38],
'荆州':[112.239741,30.335165],
'宜昌':[111.3,30.7],
'义乌':[120.06,29.32],
'丽水':[119.92,28.45],
'洛阳':[112.44,34.7],
'秦皇岛':[119.57,39.95],
'株洲':[113.16,27.83],
'石家庄':[114.48,38.03],
'莱芜':[117.67,36.19],
'常德':[111.69,29.05],
'保定':[115.48,38.85],
'湘潭':[112.91,27.87],
'金华':[119.64,29.12],
'岳阳':[113.09,29.37],
'长沙':[113,28.21],
'衢州':[118.88,28.97],
'廊坊':[116.7,39.53],
'菏泽':[115.480656,35.23375],
'合肥':[117.27,31.86],
'武汉':[114.31,30.52],
'大庆':[125.03,46.58]
};
const convertData = function (data) {
const res = [];
for (let i = 0; i < data.length; i++) {
const geoCoord = geoCoordMap[data[i].name];
if (geoCoord) {
res.push({
name: data[i].name,
value: geoCoord.concat(data[i].value)
});
}
}
return res;
};
const option = {
animation: !1,
GLMap: {},
series: [
{
name: '城市',
type: 'scatter',
coordinateSystem: 'GLMap',
data: convertData(data),
symbolSize: function (val) {
return val[2] / 20;
},
label: {
normal: {
formatter: '{b}',
position: 'right',
show: false
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: '#ddb926'
}
}
},
{
name: '前5',
type: 'effectScatter',
coordinateSystem: 'GLMap',
data: convertData(data.sort(function (a, b) {
return b.value - a.value;
}).slice(0, 6)),
symbolSize: function (val) {
return val[2] / 20;
},
showEffectOn: 'render',
rippleEffect: {
brushType: 'stroke'
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'right',
show: true
}
},
itemStyle: {
normal: {
color: '#f4e925',
shadowBlur: 10,
shadowColor: '#333'
}
},
zlevel: 1
}
]
};
cesiumUseEcharts(option);
viewer.camera.setView({
destination : Cesium.Cartesian3.fromDegrees(117.16, 32.71, 15000000.0)
});常规飞行路线图代码及其数据
const 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]
};
const XAData = [
[{name:'西安'}, {name:'北京',value:100}],
[{name:'西安'}, {name:'上海',value:100}],
[{name:'西安'}, {name:'广州',value:100}],
[{name:'西安'}, {name:'西宁',value:100}],
[{name:'西安'}, {name:'银川',value:100}]
];
const XNData = [
[{name:'西宁'}, {name:'北京',value:100}],
[{name:'西宁'}, {name:'上海',value:100}],
[{name:'西宁'}, {name:'广州',value:100}],
[{name:'西宁'}, {name:'西安',value:100}],
[{name:'西宁'}, {name:'银川',value:100}]
];
const YCData = [
[{name:'银川'}, {name:'北京',value:100}],
[{name:'银川'}, {name:'广州',value:100}],
[{name:'银川'}, {name:'上海',value:100}],
[{name:'银川'}, {name:'西安',value:100}],
[{name:'银川'}, {name:'西宁',value:100}],
];
const 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';
// const planePath = 'arrow';
const convertData = function (data) {
const res = [];
for (let i = 0; i < data.length; i++) {
const dataItem = data[i];
const fromCoord = geoCoordMap[dataItem[0].name];
const toCoord = geoCoordMap[dataItem[1].name];
if (fromCoord && toCoord) {
res.push({
fromName: dataItem[0].name,
toName: dataItem[1].name,
coords: [fromCoord, toCoord],
value: dataItem[1].value
});
}
}
return res;
};
const color = ['#a6c84c', '#ffa022', '#46bee9'];//航线的颜色
const series = [];
[['西安', XAData], ['西宁', XNData], ['银川', YCData]].forEach(function (item, i) {
series.push(
{
name: item[0] + ' Top3',
type: 'lines',
coordinateSystem: 'GLMap',
zlevel: 1,
effect: {
show: true,
period: 6,
trailLength: 0.7,
color: 'red', //arrow箭头的颜色
symbolSize: 3
},
lineStyle: {
normal: {
color: color[i],
width: 0,
curveness: 0.2
}
},
data: convertData(item[1])
},
{
name: item[0] + ' Top3',
type: 'lines',
coordinateSystem: 'GLMap',
zlevel: 2,
symbol: ['none', 'arrow'],
symbolSize: 10,
effect: {
show: true,
period: 6,
trailLength: 0,
symbol: planePath,
symbolSize: 15
},
lineStyle: {
normal: {
color: color[i],
width: 1,
opacity: 0.6,
curveness: 0.2
}
},
data: convertData(item[1])
},
{
name: item[0] + ' Top3',
type: 'effectScatter',
coordinateSystem: 'GLMap',
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],
},
emphasis: {
areaColor: '#2B91B7'
}
},
data: item[1].map(function (dataItem) {
return {
name: dataItem[1].name,
value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
};
})
});
});
const option = {
animation: !1,
GLMap: {},
series: series
};
cesiumUseEcharts(option);
viewer.camera.setView({
destination : Cesium.Cartesian3.fromDegrees(117.16, 32.71, 15000000.0)
});万佛朝宗代码及其数据
const chinaGeoCoordMap = {
'黑龙江': [127.9688, 45.368],
'内蒙古': [110.3467, 41.4899],
"吉林": [125.8154, 44.2584],
'北京市': [116.4551, 40.2539],
"辽宁": [123.1238, 42.1216],
"河北": [114.4995, 38.1006],
"天津": [117.4219, 39.4189],
"山西": [112.3352, 37.9413],
"陕西": [109.1162, 34.2004],
"甘肃": [103.5901, 36.3043],
"宁夏": [106.3586, 38.1775],
"青海": [101.4038, 36.8207],
"新疆": [87.9236, 43.5883],
"西藏": [91.11, 29.97],
"四川": [103.9526, 30.7617],
"重庆": [108.384366, 30.439702],
"山东": [117.1582, 36.8701],
"河南": [113.4668, 34.6234],
"江苏": [118.8062, 31.9208],
"安徽": [117.29, 32.0581],
"湖北": [114.3896, 30.6628],
"浙江": [119.5313, 29.8773],
"福建": [119.4543, 25.9222],
"江西": [116.0046, 28.6633],
"湖南": [113.0823, 28.2568],
"贵州": [106.6992, 26.7682],
"云南": [102.9199, 25.4663],
"广东": [113.12244, 23.009505],
"广西": [108.479, 23.1152],
"海南": [110.3893, 19.8516],
'上海': [121.4648, 31.2891]
};
const chinaDatas = [
[{
name: '黑龙江',
value: 0
}], [{
name: '内蒙古',
value: 0
}], [{
name: '吉林',
value: 0
}], [{
name: '辽宁',
value: 0
}], [{
name: '河北',
value: 0
}], [{
name: '天津',
value: 0
}], [{
name: '山西',
value: 0
}], [{
name: '陕西',
value: 0
}], [{
name: '甘肃',
value: 0
}], [{
name: '宁夏',
value: 0
}], [{
name: '青海',
value: 0
}], [{
name: '新疆',
value: 0
}],[{
name: '西藏',
value: 0
}], [{
name: '四川',
value: 0
}], [{
name: '重庆',
value: 0
}], [{
name: '山东',
value: 0
}], [{
name: '河南',
value: 0
}], [{
name: '江苏',
value: 0
}], [{
name: '安徽',
value: 0
}], [{
name: '湖北',
value: 0
}], [{
name: '浙江',
value: 0
}], [{
name: '福建',
value: 0
}], [{
name: '江西',
value: 0
}], [{
name: '湖南',
value: 0
}], [{
name: '贵州',
value: 0
}],[{
name: '广西',
value: 0
}], [{
name: '海南',
value: 0
}], [{
name: '上海',
value: 1
}]
];
const convertData = function(data) {
const res = [];
for(let i = 0; i < data.length; i++) {
const dataItem = data[i];
const fromCoord = chinaGeoCoordMap[dataItem[0].name];
const toCoord = [116.4551,40.2539];
if(fromCoord && toCoord) {
res.push([{
coord: fromCoord,
value: dataItem[0].value
}, {
coord: toCoord,
}]);
}
}
return res;
};
const series = [];
[['北京市', chinaDatas]].forEach(function(item, i) {
series.push(
{
type: 'lines',
coordinateSystem: 'GLMap',
zlevel: 2,
effect: {
show: true,
period: 4, //箭头指向速度，值越小速度越快
trailLength: 0.02, //特效尾迹长度[0,1]值越大，尾迹越长重
symbol: 'arrow', //箭头图标
symbolSize: 5, //图标大小
},
lineStyle: {
normal: {
width: 1, //尾迹线条宽度
opacity: 1, //尾迹线条透明度
color: '#00EAFF',//线的颜色
curveness: .3 //尾迹线条曲直度
}
},
data: convertData(item[1])
},
{
type: 'effectScatter',
coordinateSystem: 'GLMap',
zlevel: 2,
rippleEffect: { //涟漪特效
period: 4, //动画时间，值越小速度越快
brushType: 'stroke', //波纹绘制方式 stroke, fill
scale: 4 //波纹圆环最大限制，值越大波纹越大
},
label: {
normal: {
show: true,
position: 'right', //显示位置
offset: [5, 0], //偏移设置
formatter: function(params){//圆环显示文字
return params.data.name;
},
fontSize: 13
},
emphasis: {
show: true
}
},
symbol: 'circle',
symbolSize: function(val) {
return 5+ val[2] * 5; //圆环大小
},
itemStyle: {
normal: {
show: false,
color: '#32ff9d'//颜色
}
},
data: item[1].map(function(dataItem) {
return {
name: dataItem[0].name,
value: chinaGeoCoordMap[dataItem[0].name].concat([dataItem[0].value])
};
}),
},
//被攻击点
{
type: 'scatter',
coordinateSystem: 'GLMap',
zlevel: 2,
rippleEffect: {
period: 4,
brushType: 'stroke',
scale: 4
},
itemStyle: {
normal: {
color: '#ff0617'//颜色
}
},
label: {
normal: {
show: true,
position: 'right',
//offset:[5, 0],
color: '#0f0',
formatter: '{b}',
textStyle: {
color: "#0f0"
}
},
emphasis: {
show: true,
color: "#f60"
}
},
symbol: 'pin',
symbolSize: 50,
data: [{
name: item[0],
value: chinaGeoCoordMap[item[0]].concat([10]),
}],
}
);
});
option = {
animation: !1,
GLMap: {},
series: series
};
cesiumUseEcharts(option)
viewer.camera.setView({
destination : Cesium.Cartesian3.fromDegrees(117.16, 32.71, 15000000.0)
});前面提到的由于cesium的渲染报错，我所替换cesium.min.js文件内容，复制进去替换掉整个文件:
文件内容过大，提示说数字太多。将上传到资源里面，如果资源失效，请私信联系。
资源链接：（已经设置为0积分，取消了积分动态变化，如果需要积分下载，说明平台不要face了)
https://download.csdn.net/download/GhostPaints/85457027https://download.csdn.net/download/GhostPaints/85457027
欢迎分享，转载请注明来源：内存溢出
微信扫一扫
支付宝扫一扫
评论列表（0条）