This was done in the past because of the need for visualization in this area. I found a lot of information, and finally I feel that this effect is quite satisfactory.
Show results
Take the map of Jiangsu Province as an example below:
data preparation
For regions where you want to make 3D effects, you need to prepare the corresponding json file
It can be downloaded from this website, and the minimum granularity of the data can be specific to the county:
DataV.GeoAtlas geographic widget series
Only some pictures can be placed here, click the button in the picture to download
Instructions:
After clicking a certain area, the corresponding data will be provided on the right, just click to download
Code
The core of the code is the convertData method, which is used to combine geographic coordinates and data into an array.
Enter an array of the form
[
{
name: '扬州',
value: 1,
},
{
name: '泰州',
value: 8,
},
{
name: '徐州',
value: 4,
},
{
name: '南京',
value: 9,
},
{
name: '无锡',
value: 10,
}
]The method will output an array, each element of which contains a place name, the geographic coordinates corresponding to the place name, and the value corresponding to the place name.
The function first defines an empty array res, and then traverses each element in the input array data. For each element, the function first looks up the geographic coordinates corresponding to the element from the geoCoordMap object. If found, the place name, geographic coordinates and value of the element are combined into an array, and the array is added to res. Finally, the function outputs the res array and prints it out in the console.
Here is all the code directly:
<script>
import * as echarts from "echarts";
import "echarts-gl";
import jiangsu from "./jiangsu.json";
export default {
data() {
return {
};
},
mounted() {
this.getMap();
},
methods: {
convertData(data) {
let 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],
焦做: [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],
};
var res = [];
for (var i = 0; i < data.length; i++) {
var geoCoord = geoCoordMap[data[i].name];
if (geoCoord) {
res.push({
name: data[i].name,
value: geoCoord.concat(data[i].value),
});
}
}
console.log(res);
return res;
},
getMap() {
var myChart = echarts.init(document.getElementById("main"));
echarts.registerMap("jiangsu", jiangsu);
let option = {
tooltip: {},
visualMap: {
max: 10,
inRange: {
color: [
'#313695',
'#4575b4',
'#abd9e9',
'#e0f3f8',
'#ffffbf',
'#fee090',
'#fdae61',
'#f46d43',
'#d73027',
'#a50026'
]
}
},
geo3D: {
map: "jiangsu", //注册地图的名字
roam: true, //开启鼠标缩放和平移漫游。默认不开启
itemStyle: {
//整体板块的样式
color: "#4189f2", // 背景
opacity: 1, //透明度
borderWidth: 0.4, // 边框宽度
borderColor: "#fff", // 边框颜色
},
//地图区域标签
label: {
show: true,
textStyle: {
color: "#00ff7f", //地图初始化区域字体颜色
fontSize: 8,
opacity: 1,
},
formatter: function (params) {
return params.name
},
},
//光照阴影
shading: "lambert",
light: {
main: {
color: "#fff", //光照颜色
intensity: 1, //光照强度
//shadowQuality: 'high', //阴影亮度
shadow: true, //是否显示阴影
alpha: 60,
beta: 10,
},
ambient: {
intensity: 0.3,
},
},
//用于鼠标控制地图旋转等功能
viewControl: {
// 用于鼠标的旋转，缩放等视角控制。
projection: "perspective", // 投影方式，默认为透视投影'perspective'，也支持设置为正交投影'orthographic'。
autoRotate: true, // 是否开启视角绕物体的自动旋转查看。[ default: false ]
autoRotateDirection: "cw", // 物体自传的方向。默认是 'cw' 也就是从上往下看是顺时针方向，也可以取 'ccw'，既从上往下看为逆时针方向。
autoRotateSpeed: 10, // 物体自传的速度。单位为角度 / 秒，默认为10 ，也就是36秒转一圈。
autoRotateAfterStill: 3, // 在鼠标静止操作后恢复自动旋转的时间间隔。在开启 autoRotate 后有效。[ default: 3 ]
damping: 0, // 鼠标进行旋转，缩放等操作时的迟滞因子，在大于等于 1 的时候鼠标在停止操作后，视角仍会因为一定的惯性继续运动（旋转和缩放）。[ default: 0.8 ]
rotateSensitivity: 10, // 旋转操作的灵敏度，值越大越灵敏。支持使用数组分别设置横向和纵向的旋转灵敏度。默认为1, 设置为0后无法旋转。 rotateSensitivity: [1, 0]——只能横向旋转； rotateSensitivity: [0, 1]——只能纵向旋转。
zoomSensitivity: 10, // 缩放操作的灵敏度，值越大越灵敏。默认为1,设置为0后无法缩放。
panSensitivity: 10, // 平移操作的灵敏度，值越大越灵敏。默认为1,设置为0后无法平移。支持使用数组分别设置横向和纵向的平移灵敏度
panMouseButton: "left", // 平移操作使用的鼠标按键，支持：'left' 鼠标左键（默认）;'middle' 鼠标中键 ;'right' 鼠标右键(注意：如果设置为鼠标右键则会阻止默认的右键菜单。)
rotateMouseButton: "left", // 旋转操作使用的鼠标按键，支持：'left' 鼠标左键;'middle' 鼠标中键（默认）;'right' 鼠标右键(注意：如果设置为鼠标右键则会阻止默认的右键菜单。)
distance: 130, // [ default: 100 ] 默认视角距离主体的距离，对于 grid3D 和 geo3D 等其它组件来说是距离中心原点的距离,对于 globe 来说是距离地球表面的距离。在 projection 为'perspective'的时候有效。
minDistance: 40, // [ default: 40 ] 视角通过鼠标控制能拉近到主体的最小距离。在 projection 为'perspective'的时候有效。
maxDistance: 145, // [ default: 400 ] 视角通过鼠标控制能拉远到主体的最大距离。在 projection 为'perspective'的时候有效。
alpha: 40, // 视角绕 x 轴，即上下旋转的角度。配合 beta 可以控制视角的方向。[ default: 40 ]
beta: 15, // 视角绕 y 轴，即左右旋转的角度。[ default: 0 ]
minAlpha: -720, // 上下旋转的最小 alpha 值。即视角能旋转到达最上面的角度。[ default: 5 ]
maxAlpha: 720, // 上下旋转的最大 alpha 值。即视角能旋转到达最下面的角度。[ default: 90 ]
minBeta: -720, // 左右旋转的最小 beta 值。即视角能旋转到达最左的角度。[ default: -80 ]
maxBeta: 720, // 左右旋转的最大 beta 值。即视角能旋转到达最右的角度。[ default: 80 ]
center: [0, 0, 0], // 视角中心点，旋转也会围绕这个中心点旋转，默认为[0,0,0]。左右 上下 前后
animation: true, // 是否开启动画。[ default: true ]
animationDurationUpdate: 1000, // 过渡动画的时长。[ default: 1000 ]
animationEasingUpdate: "cubicInOut", // 过渡动画的缓动效果。[ default: cubicInOut ]
},
silent: false,
regionHeight: 2, //修改整个地图的三维高度
},
series: [
{
name: 'bar3D',
type: 'bar3D',
coordinateSystem: 'geo3D',
barSize: 2, //柱子粗细
shading: 'lambert',
opacity: 1,
bevelSize: 0.4,
emphasis: {
label: {
fontSize: 16,
borderWidth: 1
},
itemStyle: {
color: '#900'
}
},
data: this.convertData([
{
name: '扬州',
value: 1,
},
{
name: '泰州',
value: 8,
},
{
name: '徐州',
value: 4,
},
{
name: '南京',
value: 9,
},
{
name: '无锡',
value: 10,
}
]),
},
],
};
myChart.setOption(option);
},
}
};
</script>
<template>
<div>
<div
id="main"
ref="chart"
style="width: 100vw; height: 100vh"
></div>
</div>
</template>