掌握React与TypeScript:从零开始绘制中国地图

最近我需要使用react+ts绘制一个界面,里面需要以中国地图的形式展示区块链从2019-2024年这五年的备案以及注销情况,所以研究了一下这方面的工作,初步有了一些成果,所以现在做一些分享,希望对大家有帮助!
在这篇博客中,我们将介绍如何使用 React 和 TypeScript 绘制中国地图。教程分为三个部分:介绍 GeoJSON 文件,使用 React 封装 ChinaMap 组件,以及分享遇到的坑和解决方法。

1.GeoJSON 简介与基础语法

1.什么是 GeoJSON?

GeoJSON 是一种基于 JSON(JavaScript Object Notation)格式的开放标准,用于表示各种地理数据结构。它可以表示点、线、多边形以及多点、多线、多边形集合等复杂的地理数据类型。GeoJSON 广泛用于 Web 地图应用程序中,因其易读性和与 JSON 的兼容性而受到欢迎。

2.GeoJSON 的基本结构

一个典型的 GeoJSON 文件包括以下几个部分:

  1. FeatureCollection:一个要素集合,用于包含多个地理要素。
  2. Feature:一个单独的地理要素,包含几何数据和属性信息。
  3. Geometry:几何数据,可以是点、线、多边形等。
  4. Properties:属性信息,用于描述几何数据的属性。

下面是一个基本的 GeoJSON 示例,包含一个多边形(Polygon):

{"type": "FeatureCollection","features": [{"type": "Feature","properties": {"name": "中国"},"geometry": {"type": "Polygon","coordinates": [[[73.5, 18.2],[135.1, 18.2],[135.1, 53.6],[73.5, 53.6],[73.5, 18.2]]]}}]
}

3.GeoJSON 基础语法

  1. FeatureCollection

    FeatureCollection 是 GeoJSON 文件的顶级对象,用于包含多个 Feature

    {"type": "FeatureCollection","features": [// 这里包含多个 Feature 对象]
    }
    
  2. Feature

    Feature 是一个包含几何数据和属性的对象。每个 Feature 都有一个 geometry 和一个 properties 对象。

    {"type": "Feature","properties": {"name": "某地名"},"geometry": {"type": "Polygon", // 几何类型,可以是 Point, LineString, Polygon 等"coordinates": [// 坐标数组,根据几何类型不同格式也不同]}
    }
    
  3. Geometry

    Geometry 包含地理要素的几何数据,主要有以下几种类型:

    • Point:表示一个点。

      {"type": "Point","coordinates": [102.0, 0.5]
      }
      
    • LineString:表示一条线,由一系列坐标点组成。

      {"type": "LineString","coordinates": [[102.0, 0.0],[103.0, 1.0],[104.0, 0.0],[105.0, 1.0]]
      }
      
    • Polygon:表示一个多边形,由一系列坐标点组成的闭合环。

      {"type": "Polygon","coordinates": [[[100.0, 0.0],[101.0, 0.0],[101.0, 1.0],[100.0, 1.0],[100.0, 0.0]]]
      }
      
    • MultiPoint:表示多个点。

      {"type": "MultiPoint","coordinates": [[100.0, 0.0],[101.0, 1.0]]
      }
      
    • MultiLineString:表示多条线。

      {"type": "MultiLineString","coordinates": [[[100.0, 0.0],[101.0, 1.0]],[[102.0, 2.0],[103.0, 3.0]]]
      }
      
    • MultiPolygon:表示多个多边形。

      {"type": "MultiPolygon","coordinates": [[[[100.0, 0.0],[101.0, 0.0],[101.0, 1.0],[100.0, 1.0],[100.0, 0.0]]],[[[102.0, 2.0],[103.0, 2.0],[103.0, 3.0],[102.0, 3.0],[102.0, 2.0]]]]
      }
      
  4. Properties

    Properties 是一个对象,用于描述几何数据的属性,可以包含任意的键值对。

    {"properties": {"name": "某地名","population": 1000000}
    }
    

4.GeoJSON 常见应用场景

  1. 地图绘制:GeoJSON 常用于 Web 地图应用中,用于绘制地理边界、标记点和路线等。
  2. 地理数据分析:GeoJSON 可以与 GIS(地理信息系统)结合,用于空间数据分析和可视化。
  3. 数据交换:GeoJSON 是一种标准化的数据格式,适用于地理数据的交换和共享。

通过以上内容,应该对 GeoJSON 有了一个初步的了解。
接下来,我们可以继续学习如何在 React 项目中使用 GeoJSON 数据绘制中国地图。

2.用React封装ChinaMap组件

1.下载echarts

使用npm或者yarn下载echarts
1.npm下载

npm install echarts

2.yarn下载

yarn add echarts

2.下载china地图的jeojson

由第一部分介绍可知,GeoJSON是一种以json形式表示地理位置的文件,常用于地图的绘制。
因此,如果要绘制中国地图,从GeoJSON的角度出发,就是需要构建一个FeatureCollection对象,里面包含多个Feature对象,每一个Feature都是一个Polygon多边形。
具体的json文件可以去阿里的阿里可视化中心下载。
我这里直接给出对应的china.json文件,具体如下:

{"type": "FeatureCollection","features": [{"type": "Feature","id": "xin_jiang","properties": {"name": "新疆","cp": [84.9023, 41.748],"childNum": 18},"geometry": {"type": "Polygon","coordinates": [[[96.416, 42.7588],[96.416, 42.7148],[95.9766, 42.4951],[96.0645, 42.3193],[96.2402, 42.2314],[95.9766, 41.9238],[95.2734, 41.6162],[95.1855, 41.792],[94.5703, 41.4844],[94.043, 41.0889],[93.8672, 40.6934],[93.0762, 40.6494],[92.6367, 39.6387],[92.373, 39.3311],[92.373, 39.1113],[92.373, 39.0234],[90.1758, 38.4961],[90.3516, 38.2324],[90.6152, 38.3203],[90.5273, 37.8369],[91.0547, 37.4414],[91.3184, 37.0898],[90.7031, 36.7822],[90.791, 36.6064],[91.0547, 36.5186],[91.0547, 36.0791],[90.8789, 36.0352],[90, 36.2549],[89.9121, 36.0791],[89.7363, 36.0791],[89.209, 36.2988],[88.7695, 36.3428],[88.5938, 36.4746],[87.3633, 36.4307],[86.2207, 36.167],[86.1328, 35.8594],[85.6055, 35.6836],[85.0781, 35.7275],[84.1992, 35.376],[83.1445, 35.4199],[82.8809, 35.6836],[82.4414, 35.7275],[82.002, 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25.3125],[121.9043, 25.0488]]]}},{"type": "Feature","id": "bei_jing","properties": {"name": "北京","cp": [116.4551, 40.2539],"childNum": 19},"geometry": {"type": "Polygon","coordinates": [[[117.4219, 40.21],[117.334, 40.1221],[117.2461, 40.0781],[116.8066, 39.9902],[116.8945, 39.8145],[116.8945, 39.6826],[116.8066, 39.5947],[116.543, 39.5947],[116.3672, 39.4629],[116.1914, 39.5947],[115.752, 39.5068],[115.4883, 39.6387],[115.4004, 39.9463],[115.9277, 40.2539],[115.752, 40.5615],[116.1035, 40.6055],[116.1914, 40.7813],[116.4551, 40.7813],[116.3672, 40.9131],[116.6309, 41.0449],[116.9824, 40.6934],[117.4219, 40.6494],[117.2461, 40.5176],[117.4219, 40.21]]]}},{"type": "Feature","id": "tian_jin","properties": {"name": "天津","cp": [117.4219, 39.4189],"childNum": 18},"geometry": {"type": "Polygon","coordinates": [[[116.8066, 39.5947],[116.8945, 39.6826],[117.1582, 39.6387],[117.1582, 39.8145],[117.2461, 40.0781],[117.334, 40.1221],[117.4219, 40.21],[117.6855, 40.0781],[117.6855, 39.9902],[117.5098, 39.9902],[117.5098, 39.7705],[117.6855, 39.5947],[117.9492, 39.5947],[117.8613, 39.4189],[118.0371, 39.2432],[118.0371, 39.1992],[117.8613, 39.1113],[117.5977, 38.6279],[117.2461, 38.54],[116.7188, 38.8037],[116.7188, 38.9355],[116.8945, 39.1113],[116.8066, 39.5947]]]}},{"type": "Feature","id": "shang_hai","properties": {"name": "上海","cp": [121.4648, 31.2891],"childNum": 19},"geometry": {"type": "Polygon","coordinates": [[[120.9375, 31.0254],[121.2012, 31.4648],[121.377, 31.5088],[121.1133, 31.7285],[121.2012, 31.8604],[121.9922, 31.5967],[121.9043, 31.1572],[121.9922, 30.8057],[121.2891, 30.6738],[120.9375, 31.0254]]]}},{"type": "Feature","id": "xiang_gang","properties": {"name": "香港","cp": [114.2578, 22.3242],"childNum": 1},"geometry": {"type": "Polygon","coordinates": [[[114.6094, 22.4121],[114.5215, 22.1484],[114.3457, 22.1484],[113.9063, 22.1484],[113.8184, 22.1924],[113.9063, 22.4121],[114.1699, 22.5439],[114.3457, 22.5439],[114.4336, 22.5439],[114.4336, 22.4121],[114.6094, 22.4121]]]}},{"type": "Feature","id": "ao_men","properties": {"name": "澳门","cp": [113.5547, 22.1484],"childNum": 1},"geometry": {"type": "Polygon","coordinates": [[[113.5986, 22.1649],[113.6096, 22.1265],[113.5547, 22.11],[113.5437, 22.2034],[113.5767, 22.2034],[113.5986, 22.1649]]]}}]
}

在这里插入图片描述

3.ChinaMap子组件封装

这部分代码中,我下载的china.json文件和tsx文件在同一目录下,因此可以直接使用import china from ‘./china.json’;导入,具体的导入需要根据你下载的china.json存储路径来修改!

import china from './china.json';
import * as echarts from 'echarts'; //全局引入 ,可按需引入
import { useEffect, useRef } from 'react';const ChinaMap = (props) => {const chartRef = useRef();const topNumber = props.data[0].value;const bottomNumber = props.data[props.data.length - 1].value;const echartsMapClick = () => {//点击地图模块逻辑事件};const mapOption = (mapName, data) => {const myChart = echarts.init(chartRef.current);echarts.registerMap(mapName, data);const option = {tooltip: {backgroundColor: 'rgba(21, 24, 45, 0.9)', // 提示框浮层的背景颜色。textStyle: {// 提示框浮层的文本样式。color: '#fff',fontSize: 14,},extraCssText: 'border-color: rgba(21, 24, 45, 0.9);',formatter: function (params) {//数据格式化const val = params.value ? params.value : 0;if (params.value) {return (params.name + '<br />' + params.seriesName + ':' + val);} else {return '暂无数据';}},},visualMap: {min: 0,max: topNumber,left: 'left',top: 'bottom',text: [topNumber, bottomNumber ], //取值范围的文字inRange: {color: ['#D2DDFF', '#6E92FF'], //取值范围的颜色},show: true, //图注},geo: {map: 'china',roam: false, //不开启缩放和平移zoom: 1.23, //视角缩放比例label: {normal: {show: true,fontSize: '10',color: 'rgba(0,0,0,0.7)',},},itemStyle: {normal: {borderColor: 'rgba(0, 0, 0, 0.2)',},emphasis: {areaColor: '#4BD6C7', //鼠标选择区域颜色shadowOffsetX: 0,shadowOffsetY: 0,shadowBlur: 20,borderWidth: 0,shadowColor: 'rgba(0, 0, 0, 0.5)',},},},series: [{name:'人口',type: 'map',geoIndex: 0,data: props.data,},],};myChart.setOption(option); //绘图//点击画布内还是画布外myChart.getZr().on('click', (params) => {if (params.target) {myChart.on('click', echartsMapClick); //增加点击事件}});};const loadingChina = () => {mapOption('china', china); //初始化-创建中国地图};useEffect(() => {loadingChina();}, [props.data]);return <div style={{ width: '100%', minHeight: '500px' }} ref={chartRef} />;
};
export default ChinaMap;
4.父组件应用

创建一个新的React组件,直接在return中返回地图组件,但是需要带上数据!

// 使用 Map
<ChainMap data={dataList} />

具体的数据格式按照

const list = [{'name':'武汉','value':20000},{'name':'重庆','value':4000}];
5.效果展示

在这里插入图片描述

3.遇到的坑和解决方法

  1. 地图无法显示:确保 leaflet.css 被正确引入,且容器的高度和宽度被设置(例如通过 style 属性)。

  2. GeoJSON 数据格式问题:如果 GeoJSON 数据格式不正确,地图可能不会显示。确保你的 GeoJSON 文件是有效的,可以使用 GeoJSONLint 来验证。

  3. 地图中心和缩放级别:根据你的需要调整地图的中心点和缩放级别。在中国地图的例子中,我们选择了 [35.86166, 104.195397] 作为中心点,缩放级别为 4

  4. 性能问题:如果 GeoJSON 数据非常大,可能会导致性能问题。可以考虑简化 GeoJSON 数据或使用 react-leaflet 提供的其他优化技术。

上面这些问题我倒是没遇到,但是我渲染完数据之后,发现有时候加载地图那个界面有时候会加载不出来,经过排查后发现:问题出现在这一段代码中

visualMap: {min: 0,max: topNumber,left: 'left',top: 'bottom',text: [topNumber, bottomNumber ], //取值范围的文字inRange: {color: ['#D2DDFF', '#6E92FF'], //取值范围的颜色},show: true, //图注}

为什么会出现上面的问题呢,因为,后面接入系统后,地图中的数据是通过请求后端接口获得的,而如果有时候因为各种原因后端没有及时返回数据,那么这个max:topNumber 就没有对应的数值,那么加载地图就会直接报错

SyntaxError: Failed to execute 'addColorStop' on 'CanvasGradient': The value provided ('undefined') could not be parsed as a color.

在这里插入图片描述
具体解决方法,在给topNumber赋值时,不要直接给它赋值,要考虑如果后端没有获取到数据的i情况,具体如下所示:

  const values = props.data.map((item) => item.value);const hasValues = values.length > 0;const topNumber = hasValues ? Math.max(...values) : 0;const bottomNumber = hasValues ? Math.min(...values) : 0;

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