我的代码:echatrs地图流线导图

237 阅读2分钟

没啥好备注的,主要是阴影,用两个地图叠加起来就好了--官网demo链接: echarts.apache.org/examples/zh…

<!DOCTYPE html>
<html>
	<head>
		<meta charset="utf-8" />
		<title>地图导图</title>
		<script src="http://ajax.aspnetcdn.com/ajax/jQuery/jquery-1.8.0.js"></script>
		<script src="./js/echarts.js"></script>
		<style>
			.echarts{
				width:1005px;
				height: 1070px;
				border:1px solid black
			}
		</style>
	</head>
	<body>
		<div class="echarts" id="demo"></div>
	</body>
	<script>
		window.onload=function(){
			new Map({
				_id:'demo',
				_data:['北京',[
				    [{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}]
				]]
			})
		}
		class Map{
			constructor(params){
				this.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]
				}
				this._color = ['#ef4d4d','#ee952f','#60a874','#94afd5']
				this.render(params._id,params._data)
			}
			setSeries(data){
				let _this = this;
				let $series = [{
					type: 'map',
	    			map: 'china',
			        label: {
			            show: false
			        },
			        roam: false,
			        itemStyle: {
			            areaColor: '#d0dff5',
			            borderColor: '#fff',
			            borderWidth:2
			        },
			        label:{
			        	show:true,
			        	color:'#333',
			        	fontSize:15,
			        	
			        },
			        emphasis:{
			        	label:{
			        		color:'#333'
			        	},
			        	itemStyle:{
			        		areaColor: '#d0dff5',
			        	}
			        }
				}]
				$series.push({
					name:'',
			        type: 'lines',
			        zlevel: 2,
			        symbol: ['none', 'arrow'],
			        symbolSize: 10,
			        lineStyle: {
			            width: 2,
			            opacity: 0.6,
			            curveness: 0.2
			        },
			        data: _this.convertData(data[1])
			    },{
			        name: '',
			        type: 'effectScatter',
			        coordinateSystem: 'geo',
			        zlevel: 2,
			        rippleEffect: {
			            brushType: 'stroke'
			        },
			        label: {
			            show: false,
			            position: 'bottom',
			            formatter: '{b}',
			            color:'#333',
			            fontSize:''
			        },
			        symbolSize: val=>{
			            return val[2] / 5;
			        },
			        data: data[1].map((dataItem,index)=> {
			            return {
			            	itemStyle:{
			            		color: _this.getColor(index)
			            	},
			                name: dataItem[1].name,
			                value: _this.geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
			            };
			        })
			    })
				return $series
			}
			getColor(index){
				let $color;
				if(index<3){
		    		$color = this._color[index]
		    	}else{
		    		$color = this._color[3]
		    	}
		    	return $color
			}
			convertData(data){
			 	let res = [];
			    for (var i = 0; i < data.length; i++) {
			        var dataItem = data[i];
			        var fromCoord = this.geoCoordMap[dataItem[0].name];
			        var toCoord = this.geoCoordMap[dataItem[1].name];
			        if (fromCoord && toCoord) {
			            res.push({
			                fromName: dataItem[0].name,
			                toName: dataItem[1].name,
			                coords: [fromCoord, toCoord],
			                lineStyle: {
					    		color:this.getColor(i)
					    	}
			            });
			        }
			    }
			    return res;
			}
			render(_id,_data){
				let _this = this
				_this.myChart = echarts.init(document.getElementById(_id));
				window.onresize = ()=>{
					_this.myChart.resize()
				}
				_this.reload(_this.setSeries(_data))
			}
			reload($series){
				let _this = this
				$.get('./map/china.json', function (json) {
					echarts.registerMap('china', json); 
					let option = {
						geo: {
					        map: 'china',
					        label: {
					            show: false
					        },
					        roam: false,
					        itemStyle: {
					            areaColor: '#d0dff5',
					            borderColor: '#fff',
					            shadowColor:'#8aa8d5',
					            shadowBlur: 0,
					            shadowOffsetY:10
					        },
					        regions:[{
					        	name: "南海诸岛",
					            value: 0,
					            itemStyle: {
					               normal: {
						               opacity: 0,
						               label: {
						                  show: false
						                }
						              }
					            }
					        }]
					   },
						series:$series
					}
					debugger
					_this.myChart.setOption(option);
			  	});
			}
		}
	</script>
</html>