可视化模拟航线

news2024/10/6 6:40:46

效果图

前言

新社区

将模拟航线引入到自己的html页面中

创建容器

初始化echarts实例对象

配置项给echarts

效果图

前言

模拟航线为echarts社区里面的大佬制作，由于2022.7.28，echarts的社区停止了，所以本文是为了方便直接使用，不用让大家去找，附上源码

新社区

新社区地址大家可以自行查询使用

新社区地址：

https://www.makeapie.cn/echarts

将模拟航线引入到自己的html页面中

创建容器

注意，必须写行内样式

<div class="char"style="width: 500px;height: 500px;"></div>

初始化echarts实例对象

最关键的一步，直接复制粘贴食用即可

 const mycharts = echarts.init(document.querySelector(' .char'))
  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]
};

var XAData = [
    [{name:'广州'}, {name:'北京',value:100}],
    [{name:'北京'}, {name:'上海',value:100}],
    [{name:'北京'}, {name:'广州',value:100}],
    [{name:'西安'}, {name:'西宁',value:100}],
    [{name:'杭州'}, {name:'银川',value:100}]
];

var XNData = [
    [{name:'南京'}, {name:'北京',value:100}],
    [{name:'南昌'}, {name:'上海',value:100}],
    [{name:'武汉'}, {name:'广州',value:100}],
    [{name:'杭州'}, {name:'西安',value:100}],
    [{name:'北京'}, {name:'银川',value:100}]
];

var YCData = [
    [{name:'苏州'}, {name:'北京',value:100}],
    [{name:'阜阳'}, {name:'广州',value:100}],
    [{name:'广州'}, {name:'上海',value:100}],
    [{name:'合肥'}, {name:'西安',value:100}],
    [{name:'银川'}, {name:'西宁',value:100}],
];

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';
//var planePath = 'arrow';
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],
                value: dataItem[1].value
            });
        }
    }
    return res;
     
};

var color = ['#a6c84c', '#ffa022', '#46bee9'];//航线的颜色
var series = [];
[['西安', XAData], ['西宁', XNData], ['银川', YCData]].forEach(function (item, i) {  
    series.push({
        name: item[0] + ' Top3',
        type: 'lines',
        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',
        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: '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],
          },
          emphasis: {
              areaColor: '#2B91B7'
          }
        },
        data: item[1].map(function (dataItem) {
            return {
                name: dataItem[1].name,
                value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
            };
        })
    });
});
var option = {
    tooltip : {
        trigger: 'item', 
        formatter:function(params, ticket, callback){
            if(params.seriesType=="effectScatter") {
                return "线路："+params.data.name+""+params.data.value[2];
            }else if(params.seriesType=="lines"){
                return params.data.fromName+">"+params.data.toName+"<br />"+params.data.value;
            }else{
                return params.name;
            }
        } 
    },
    geo: {
        map: 'china',
        zoom:1.2,
        label: {
            emphasis: {
                show: true,
                color:'#fff'
            }
        },
        roam: true,
        itemStyle: {
          normal: {
              areaColor: '#142957',
              borderColor: '#0692a4',
              borderWidth: 1,
          },
          emphasis: {
              areaColor: '#0b1c2d'
          }
        }
    },
    series: series
};