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Echarts迁徙图与地图上绘制散点

程序员文章站 2022-05-22 13:11:39
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echarts.min.js文件下载

china.js文件下载(提取码: aj9i)

1.地图上绘制散点

<!DOCTYPE html>
<html>
<head>
    <meta charset="UTF-8"/>
    <title>Scatter Map</title>
</head>
<script src="js/echarts.min.js"></script>
<script src="js/china.js"></script>
<body>
<div id="scatterMap" style="width: 1400px;height:800px;"></div>
</body>

<script>
    // 散点地图
    scatterMap()

    function scatterMap() {
        var scatterMapChart = echarts.init(document.getElementById('scatterMap'));
        // 输入数据,经度,维度,值
        var data = [
            {name: '北京', value: [116.39, 39.90, 200]},
            {name: '上海', value: [121.506377, 31.245105, 150]},
            {name: '深圳', value: [113.554680, 22.323643, 100]},
            {name: '武汉', value: [114.31, 30.52, 50]},
        ]
        var option = {
            // geo为地理坐标系组件
            geo: {
                // 地图类型
                map: 'china',
                // 开启鼠标缩放和平移漫游
                roam: true,
                // 地图区域的多边形图形样式
                itemStyle: {
                    normal: {
                        // 每个省的颜色
                        areaColor: '#6495ED',
                        // 省分割线的颜色
                        borderColor: '#000000'
                    },
                    emphasis: {
                        // 高亮的颜色
                        areaColor: '#FFD700'
                    }
                }
            },
            backgroundColor: '#FAFAD2',
            series: [
                {
                    name: '城市散点数据模拟',
                    type: 'scatter',
                    // 该系列选用地理坐标系
                    coordinateSystem: 'geo',
                    data: data,
                    // 散点大小
                    symbolSize: 12
                }
            ],
            // 视觉映射
            visualMap: {
                min: 0,
                max: 200,
                calculable: true,
                inRange: {
                    // 颜色变化区间
                    color: ['#008000', '#FFFF00', '#FF0000']
                },
                textStyle: {
                    color: '#000000'
                }
            }
        }
        scatterMapChart.setOption(option);
    }
</script>
</html>

效果图:

Echarts迁徙图与地图上绘制散点

2.迁徙图

这里主要对这个官网案例进行讲解:
https://echarts.apache.org/examples/zh/editor.html?c=geo-lines

<!DOCTYPE html>
<html>
<head>
    <meta charset="UTF-8"/>
    <title>Migration Map</title>
</head>
<script src="js/echarts.min.js"></script>
<script src="js/china.js"></script>
<body>
<div id="migrationMap" style="width: 1400px;height:800px;"></div>
</body>

<script>
    // 迁徙图
    migrationMap()

    function migrationMap() {
        var migrationMapChart = echarts.init(document.getElementById('migrationMap'));

        // 城市经纬度数据
        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]
        };
        // 离开北京的数据
        var BJData = [
            [{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}]
        ];
        // 离开上海的数据
        var SHData = [
            [{name: '上海'}, {name: '包头', value: 95}],
            [{name: '上海'}, {name: '昆明', value: 90}],
            [{name: '上海'}, {name: '广州', value: 80}],
            [{name: '上海'}, {name: '郑州', value: 70}],
            [{name: '上海'}, {name: '长春', value: 60}],
            [{name: '上海'}, {name: '重庆', value: 50}],
            [{name: '上海'}, {name: '长沙', value: 40}],
            [{name: '上海'}, {name: '北京', value: 30}],
            [{name: '上海'}, {name: '丹东', value: 20}],
            [{name: '上海'}, {name: '大连', value: 10}]
        ];
        // 离开广州的数据
        var GZData = [
            [{name: '广州'}, {name: '福州', value: 95}],
            [{name: '广州'}, {name: '太原', value: 90}],
            [{name: '广州'}, {name: '长春', value: 80}],
            [{name: '广州'}, {name: '重庆', value: 70}],
            [{name: '广州'}, {name: '西安', value: 60}],
            [{name: '广州'}, {name: '成都', value: 50}],
            [{name: '广州'}, {name: '常州', value: 40}],
            [{name: '广州'}, {name: '北京', value: 30}],
            [{name: '广州'}, {name: '北海', value: 20}],
            [{name: '广州'}, {name: '海口', value: 10}]
        ];

        // 矢量图小图标,可以在(https://www.iconfont.cn/)下载需要的图标,这里给一个小汽车的图标
        // var planePath = 'path://M1136.047896 339.882267C1112.706905 143.149344 1017.345943-0.2756 900.268988 0.0004L358.6862 1.290399c-117.106954 0.276-211.762917 144.067944-234.275909 340.954867C42.146324 391.197247-0.27366 490.974208 0.00134 606.394163c0.184 85.699967 24.016991 162.533937 69.902973 216.394916l0.46 191.364925 212.804916-0.49-0.276-112.077956 697.337728-1.687 0.276 112.076957 212.805917-0.521-0.46-191.364925c45.639982-54.014979 69.134973-131.001949 68.919973-216.700916-0.245-115.205955-43.185983-214.890916-125.725951-263.506897zM358.9312 74.320371l541.583788-1.289c75.392971-0.184 141.491945 101.98596 166.489935 240.563907-11.532995-2.299999-23.648991-3.709999-36.193986-4.446999 0-0.307 0.338-0.92 0.062-0.889999-101.89396 0.246-70.055973 0.154-141.799944 0.337999s-46.559982 0.092-118.118954 0.276l-523.669796 1.257c-19.016993 0.031-36.990986 2.085999-53.983979 5.551998C217.807255 176.920331 283.538229 74.473371 358.9312 74.320371zM218.298255 702.030126c-46.590982 0.092-84.317967-42.787983-84.440967-95.973963-0.123-53.093979 37.419985-96.249962 83.980967-96.372962 46.376982-0.092 84.103967 42.879983 84.256967 95.974962 0.123 53.277979-37.389985 96.249962-83.796967 96.371963z m656.972743-18.126993l-488.365809 0.583c-76.12997 0.184-77.78597-131.124949-0.307-131.308949l488.366809-1.166c71.219972-0.184 71.527972 131.707949 0.306 131.891949z m168.667934 16.133994c-46.468982 0.122-84.195967-42.757983-84.318967-95.943963-0.122-53.093979 37.419985-96.279962 83.858967-96.372962 46.499982-0.122 84.256967 42.849983 84.379967 95.973962 0.03 53.278979-37.450985 96.280962-83.919967 96.342963z';
        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';

        // 转换数据格式,将数据将上上面的Data数据加上经纬度
        var convertData = function (data) {
            var res = [];
            for (var i = 0; i < data.length; i++) {
                var dataItem = data[i];
                // 出发城市的经纬度
                var fromCoord = geoCoordMap[dataItem[0].name];
                // 到达城市的经纬度
                var toCoord = geoCoordMap[dataItem[1].name];
                // 如果都有对应的值,则生成下面一个json数组
                if (fromCoord && toCoord) {
                    res.push({
                        fromName: dataItem[0].name,
                        toName: dataItem[1].name,
                        coords: [fromCoord, toCoord]
                    });
                }
            }
            return res;
        };

        // 航线颜色
        var color = ['#a6c84c', '#ffa022', '#46bee9'];
        var series = [];
        [['北京', BJData], ['上海', SHData], ['广州', GZData]].forEach(function (item, i) {

            series.push({
                    name: item[0] + ' Top10',
                    type: 'lines',
                    zlevel: 1,
                    // 线特效的配置
                    effect: {
                        show: true,
                        // 特效动画的时间
                        period: 6,
                        // 特效尾迹的长度
                        trailLength: 0.7,
                        // 特效标记的颜色
                        color: '#fff',
                        // 特效标记的大小
                        symbolSize: 3
                    },
                    lineStyle: {
                        normal: {
                            color: color[i],
                            width: 0,
                            // 边的曲度
                            curveness: 0.2
                        }
                    },
                    data: convertData(item[1])
                },
                {
                    name: item[0] + ' Top10',
                    type: 'lines',
                    // 大的zlevel值的图会放在小的上面
                    zlevel: 2,
                    // 线两端的标记类型(空,箭头)
                    symbol: ['none', 'arrow'],
                    symbolSize: 10,
                    effect: {
                        show: true,
                        period: 6,
                        trailLength: 0,
                        symbol: planePath,
                        symbolSize: 15
                    },
                    lineStyle: {
                        color: color[i],
                        width: 1,
                        opacity: 0.6,
                        curveness: 0.2
                    },
                    data: convertData(item[1])
                },
                {
                    name: item[0] + ' Top10',
                    // 带有涟漪特效动画的散点(气泡)图
                    type: 'effectScatter',
                    coordinateSystem: 'geo',
                    zlevel: 2,
                    // 涟漪特效相关配置
                    rippleEffect: {
                        // 波纹的绘制方式,可选 'stroke' 和 'fill'
                        brushType: 'stroke'
                    },
                    label: {
                        show: true,
                        position: 'right',
                        formatter: '{b}'
                    },
                    // 散点大小
                    symbolSize: function (val) {
                        return val[2] / 8;
                    },
                    itemStyle: {
                        color: color[i]
                    },
                    // 格式化数据
                    data: item[1].map(function (dataItem) {
                        // 给散点增加一个value维度,数组长度由2变成3,加上了散点发散效果(以值控制发散效果的大小)
                        console.log([dataItem[1].value])
                        return {
                            name: dataItem[1].name,
                            value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
                        };
                    })
                });
        });

        var option = {
            backgroundColor: '#404a59',
            title: {
                text: '模拟迁徙',
                subtext: '数据纯属虚构',
                left: 'center',
                textStyle: {
                    color: '#fff'
                }
            },
            tooltip: {
                trigger: 'item'
            },
            legend: {
                orient: 'vertical',
                top: 'bottom',
                left: 'right',
                data: ['北京 Top10', '上海 Top10', '广州 Top10'],
                textStyle: {
                    color: '#fff'
                },
                // 关闭同时选中
                selectedMode: 'single'
            },
            geo: {
                map: 'china',
                label: {
                    show: false
                },
                roam: true,
                itemStyle: {
                    areaColor: '#323c48',
                    borderColor: '#404a59'
                },

                emphasis: {
                    label: {
                        show: true
                    },
                    itemStyle: {
                        areaColor: '#2a333d'
                    }
                }
            },
            series: series
        };
        migrationMapChart.setOption(option)
    }
</script>
</html>

效果图:

Echarts迁徙图与地图上绘制散点