这两天帮人搞了下中国范围内仓库量统计的需求，查了下echarts 里的文档找到类似的demo（链接：https://ecomfe.github.io/echarts-examples/public/editor.html?c=geo-map-scatter）

　　

var data = [
    {name: '海门', value: 9},
    {name: '鄂尔多斯', value: 12},
    {name: '招远', value: 12},
    {name: '舟山', value: 12},
    {name: '齐齐哈尔', value: 14},
    {name: '盐城', value: 15},
    {name: '赤峰', value: 16},
    {name: '青岛', value: 18},
    {name: '乳山', value: 18},
    {name: '金昌', value: 19},
    {name: '泉州', value: 21},
    {name: '南通', value: 23},
    {name: '拉萨', value: 24},
    {name: '云浮', value: 24},
    {name: '上海', value: 25},
    {name: '攀枝花', value: 25},
    {name: '承德', value: 25},
    {name: '汕尾', value: 26},
    {name: '丹东', value: 27},
    {name: '瓦房店', value: 30},
    {name: '延安', value: 38},
    {name: '咸阳', value: 43},
    {name: '南昌', value: 54},
    {name: '柳州', value: 54},
    {name: '三亚', value: 54},
    {name: '泸州', value: 57},
    {name: '克拉玛依', value: 72}
];

var 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],
   '焦作':[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]
};

function convertData(data) {
   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)
           });
       }
   }
   return res;
};

function randomValue() {
    return Math.round(Math.random()*1000);
}



option = {
    tooltip: {},
    visualMap: {
        min: 0,
        max: 1500,
        left: 'left',
        top: 'bottom',
        text: ['High','Low'],
        seriesIndex: [1],
        inRange: {
            color: ['#e0ffff', '#006edd']
        },
        calculable : true
    },
    geo: {
        map: 'china',
        roam: true,
        label: {
            normal: {
                show: true,
                textStyle: {
                    color: 'rgba(0,0,0,0.4)'
                }
            }
        },
        itemStyle: {
            normal:{
                borderColor: 'rgba(0, 0, 0, 0.2)'
            },
            emphasis:{
                areaColor: null,
                shadowOffsetX: 0,
                shadowOffsetY: 0,
                shadowBlur: 20,
                borderWidth: 0,
                shadowColor: 'rgba(0, 0, 0, 0.5)'
            }
        }
    },
    series : [
       {
           type: 'scatter',
           coordinateSystem: 'geo',
           data: convertData(data),
           symbolSize: 20,
           symbol: 'image://https://pic.ulecdn.com/item/user_0102/desc20190115/1fb19e0cf39aafef_-1x-1.png',
           symbolRotate: 35,
           label: {
               normal: {
                   formatter: '{b}',
                   position: 'right',
                   show: false
               },
               emphasis: {
                   show: true
               }
           },
           itemStyle: {
               normal: {
                    color: '#F06C00'
               }
           }
        },
        {
            name: 'categoryA',
            type: 'map',
            geoIndex: 0,
            // tooltip: {show: false},
            data:[
                {name: '北京', value: randomValue()},
                {name: '天津', value: randomValue()},
                {name: '上海', value: randomValue()},
                {name: '重庆', value: randomValue()},
                {name: '河北', value: randomValue()},
                {name: '河南', value: randomValue()},
                {name: '云南', value: randomValue()},
                {name: '辽宁', value: randomValue()},
                {name: '黑龙江', value: randomValue()},
                {name: '湖南', value: randomValue()},
                {name: '安徽', value: randomValue()},
                {name: '山东', value: randomValue()},
                {name: '*', value: randomValue()},
                {name: '江苏', value: randomValue()},
                {name: '浙江', value: randomValue()},
                {name: '江西', value: randomValue()},
                {name: '湖北', value: randomValue()},
                {name: '广西', value: randomValue()},
                {name: '甘肃', value: randomValue()},
                {name: '山西', value: randomValue()},
                {name: '内蒙古', value: randomValue()},
                {name: '陕西', value: randomValue()},
                {name: '吉林', value: randomValue()},
                {name: '福建', value: randomValue()},
                {name: '贵州', value: randomValue()},
                {name: '广东', value: randomValue()},
                {name: '青海', value: randomValue()},
                {name: '*', value: randomValue()},
                {name: '四川', value: randomValue()},
                {name: '宁夏', value: randomValue()},
                {name: '海南', value: randomValue()},
                {name: '*', value: randomValue()},
                {name: '香港', value: randomValue()},
                {name: '澳门', value: randomValue()}
            ]
        }
    ]
};

这里面有几个小东西，可能查文档的时候不好找到

1  visualMap 中 seriesIndex 对应的是对哪个series 进行渐变，若想两个都渐变，可以赋值位  seriesIndex： [0, 1]

2 中国地区不显示浮层，标记图标（飞机）显示浮层：

　　在上面的代码中向对应的series中 加入  tooltip:{show: false}

3 去掉背景中省份地址两个字

　　在geo中设置为

　　label: {
　　　　emphasis: {
　　　　　　show: false
　　　　}
　　},

4 更改标记图标为其他图片

 　　在对应series中设置如这种的   symbol: 'image://https://pic.ulecdn.com/item/user_0102/desc20190115/1fb19e0cf39aafef_-1x-1.png'

 其他的基本样式，如symbolSize或者itemStyle ,只要自己能在对应的series,geo,visualMap 中参考下就行，总而言之，用echart画图还是很炫酷的，不过就是查文档有时有时很麻烦，为了个需求，都找不到咋写api。因此这里也就小写下，这个geo渐变的基本需求，与大家分享下。