eCharts01-地圖標記散點圖

1.準備

①eCharts.js

②地圖數據world.js 或者china.js 或者各個省份的地圖數據xxxx.js

    https://echarts.baidu.com/download-map.html  官網停止下載

    可以在github中找到新的下載地址：https://github.com/apache/incubator-echarts

    在option裏面的geo配置地圖類型的時候，world和china直接使用英文名，省份要用漢字。

 geo:{
            map:'china',  //省份要用漢字
            itemStyle:{
                normal:{
                    areaColor:'#323c48',
                    borderColor:'#111',
                    color:'black'
                },
                emphasis:{
                    areaColor:'#2a333d'
                }
            }
        }

除了使用地圖js，還有json格式的，下載地址和js格式一樣。參考：https://www.cnblogs.com/softidea/p/7082124.html

除了這兩種形式，還有直接使用百度地圖。在github上的extention裏的bmap.js.

bmap.js基於echarts3，所以最好使用echarts3. bmap下載地址爲：

https://pan.baidu.com/s/1jwNPIMf3NdybmB4fWLI5Fg

③使用echarts，要現在html中寫一個div容器，容器高度不能爲0.

    然後引入echarts.js，使用步驟就是先在js裏面初始化，然後配置option,最後setoption

// 初始化echarts示例mapChart
var mapChart = echarts.init(document.getElementById('map-wrap'));

// mapChart的配置
var option = {

};

mapChart.setOption(option);

2.繪製地圖

2.1繪製基本地圖

var option = {
    geo: {
        map: 'china',

        itemStyle: {                    // 定義樣式
            normal: {                    // 普通狀態下的樣式
                areaColor: '#323c48',
                borderColor: '#111'
            },
            emphasis: {                    // 高亮狀態下的樣式
                areaColor: '#2a333d'
            }
        }
    },
    backgroundColor: '#404a59',          // 圖表背景色
}

2.2數據

參考文章最後，一個是對象數組，包括城市名和pm2.5的值；一個是對象，城市名是索引，城市經緯度是value。

首先要把初始數據轉換爲地圖使用的數據。

地圖使用的數據格式爲：

{
    name: '北京',    // 數據項名稱，在這裏指地區名稱

    value: [        // 數據項值
        116.46,     // 地理座標，經度
        39.92,      // 地理座標，緯度
        340         // 北京地區的數值
    ]
}

轉換函數爲：（兩點：①對象可以根據給定的key檢索value；②數組可以直接往後面添加concatl連接的方法）

 

 

var result=[];
for(var i=0;i<data.length;i++){
    result.push({
        'name':data[i].name,
        'value':[dataPoint[data[i].name][0],dataPoint[data[i].name][1],data[i].value]
    })
}


//更好的
  var convertData = function (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;
    };

通過函數，轉換格式後的數據爲myData。通過series導入數據

var option = {
    geo: {
          ...
      },
      backgroundColor: '#404a59',
    series: [             //通過series添加散點圖
        {
            name: '銷量',     //series名稱
            type: 'scatter',           //series圖表類型
            coordinateSystem: 'geo',    //series座標系名稱

            data: myData // series數據內容       //要按照固定數據格式
        }
    ]
}

2.3添加視覺映射組件

視覺映射組件是標識某一數據範圍內數據及顏色對應關係的控件，視覺映射組件分爲連續型和分段型，這裏我們選用連續型 type:continuous 。同時，通過視覺映射組件可以實現 ECharts 值域漫遊功能，即通過拖拽控件手柄選擇不同數值範圍，達到對圖表數據的篩選顯示。 在 visualMap屬性中設置值域控件的相關配置：

var option = {
    ...

    visualMap: {
        type: 'continuous', // 連續型
        min: 0,               // 值域最小值，必須參數
        max: 200,            // 值域最大值，必須參數
        calculable: true,    // 是否啓用值域漫遊
        inRange: {
                 color: ['#50a3ba','#eac736','#d94e5d']
                             // 指定數值從低到高時的顏色變化
          },
        textStyle: {
            color: '#fff'    // 值域控件的文本顏色
        }
         }
}

這樣一個基於中國地圖的散點圖就基本實現了，如果想要繼續完善圖表，可以爲它添加標題，圖例，高亮提示等控件，配置方式在這裏查看（ECharts 配置項手冊），在此不再詳細說明。

http://echarts.baidu.com/blog/2016/04/28/echarts-map-tutorial.html

3.使用百度地圖繪製

3.1引入百度地圖擴展包

bmap.js

申請百度AK

可以使用

<script src="http://api.map.baidu.com/api?v=2.0&ak=53oVIOgmSIejwV7EfphPgTynOZbIiVYu"></script>

3.2新建echarts示例

var bmapChart = echarts.init(document.getElementById('map-wrap'));

var option = {
    // 這裏是 ECharts 的配置項，接下來會說明
}

bmapChart.setOption(option);

 

3.3添加百度地圖：

在 option 中添加 bmap 相關設置：

var option = {
    bmap: {
          center: [116.307698, 40.056975], // 中心位置座標
          zoom: 5, // 地圖縮放比例
          roam: true // 開啓用戶縮放
      }

}

引入數據和添加視覺映射組件的部分同上，不過使用時要將series中的座標系名稱改爲bmap.

對百度地圖的顯示進行設置：自定義百度地圖的樣式，設置顏色，是否開啓邊境線等。在bmap的mapStyle屬性裏面設置。

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title></title>
</head>
<body>
<div id="mainChart" style="width: 600px;height: 500px;"></div>
<script src="http://api.map.baidu.com/api?v=2.0&ak=53oVIOgmSIejwV7EfphPgTynOZbIiVYu"></script>
<script src="echarts.js"></script>
<script src="bmap.js"></script>
<!--<script src=" example.js"></script>-->
<script>
    var myChart=echarts.init(document.getElementById('mainChart'));
    var data = [
        {name: '海門', value: 9},
        {name: '鄂爾多斯', value: 12},
        {name: '招遠', value: 12},
        {name: '舟山', value: 12},
        {name: '齊齊哈爾', value: 14},
        {name: '鹽城', value: 15},
        {name: '赤峯', value: 16},
        {name: '青島', value: 18},
        {name: '乳山', value: 18},
        {name: '金昌', value: 19},
        {name: '泉州', value: 21},
        {name: '萊西', value: 21},
        {name: '日照', value: 21},
        {name: '膠南', value: 22},
        {name: '南通', value: 23},
        {name: '拉薩', value: 24},
        {name: '雲浮', value: 24},
        {name: '梅州', value: 25},
        {name: '文登', value: 25},
        {name: '上海', value: 25},
        {name: '攀枝花', value: 25},
        {name: '威海', value: 25},
        {name: '承德', value: 25},
        {name: '廈門', value: 26},
        {name: '汕尾', value: 26},
        {name: '潮州', value: 26},
        {name: '丹東', value: 27},
        {name: '太倉', value: 27},
        {name: '曲靖', value: 27},
        {name: '煙臺', value: 28},
        {name: '福州', value: 29},
        {name: '瓦房店', value: 30},
        {name: '即墨', value: 30},
        {name: '撫順', value: 31},
        {name: '玉溪', value: 31},
        {name: '張家口', value: 31},
        {name: '陽泉', value: 31},
        {name: '萊州', value: 32},
        {name: '湖州', value: 32},
        {name: '汕頭', value: 32},
        {name: '崑山', value: 33},
        {name: '寧波', value: 33},
        {name: '湛江', value: 33},
        {name: '揭陽', value: 34},
        {name: '榮成', value: 34},
        {name: '連雲港', value: 35},
        {name: '葫蘆島', value: 35},
        {name: '常熟', value: 36},
        {name: '東莞', value: 36},
        {name: '河源', value: 36},
        {name: '淮安', value: 36},
        {name: '泰州', value: 36},
        {name: '南寧', value: 37},
        {name: '營口', value: 37},
        {name: '惠州', value: 37},
        {name: '江陰', value: 37},
        {name: '蓬萊', value: 37},
        {name: '韶關', value: 38},
        {name: '嘉峪關', value: 38},
        {name: '廣州', value: 38},
        {name: '延安', value: 38},
        {name: '太原', value: 39},
        {name: '清遠', value: 39},
        {name: '中山', value: 39},
        {name: '昆明', value: 39},
        {name: '壽光', value: 40},
        {name: '盤錦', value: 40},
        {name: '長治', value: 41},
        {name: '深圳', value: 41},
        {name: '珠海', value: 42},
        {name: '宿遷', value: 43},
        {name: '咸陽', value: 43},
        {name: '銅川', value: 44},
        {name: '平度', value: 44},
        {name: '佛山', value: 44},
        {name: '海口', value: 44},
        {name: '江門', value: 45},
        {name: '章丘', value: 45},
        {name: '肇慶', value: 46},
        {name: '大連', value: 47},
        {name: '臨汾', value: 47},
        {name: '吳江', value: 47},
        {name: '石嘴山', value: 49},
        {name: '瀋陽', value: 50},
        {name: '蘇州', value: 50},
        {name: '茂名', value: 50},
        {name: '嘉興', value: 51},
        {name: '長春', value: 51},
        {name: '膠州', value: 52},
        {name: '銀川', value: 52},
        {name: '張家港', value: 52},
        {name: '三門峽', value: 53},
        {name: '錦州', value: 54},
        {name: '南昌', value: 54},
        {name: '柳州', value: 54},
        {name: '三亞', value: 54},
        {name: '自貢', value: 56},
        {name: '吉林', value: 56},
        {name: '陽江', value: 57},
        {name: '瀘州', value: 57},
        {name: '西寧', value: 57},
        {name: '宜賓', value: 58},
        {name: '呼和浩特', value: 58},
        {name: '成都', value: 58},
        {name: '大同', value: 58},
        {name: '鎮江', value: 59},
        {name: '桂林', value: 59},
        {name: '張家界', value: 59},
        {name: '宜興', value: 59},
        {name: '北海', value: 60},
        {name: '西安', value: 61},
        {name: '金壇', value: 62},
        {name: '東營', value: 62},
        {name: '牡丹江', value: 63},
        {name: '遵義', value: 63},
        {name: '紹興', value: 63},
        {name: '揚州', value: 64},
        {name: '常州', value: 64},
        {name: '濰坊', value: 65},
        {name: '重慶', value: 66},
        {name: '台州', value: 67},
        {name: '南京', value: 67},
        {name: '濱州', value: 70},
        {name: '貴陽', value: 71},
        {name: '無錫', value: 71},
        {name: '本溪', value: 71},
        {name: '克拉瑪依', value: 72},
        {name: '渭南', value: 72},
        {name: '馬鞍山', value: 72},
        {name: '寶雞', value: 72},
        {name: '焦作', value: 75},
        {name: '句容', value: 75},
        {name: '北京', value: 79},
        {name: '徐州', value: 79},
        {name: '衡水', value: 80},
        {name: '包頭', value: 80},
        {name: '綿陽', value: 80},
        {name: '烏魯木齊', value: 84},
        {name: '棗莊', value: 84},
        {name: '杭州', value: 84},
        {name: '淄博', value: 85},
        {name: '鞍山', value: 86},
        {name: '溧陽', value: 86},
        {name: '庫爾勒', value: 86},
        {name: '安陽', value: 90},
        {name: '開封', value: 90},
        {name: '濟南', value: 92},
        {name: '德陽', value: 93},
        {name: '溫州', value: 95},
        {name: '九江', value: 96},
        {name: '邯鄲', value: 98},
        {name: '臨安', value: 99},
        {name: '蘭州', value: 99},
        {name: '滄州', value: 100},
        {name: '臨沂', value: 103},
        {name: '南充', value: 104},
        {name: '天津', value: 105},
        {name: '富陽', value: 106},
        {name: '泰安', value: 112},
        {name: '諸暨', value: 112},
        {name: '鄭州', value: 113},
        {name: '哈爾濱', value: 114},
        {name: '聊城', value: 116},
        {name: '蕪湖', value: 117},
        {name: '唐山', value: 119},
        {name: '平頂山', value: 119},
        {name: '邢臺', value: 119},
        {name: '德州', value: 120},
        {name: '濟寧', value: 120},
        {name: '荊州', value: 127},
        {name: '宜昌', value: 130},
        {name: '義烏', value: 132},
        {name: '麗水', value: 133},
        {name: '洛陽', value: 134},
        {name: '秦皇島', value: 136},
        {name: '株洲', value: 143},
        {name: '石家莊', value: 147},
        {name: '萊蕪', value: 148},
        {name: '常德', value: 152},
        {name: '保定', value: 153},
        {name: '湘潭', value: 154},
        {name: '金華', value: 157},
        {name: '岳陽', value: 169},
        {name: '長沙', value: 175},
        {name: '衢州', value: 177},
        {name: '廊坊', value: 193},
        {name: '菏澤', value: 194},
        {name: '合肥', value: 229},
        {name: '武漢', value: 273},
        {name: '大慶', value: 279}
    ];

    var geoCoordMap = {
        '海門':[121.15,31.89],
        '鄂爾多斯':[109.781327,39.608266],
        '招遠':[120.38,37.35],
        '舟山':[122.207216,29.985295],
        '齊齊哈爾':[123.97,47.33],
        '鹽城':[120.13,33.38],
        '赤峯':[118.87,42.28],
        '青島':[120.33,36.07],
        '乳山':[121.52,36.89],
        '金昌':[102.188043,38.520089],
        '泉州':[118.58,24.93],
        '萊西':[120.53,36.86],
        '日照':[119.46,35.42],
        '膠南':[119.97,35.88],
        '南通':[121.05,32.08],
        '拉薩':[91.11,29.97],
        '雲浮':[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],
        '廈門':[118.1,24.46],
        '汕尾':[115.375279,22.786211],
        '潮州':[116.63,23.68],
        '丹東':[124.37,40.13],
        '太倉':[121.1,31.45],
        '曲靖':[103.79,25.51],
        '煙臺':[121.39,37.52],
        '福州':[119.3,26.08],
        '瓦房店':[121.979603,39.627114],
        '即墨':[120.45,36.38],
        '撫順':[123.97,41.97],
        '玉溪':[102.52,24.35],
        '張家口':[114.87,40.82],
        '陽泉':[113.57,37.85],
        '萊州':[119.942327,37.177017],
        '湖州':[120.1,30.86],
        '汕頭':[116.69,23.39],
        '崑山':[120.95,31.39],
        '寧波':[121.56,29.86],
        '湛江':[110.359377,21.270708],
        '揭陽':[116.35,23.55],
        '榮成':[122.41,37.16],
        '連雲港':[119.16,34.59],
        '葫蘆島':[120.836932,40.711052],
        '常熟':[120.74,31.64],
        '東莞':[113.75,23.04],
        '河源':[114.68,23.73],
        '淮安':[119.15,33.5],
        '泰州':[119.9,32.49],
        '南寧':[108.33,22.84],
        '營口':[122.18,40.65],
        '惠州':[114.4,23.09],
        '江陰':[120.26,31.91],
        '蓬萊':[120.75,37.8],
        '韶關':[113.62,24.84],
        '嘉峪關':[98.289152,39.77313],
        '廣州':[113.23,23.16],
        '延安':[109.47,36.6],
        '太原':[112.53,37.87],
        '清遠':[113.01,23.7],
        '中山':[113.38,22.52],
        '昆明':[102.73,25.04],
        '壽光':[118.73,36.86],
        '盤錦':[122.070714,41.119997],
        '長治':[113.08,36.18],
        '深圳':[114.07,22.62],
        '珠海':[113.52,22.3],
        '宿遷':[118.3,33.96],
        '咸陽':[108.72,34.36],
        '銅川':[109.11,35.09],
        '平度':[119.97,36.77],
        '佛山':[113.11,23.05],
        '海口':[110.35,20.02],
        '江門':[113.06,22.61],
        '章丘':[117.53,36.72],
        '肇慶':[112.44,23.05],
        '大連':[121.62,38.92],
        '臨汾':[111.5,36.08],
        '吳江':[120.63,31.16],
        '石嘴山':[106.39,39.04],
        '瀋陽':[123.38,41.8],
        '蘇州':[120.62,31.32],
        '茂名':[110.88,21.68],
        '嘉興':[120.76,30.77],
        '長春':[125.35,43.88],
        '膠州':[120.03336,36.264622],
        '銀川':[106.27,38.47],
        '張家港':[120.555821,31.875428],
        '三門峽':[111.19,34.76],
        '錦州':[121.15,41.13],
        '南昌':[115.89,28.68],
        '柳州':[109.4,24.33],
        '三亞':[109.511909,18.252847],
        '自貢':[104.778442,29.33903],
        '吉林':[126.57,43.87],
        '陽江':[111.95,21.85],
        '瀘州':[105.39,28.91],
        '西寧':[101.74,36.56],
        '宜賓':[104.56,29.77],
        '呼和浩特':[111.65,40.82],
        '成都':[104.06,30.67],
        '大同':[113.3,40.12],
        '鎮江':[119.44,32.2],
        '桂林':[110.28,25.29],
        '張家界':[110.479191,29.117096],
        '宜興':[119.82,31.36],
        '北海':[109.12,21.49],
        '西安':[108.95,34.27],
        '金壇':[119.56,31.74],
        '東營':[118.49,37.46],
        '牡丹江':[129.58,44.6],
        '遵義':[106.9,27.7],
        '紹興':[120.58,30.01],
        '揚州':[119.42,32.39],
        '常州':[119.95,31.79],
        '濰坊':[119.1,36.62],
        '重慶':[106.54,29.59],
        '台州':[121.420757,28.656386],
        '南京':[118.78,32.04],
        '濱州':[118.03,37.36],
        '貴陽':[106.71,26.57],
        '無錫':[120.29,31.59],
        '本溪':[123.73,41.3],
        '克拉瑪依':[84.77,45.59],
        '渭南':[109.5,34.52],
        '馬鞍山':[118.48,31.56],
        '寶雞':[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],
        '包頭':[110,40.58],
        '綿陽':[104.73,31.48],
        '烏魯木齊':[87.68,43.77],
        '棗莊':[117.57,34.86],
        '杭州':[120.19,30.26],
        '淄博':[118.05,36.78],
        '鞍山':[122.85,41.12],
        '溧陽':[119.48,31.43],
        '庫爾勒':[86.06,41.68],
        '安陽':[114.35,36.1],
        '開封':[114.35,34.79],
        '濟南':[117,36.65],
        '德陽':[104.37,31.13],
        '溫州':[120.65,28.01],
        '九江':[115.97,29.71],
        '邯鄲':[114.47,36.6],
        '臨安':[119.72,30.23],
        '蘭州':[103.73,36.03],
        '滄州':[116.83,38.33],
        '臨沂':[118.35,35.05],
        '南充':[106.110698,30.837793],
        '天津':[117.2,39.13],
        '富陽':[119.95,30.07],
        '泰安':[117.13,36.18],
        '諸暨':[120.23,29.71],
        '鄭州':[113.65,34.76],
        '哈爾濱':[126.63,45.75],
        '聊城':[115.97,36.45],
        '蕪湖':[118.38,31.33],
        '唐山':[118.02,39.63],
        '平頂山':[113.29,33.75],
        '邢臺':[114.48,37.05],
        '德州':[116.29,37.45],
        '濟寧':[116.59,35.38],
        '荊州':[112.239741,30.335165],
        '宜昌':[111.3,30.7],
        '義烏':[120.06,29.32],
        '麗水':[119.92,28.45],
        '洛陽':[112.44,34.7],
        '秦皇島':[119.57,39.95],
        '株洲':[113.16,27.83],
        '石家莊':[114.48,38.03],
        '萊蕪':[117.67,36.19],
        '常德':[111.69,29.05],
        '保定':[115.48,38.85],
        '湘潭':[112.91,27.87],
        '金華':[119.64,29.12],
        '岳陽':[113.09,29.37],
        '長沙':[113,28.21],
        '衢州':[118.88,28.97],
        '廊坊':[116.7,39.53],
        '菏澤':[115.480656,35.23375],
        '合肥':[117.27,31.86],
        '武漢':[114.31,30.52],
        '大慶':[125.03,46.58]
    };
    var convertData = function (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;
    };
    var myData=convertData(data);


    var option={
        // geo:{
        //     map:'china',  //省份要用漢字
        //     itemStyle:{
        //         normal:{
        //             areaColor:'#323c48',
        //             borderColor:'#111',
        //             color:'black'
        //         },
        //         emphasis:{
        //             areaColor:'#2a333d'
        //         }
        //     }
        // },
        bmap: {
            center: [116.307698, 40.056975], // 中心位置座標
            zoom: 5, // 地圖縮放比例
            roam: true, // 開啓用戶縮放
            mapStyle:{ //百度地圖自定義樣式
                styleJson:[
                    //陸地
                    {
                        "featureType":"land",
                        "elementType":"all",
                        "stylers":{
                            "color":"#073763"
                        }
                    },
                    //水系
                    {
                        "featureType":"water",
                        "elementType":"all",
                        "stylers":{
                            "color":"#073763",
                            "lightness":-54
                        }
                    },
                    // 國道與高速
                    {
                        "featureType": "highway",
                        "elementType": "all",
                        "stylers": {
                            "color": "#45818e"
                        }
                    },
                    // 邊界線
                    {
                        "featureType": "boundary",
                        "elementType": "all",
                        "stylers": {
                            "color": "#ffffff",
                            "lightness": -62,
                            "visibility": "on"
                        }
                    },
                    // 行政標註
                    {
                        "featureType": "label",
                        "elementType": "labels.text.fill",
                        "stylers": {
                            "color": "#ffffff",
                            "visibility": "on"
                        }
                    },
                    {
                        "featureType": "label",
                        "elementType": "labels.text.stroke",
                        "stylers": {
                            "color": "#444444",
                            "visibility": "on"
                        }
                    }
                ]
            }
        },
        backgroundColor:'#404a59',
        visualMap: {
            type: 'continuous', // 連續型
            min: 0,               // 值域最小值，必須參數
            max: 200,            // 值域最大值，必須參數
            calculable: true,    // 是否啓用值域漫遊
            inRange: {
                color: ['#50a3ba','#eac736','#d94e5d']
                // 指定數值從低到高時的顏色變化
            },
            textStyle: {
                color: '#fff'    // 值域控件的文本顏色
            }
        },
        series:[
            {
                name:'相機位置',
                type:'scatter',
                coordinateSystem:'bmap',
                data:myData
            }
        ]

    }
    myChart.setOption(option);
</script>
</body>
</html>

參考：https://www.cnblogs.com/softidea/p/7082124.html