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前端笔记-echarts加载geo地图

发布2020-03-16浏览5601次

详情内容

效果如下所示：

源码如下：

  1. <html>
  2. <head>
  3. 	<title>中国地图散点图</title>
  4. 	<script src = "echarts.js" ></script>
  5. 	<script src = "china.js"></script>
  6. </head>
  7.  
  8. <body>
  9.  
  10. <div id = "main" style = "height: 400px; width: 600px"></div>
  11. <script type = "text/javascript" >
  12.  
  13. var mychart = echarts.init(document.getElementById("main"))
  14.     var data = [
  15.         {name: '海门', value: 9},
  16.         {name: '鄂尔多斯', value: 12},
  17.         {name: '招远', value: 12},
  18.         {name: '舟山', value: 12},
  19.         {name: '齐齐哈尔', value: 14},
  20.         {name: '盐城', value: 15},
  21.         {name: '赤峰', value: 16},
  22.         {name: '青岛', value: 18},
  23.         {name: '乳山', value: 18},
  24.         {name: '金昌', value: 19},
  25.         {name: '泉州', value: 21},
  26.         {name: '莱西', value: 21},
  27.         {name: '日照', value: 21},
  28.         {name: '胶南', value: 22},
  29.         {name: '南通', value: 23},
  30.         {name: '拉萨', value: 24},
  31.         {name: '云浮', value: 24},
  32.         {name: '梅州', value: 25},
  33.         {name: '文登', value: 25},
  34.         {name: '上海', value: 25},
  35.         {name: '攀枝花', value: 25},
  36.         {name: '威海', value: 25},
  37.         {name: '承德', value: 25},
  38.         {name: '厦门', value: 26},
  39.         {name: '汕尾', value: 26},
  40.         {name: '潮州', value: 26},
  41.         {name: '丹东', value: 27},
  42.         {name: '太仓', value: 27},
  43.         {name: '曲靖', value: 27},
  44.         {name: '烟台', value: 28},
  45.         {name: '福州', value: 29},
  46.         {name: '瓦房店', value: 30},
  47.         {name: '即墨', value: 30},
  48.         {name: '抚顺', value: 31},
  49.         {name: '玉溪', value: 31},
  50.         {name: '张家口', value: 31},
  51.         {name: '阳泉', value: 31},
  52.         {name: '莱州', value: 32},
  53.         {name: '湖州', value: 32},
  54.         {name: '汕头', value: 32},
  55.         {name: '昆山', value: 33},
  56.         {name: '宁波', value: 33},
  57.         {name: '湛江', value: 33},
  58.         {name: '揭阳', value: 34},
  59.         {name: '荣成', value: 34},
  60.         {name: '连云港', value: 35},
  61.         {name: '葫芦岛', value: 35},
  62.         {name: '常熟', value: 36},
  63.         {name: '东莞', value: 36},
  64.         {name: '河源', value: 36},
  65.         {name: '淮安', value: 36},
  66.         {name: '泰州', value: 36},
  67.         {name: '南宁', value: 37},
  68.         {name: '营口', value: 37},
  69.         {name: '惠州', value: 37},
  70.         {name: '江阴', value: 37},
  71.         {name: '蓬莱', value: 37},
  72.         {name: '韶关', value: 38},
  73.         {name: '嘉峪关', value: 38},
  74.         {name: '广州', value: 38},
  75.         {name: '延安', value: 38},
  76.         {name: '太原', value: 39},
  77.         {name: '清远', value: 39},
  78.         {name: '中山', value: 39},
  79.         {name: '昆明', value: 39},
  80.         {name: '寿光', value: 40},
  81.         {name: '盘锦', value: 40},
  82.         {name: '长治', value: 41},
  83.         {name: '深圳', value: 41},
  84.         {name: '珠海', value: 42},
  85.         {name: '宿迁', value: 43},
  86.         {name: '咸阳', value: 43},
  87.         {name: '铜川', value: 44},
  88.         {name: '平度', value: 44},
  89.         {name: '佛山', value: 44},
  90.         {name: '海口', value: 44},
  91.         {name: '江门', value: 45},
  92.         {name: '章丘', value: 45},
  93.         {name: '肇庆', value: 46},
  94.         {name: '大连', value: 47},
  95.         {name: '临汾', value: 47},
  96.         {name: '吴江', value: 47},
  97.         {name: '石嘴山', value: 49},
  98.         {name: '沈阳', value: 50},
  99.         {name: '苏州', value: 50},
  100.         {name: '茂名', value: 50},
  101.         {name: '嘉兴', value: 51},
  102.         {name: '长春', value: 51},
  103.         {name: '胶州', value: 52},
  104.         {name: '银川', value: 52},
  105.         {name: '张家港', value: 52},
  106.         {name: '三门峡', value: 53},
  107.         {name: '锦州', value: 54},
  108.         {name: '南昌', value: 54},
  109.         {name: '柳州', value: 54},
  110.         {name: '三亚', value: 54},
  111.         {name: '自贡', value: 56},
  112.         {name: '吉林', value: 56},
  113.         {name: '阳江', value: 57},
  114.         {name: '泸州', value: 57},
  115.         {name: '西宁', value: 57},
  116.         {name: '宜宾', value: 58},
  117.         {name: '呼和浩特', value: 58},
  118.         {name: '成都', value: 58},
  119.         {name: '大同', value: 58},
  120.         {name: '镇江', value: 59},
  121.         {name: '桂林', value: 59},
  122.         {name: '张家界', value: 59},
  123.         {name: '宜兴', value: 59},
  124.         {name: '北海', value: 60},
  125.         {name: '西安', value: 61},
  126.         {name: '金坛', value: 62},
  127.         {name: '东营', value: 62},
  128.         {name: '牡丹江', value: 63},
  129.         {name: '遵义', value: 63},
  130.         {name: '绍兴', value: 63},
  131.         {name: '扬州', value: 64},
  132.         {name: '常州', value: 64},
  133.         {name: '潍坊', value: 65},
  134.         {name: '重庆', value: 66},
  135.         {name: '台州', value: 67},
  136.         {name: '南京', value: 67},
  137.         {name: '滨州', value: 70},
  138.         {name: '贵阳', value: 71},
  139.         {name: '无锡', value: 71},
  140.         {name: '本溪', value: 71},
  141.         {name: '克拉玛依', value: 72},
  142.         {name: '渭南', value: 72},
  143.         {name: '马鞍山', value: 72},
  144.         {name: '宝鸡', value: 72},
  145.         {name: '焦作', value: 75},
  146.         {name: '句容', value: 75},
  147.         {name: '北京', value: 79},
  148.         {name: '徐州', value: 79},
  149.         {name: '衡水', value: 80},
  150.         {name: '包头', value: 80},
  151.         {name: '绵阳', value: 80},
  152.         {name: '乌鲁木齐', value: 84},
  153.         {name: '枣庄', value: 84},
  154.         {name: '杭州', value: 84},
  155.         {name: '淄博', value: 85},
  156.         {name: '鞍山', value: 86},
  157.         {name: '溧阳', value: 86},
  158.         {name: '库尔勒', value: 86},
  159.         {name: '安阳', value: 90},
  160.         {name: '开封', value: 90},
  161.         {name: '济南', value: 92},
  162.         {name: '德阳', value: 93},
  163.         {name: '温州', value: 95},
  164.         {name: '九江', value: 96},
  165.         {name: '邯郸', value: 98},
  166.         {name: '临安', value: 99},
  167.         {name: '兰州', value: 99},
  168.         {name: '沧州', value: 100},
  169.         {name: '临沂', value: 103},
  170.         {name: '南充', value: 104},
  171.         {name: '天津', value: 105},
  172.         {name: '富阳', value: 106},
  173.         {name: '泰安', value: 112},
  174.         {name: '诸暨', value: 112},
  175.         {name: '郑州', value: 113},
  176.         {name: '哈尔滨', value: 114},
  177.         {name: '聊城', value: 116},
  178.         {name: '芜湖', value: 117},
  179.         {name: '唐山', value: 119},
  180.         {name: '平顶山', value: 119},
  181.         {name: '邢台', value: 119},
  182.         {name: '德州', value: 120},
  183.         {name: '济宁', value: 120},
  184.         {name: '荆州', value: 127},
  185.         {name: '宜昌', value: 130},
  186.         {name: '义乌', value: 132},
  187.         {name: '丽水', value: 133},
  188.         {name: '洛阳', value: 134},
  189.         {name: '秦皇岛', value: 136},
  190.         {name: '株洲', value: 143},
  191.         {name: '石家庄', value: 147},
  192.         {name: '莱芜', value: 148},
  193.         {name: '常德', value: 152},
  194.         {name: '保定', value: 153},
  195.         {name: '湘潭', value: 154},
  196.         {name: '金华', value: 157},
  197.         {name: '岳阳', value: 169},
  198.         {name: '长沙', value: 175},
  199.         {name: '衢州', value: 177},
  200.         {name: '廊坊', value: 193},
  201.         {name: '菏泽', value: 194},
  202.         {name: '合肥', value: 229},
  203.         {name: '武汉', value: 273},
  204.         {name: '大庆', value: 279}
  205.     ];
  206.     var geoCoordMap = {
  207.         '海门': [121.15, 31.89],
  208.         '鄂尔多斯': [109.781327, 39.608266],
  209.         '招远': [120.38, 37.35],
  210.         '舟山': [122.207216, 29.985295],
  211.         '齐齐哈尔': [123.97, 47.33],
  212.         '盐城': [120.13, 33.38],
  213.         '赤峰': [118.87, 42.28],
  214.         '青岛': [120.33, 36.07],
  215.         '乳山': [121.52, 36.89],
  216.         '金昌': [102.188043, 38.520089],
  217.         '泉州': [118.58, 24.93],
  218.         '莱西': [120.53, 36.86],
  219.         '日照': [119.46, 35.42],
  220.         '胶南': [119.97, 35.88],
  221.         '南通': [121.05, 32.08],
  222.         '拉萨': [91.11, 29.97],
  223.         '云浮': [112.02, 22.93],
  224.         '梅州': [116.1, 24.55],
  225.         '文登': [122.05, 37.2],
  226.         '上海': [121.48, 31.22],
  227.         '攀枝花': [101.718637, 26.582347],
  228.         '威海': [122.1, 37.5],
  229.         '承德': [117.93, 40.97],
  230.         '厦门': [118.1, 24.46],
  231.         '汕尾': [115.375279, 22.786211],
  232.         '潮州': [116.63, 23.68],
  233.         '丹东': [124.37, 40.13],
  234.         '太仓': [121.1, 31.45],
  235.         '曲靖': [103.79, 25.51],
  236.         '烟台': [121.39, 37.52],
  237.         '福州': [119.3, 26.08],
  238.         '瓦房店': [121.979603, 39.627114],
  239.         '即墨': [120.45, 36.38],
  240.         '抚顺': [123.97, 41.97],
  241.         '玉溪': [102.52, 24.35],
  242.         '张家口': [114.87, 40.82],
  243.         '阳泉': [113.57, 37.85],
  244.         '莱州': [119.942327, 37.177017],
  245.         '湖州': [120.1, 30.86],
  246.         '汕头': [116.69, 23.39],
  247.         '昆山': [120.95, 31.39],
  248.         '宁波': [121.56, 29.86],
  249.         '湛江': [110.359377, 21.270708],
  250.         '揭阳': [116.35, 23.55],
  251.         '荣成': [122.41, 37.16],
  252.         '连云港': [119.16, 34.59],
  253.         '葫芦岛': [120.836932, 40.711052],
  254.         '常熟': [120.74, 31.64],
  255.         '东莞': [113.75, 23.04],
  256.         '河源': [114.68, 23.73],
  257.         '淮安': [119.15, 33.5],
  258.         '泰州': [119.9, 32.49],
  259.         '南宁': [108.33, 22.84],
  260.         '营口': [122.18, 40.65],
  261.         '惠州': [114.4, 23.09],
  262.         '江阴': [120.26, 31.91],
  263.         '蓬莱': [120.75, 37.8],
  264.         '韶关': [113.62, 24.84],
  265.         '嘉峪关': [98.289152, 39.77313],
  266.         '广州': [113.23, 23.16],
  267.         '延安': [109.47, 36.6],
  268.         '太原': [112.53, 37.87],
  269.         '清远': [113.01, 23.7],
  270.         '中山': [113.38, 22.52],
  271.         '昆明': [102.73, 25.04],
  272.         '寿光': [118.73, 36.86],
  273.         '盘锦': [122.070714, 41.119997],
  274.         '长治': [113.08, 36.18],
  275.         '深圳': [114.07, 22.62],
  276.         '珠海': [113.52, 22.3],
  277.         '宿迁': [118.3, 33.96],
  278.         '咸阳': [108.72, 34.36],
  279.         '铜川': [109.11, 35.09],
  280.         '平度': [119.97, 36.77],
  281.         '佛山': [113.11, 23.05],
  282.         '海口': [110.35, 20.02],
  283.         '江门': [113.06, 22.61],
  284.         '章丘': [117.53, 36.72],
  285.         '肇庆': [112.44, 23.05],
  286.         '大连': [121.62, 38.92],
  287.         '临汾': [111.5, 36.08],
  288.         '吴江': [120.63, 31.16],
  289.         '石嘴山': [106.39, 39.04],
  290.         '沈阳': [123.38, 41.8],
  291.         '苏州': [120.62, 31.32],
  292.         '茂名': [110.88, 21.68],
  293.         '嘉兴': [120.76, 30.77],
  294.         '长春': [125.35, 43.88],
  295.         '胶州': [120.03336, 36.264622],
  296.         '银川': [106.27, 38.47],
  297.         '张家港': [120.555821, 31.875428],
  298.         '三门峡': [111.19, 34.76],
  299.         '锦州': [121.15, 41.13],
  300.         '南昌': [115.89, 28.68],
  301.         '柳州': [109.4, 24.33],
  302.         '三亚': [109.511909, 18.252847],
  303.         '自贡': [104.778442, 29.33903],
  304.         '吉林': [126.57, 43.87],
  305.         '阳江': [111.95, 21.85],
  306.         '泸州': [105.39, 28.91],
  307.         '西宁': [101.74, 36.56],
  308.         '宜宾': [104.56, 29.77],
  309.         '呼和浩特': [111.65, 40.82],
  310.         '成都': [104.06, 30.67],
  311.         '大同': [113.3, 40.12],
  312.         '镇江': [119.44, 32.2],
  313.         '桂林': [110.28, 25.29],
  314.         '张家界': [110.479191, 29.117096],
  315.         '宜兴': [119.82, 31.36],
  316.         '北海': [109.12, 21.49],
  317.         '西安': [108.95, 34.27],
  318.         '金坛': [119.56, 31.74],
  319.         '东营': [118.49, 37.46],
  320.         '牡丹江': [129.58, 44.6],
  321.         '遵义': [106.9, 27.7],
  322.         '绍兴': [120.58, 30.01],
  323.         '扬州': [119.42, 32.39],
  324.         '常州': [119.95, 31.79],
  325.         '潍坊': [119.1, 36.62],
  326.         '重庆': [106.54, 29.59],
  327.         '台州': [121.420757, 28.656386],
  328.         '南京': [118.78, 32.04],
  329.         '滨州': [118.03, 37.36],
  330.         '贵阳': [106.71, 26.57],
  331.         '无锡': [120.29, 31.59],
  332.         '本溪': [123.73, 41.3],
  333.         '克拉玛依': [84.77, 45.59],
  334.         '渭南': [109.5, 34.52],
  335.         '马鞍山': [118.48, 31.56],
  336.         '宝鸡': [107.15, 34.38],
  337.         '焦作': [113.21, 35.24],
  338.         '句容': [119.16, 31.95],
  339.         '北京': [116.46, 39.92],
  340.         '徐州': [117.2, 34.26],
  341.         '衡水': [115.72, 37.72],
  342.         '包头': [110, 40.58],
  343.         '绵阳': [104.73, 31.48],
  344.         '乌鲁木齐': [87.68, 43.77],
  345.         '枣庄': [117.57, 34.86],
  346.         '杭州': [120.19, 30.26],
  347.         '淄博': [118.05, 36.78],
  348.         '鞍山': [122.85, 41.12],
  349.         '溧阳': [119.48, 31.43],
  350.         '库尔勒': [86.06, 41.68],
  351.         '安阳': [114.35, 36.1],
  352.         '开封': [114.35, 34.79],
  353.         '济南': [117, 36.65],
  354.         '德阳': [104.37, 31.13],
  355.         '温州': [120.65, 28.01],
  356.         '九江': [115.97, 29.71],
  357.         '邯郸': [114.47, 36.6],
  358.         '临安': [119.72, 30.23],
  359.         '兰州': [103.73, 36.03],
  360.         '沧州': [116.83, 38.33],
  361.         '临沂': [118.35, 35.05],
  362.         '南充': [106.110698, 30.837793],
  363.         '天津': [117.2, 39.13],
  364.         '富阳': [119.95, 30.07],
  365.         '泰安': [117.13, 36.18],
  366.         '诸暨': [120.23, 29.71],
  367.         '郑州': [113.65, 34.76],
  368.         '哈尔滨': [126.63, 45.75],
  369.         '聊城': [115.97, 36.45],
  370.         '芜湖': [118.38, 31.33],
  371.         '唐山': [118.02, 39.63],
  372.         '平顶山': [113.29, 33.75],
  373.         '邢台': [114.48, 37.05],
  374.         '德州': [116.29, 37.45],
  375.         '济宁': [116.59, 35.38],
  376.         '荆州': [112.239741, 30.335165],
  377.         '宜昌': [111.3, 30.7],
  378.         '义乌': [120.06, 29.32],
  379.         '丽水': [119.92, 28.45],
  380.         '洛阳': [112.44, 34.7],
  381.         '秦皇岛': [119.57, 39.95],
  382.         '株洲': [113.16, 27.83],
  383.         '石家庄': [114.48, 38.03],
  384.         '莱芜': [117.67, 36.19],
  385.         '常德': [111.69, 29.05],
  386.         '保定': [115.48, 38.85],
  387.         '湘潭': [112.91, 27.87],
  388.         '金华': [119.64, 29.12],
  389.         '岳阳': [113.09, 29.37],
  390.         '长沙': [113, 28.21],
  391.         '衢州': [118.88, 28.97],
  392.         '廊坊': [116.7, 39.53],
  393.         '菏泽': [115.480656, 35.23375],
  394.         '合肥': [117.27, 31.86],
  395.         '武汉': [114.31, 30.52],
  396.         '大庆': [125.03, 46.58]
  397.     };
  398.  
  399.     var convertData = function (data){
  400. 	
  401.         var res = [];
  402.         for (var i = 0; i < data.length; i++) {
  403. 		
  404.             var geoCoord = geoCoordMap[data[i].name];
  405.             if (geoCoord) {
  406. 			
  407.                 res.push({
  408.                     name: data[i].name,
  409.                     value: geoCoord.concat(data[i].value)
  410.                 });
  411.             }
  412.         }
  413.         return res;
  414.     };
  415. 		
  416. 	
  417. 	//配置
  418. 	var option = {
  419. 	
  420. 		title:{
  421. 			
  422. 			text: '中国地图',
  423. 			left: 'center'
  424. 		},
  425. 		tooltip: {},
  426. 		geo:{
  427. 			
  428. 			map: 'china'
  429. 		},
  430. 		visualMap:{
  431. 			
  432. 			type: 'continuous',
  433. 			min: 0,
  434. 			max: 200,
  435. 			calculable: true,
  436. 			inRange:{
  437. 			
  438. 				color:[
  439. 					'#50a3ba','#eac736','#d94e5d'
  440. 				],
  441. 				textStyle:{
  442. 					color:'#000000'
  443. 				},
  444. 				left:'right'
  445. 			}
  446. 		},
  447. 		series: [
  448. 		{
  449. 			name: '岗位数量',
  450. 			type: 'scatter',
  451. 			coordinateSystem: 'geo',
  452. 			data: convertData(data)
  453. 		}
  454. 		]
  455. 	};
  456. 	mychart.setOption(option)
  457. 	
  458. </script>
  459.  
  460.  
  461. </body>
  462.  
  463.  
  464. </html>

 

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