echarts地图散点热力图

<!--https://blog.csdn.net/liangayang/article/details/83311433--><!--https://echarts.apache.org/examples/zh/editor.html?c=heatmap-map--><!--https://www.w3cschool.cn/echarts_tutorial/echarts_tutorial-659d2ggv.html--><!doctype html>
<html><head>
<meta charset="utf-8">
<title>echarts.js中国地图省份悬浮提示</title><script src="../static/jquery.js"></script>
<script src="../static/echarts.min.js"></script>
<script src="../static/china.js"></script>
</head><body><div id="main" style="height: 600px;width:900px;background:white;margin:20px 0 0;"></div><script type="text/javascript">// 全国省份列表
//[{'name': '内蒙古', 'value': 20521.74}, {'name': '吉林', 'value': 23771.9},// {'name': '四川', 'value': 111682.74}, {'name': '安徽', 'value': 26064.41},// {'name': '广西', 'value': 21120.75}, {'name': '新疆', 'value': 14663.75},// {'name': '河南', 'value': 23466.83}, {'name': '海南', 'value': 792.0},// {'name': '甘肃', 'value': 8764.08}, {'name': '西藏', 'value': 681.54},// {'name': '贵州', 'value': 21854.69}, {'name': '辽宁', 'value': 15288.8},// {'name': '陕西', 'value': 16044.6}]
var geoCoordMap = {"陕西":[108.93,34.27],"辽宁":[123.43,41.8],"贵州":[106.63,26.65 ],"西藏":[91.13,29.65],"甘肃":[103.82,36.07],"海南":[110.32,20.03],"河南":[113.62,34.75],"新疆":[87.62,43.82],"广西":[108.37,22.82],"安徽":[117.25,31.83],"四川":[104.07,30.67],"内蒙古":[111.73,40.83],"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]
};var convertData = function (data) {var res = [];for (var i = 0; i < data.length; i++) {var geoCoord = geoCoordMap[data[i].name];if (geoCoord) {res.push(geoCoord.concat(data[i].value));}}return res;
};option = {title: {text: '各城市间夜数',textStyle:{color:'red',fontWeight:'400'},x:'center',   // 设置标题居中y:'top',},backgroundColor: '#404a59', // 背景色,默认无背景。//visualMap是视觉映射组件,用于进行『视觉编码』,也就是将数据映射到视觉元素(视觉通道)visualMap: {// 组件可以定义多个,从而可以同时对数据中的多个维度进行视觉映射。min: 700,max: 28000,splitNumber: 10,inRange: {  // 定义 在选中范围中 的视觉元素。color: ['#d94e5d','#eac736','#50a3ba'].reverse()},textStyle: {color: '#fff',fontWeight:'400',fontSize:'12'}},geo: {  // 地理坐标系组件。地理坐标系组件用于地图的绘制,支持在地理坐标系上绘制散点图,线集。map: 'china',// 地图类型,有两种,1.直接 script 标签引入的 js 文件,引入后会自动注册地图名字和数据//  JSON 文件,需要通过 AJAX 异步加载后手动注册。roam: true, // 是否开启鼠标缩放和平移漫游。默认不开启,true是开启itemStyle: {  // 地图区域的多边形 图形样式。areaColor: '#323c48',  // 地图区域的颜色。borderColor: '#111'  // 图形的描边颜色。支持的颜色格式同 color,不支持回调函数。},emphasis: {  // 高亮状态下的多边形和标签样式。label: {show: false},itemStyle: {areaColor: '#2a333d'  // 地图区域的颜色。}}},series: [{name: 'AQI',type: 'heatmap', //热力图属性coordinateSystem: 'geo',// 该系列使用的坐标系,可选://'cartesian2d'使用二维的直角坐标系(也称笛卡尔坐标系),通过 xAxisIndex、yAxisIndex 指定相应的坐标轴组件。//'geo'使用地理坐标系,通过 geoIndex 指定相应的地理坐标系组件。pointSize:'20', // 每个点的大小,在地理坐标系(coordinateSystem: 'geo')上有效。blurSize:'20', // 每个点模糊的大小,在地理坐标系(coordinateSystem: 'geo')上有效。minOpacity:'1', // 最小的透明度,在地理坐标系(coordinateSystem: 'geo')上有效。maxOpacity:'1', // 最大的透明度,在地理坐标系(coordinateSystem: 'geo')上有效。data: convertData({{x|safe}})}]};
//初始化echarts实例
var myChart = echarts.init(document.getElementById('main'));
//使用制定的配置项和数据显示图表
myChart.setOption(option);
</script></body>
</html>


<!--https://blog.csdn.net/liangayang/article/details/83311433--><!doctype html>
<html><head>
<meta charset="utf-8">
<title>echarts.js中国地图省份悬浮提示</title><script src="http://code.jquery.com/jquery-1.12.1.min.js"></script>
<script src="echarts.min.js"></script>
<script src="china.js"></script>
</head><body><div id="container" style="height: 800px;width:1200px;background:white;margin:20px 0 0;"></div><script type="text/javascript">// 全国省份列表function randomData() {return Math.round(Math.random()*500);
}var dataMap =[{name: '北京',value: '100' },{name: '天津',value: randomData() },{name: '上海',value: randomData() },{name: '重庆',value: randomData() },{name: '河北',value: randomData() },{name: '河南',value: randomData() },{name: '云南',value: randomData() },{name: '辽宁',value: randomData() },{name: '黑龙江',value: randomData() },{name: '湖南',value: randomData() },{name: '安徽',value: randomData() },{name: '山东',value: randomData() },{name: '新疆',value: randomData() },{name: '江苏',value: randomData() },{name: '浙江',value: randomData() },{name: '江西',value: randomData() },{name: '湖北',value: randomData() },{name: '广西',value: randomData() },{name: '甘肃',value: randomData() },{name: '山西',value: randomData() },{name: '内蒙古',value: randomData() },{name: '陕西',value: randomData() },{name: '吉林',value: randomData() },{name: '福建',value: randomData() },{name: '贵州',value: randomData() },{name: '广东',value: randomData() },{name: '青海',value: randomData() },{name: '西藏',value: randomData() },{name: '四川',value: randomData() },{name: '宁夏',value: randomData() },{name: '海南',value: randomData() },{name: '台湾',value: randomData() },{name: '香港',value: randomData() },{name: '澳门',value: randomData() },{name: '南海诸岛',value: randomData() }
];
// 需要在页面上直接标记出来的城市var specialMap = [];// 对dataMap进行处理,使其可以直接在页面上展示for (var i = 0; i < specialMap.length; i++) {for (var j = 0; j < dataMap.length; j++) {if (specialMap[i] == dataMap[j].name) {dataMap[j].selected = true;break;}}}var option = {tooltip: {formatter: function (params) {var info = '<p style="font-size:18px">' + params.name + '</p><p style="font-size:14px">这里可以写一些,想展示在页面上的别的信息</p>'return info;},backgroundColor: "#ff7f50",//提示标签背景颜色textStyle: { color: "#fff" } //提示标签字体颜色},
//左侧小导航图标visualMap: {  //组件可以定义多个,从而可以同时对数据中的多个维度进行视觉映射。show : true,x: 'left',y: 'center',splitList: [{start: 500, end:600},{start: 400, end: 500},{start: 300, end: 400},{start: 200, end: 300},{start: 100, end: 200},{start: 0, end: 100},],color: ['#5475f5', '#9feaa5', '#85daef','#74e2ca', '#e6ac53', '#9fb5ea']},series: [{name: '中国',type: 'map',mapType: 'china',label: {normal: {show: true,//显示省份标签},emphasis: {show: true,//对应的鼠标悬浮效果}},data: dataMap}]
};
//初始化echarts实例
var myChart = echarts.init(document.getElementById('container'));
//使用制定的配置项和数据显示图表
myChart.setOption(option);
</script></body>
</html>

<head><meta charset="utf-8" /><title>echarts中国地图数据</title><script type="text/javascript" src="../static/echarts.min.js" ></script><script type="text/javascript" src="../static/china.js" ></script><script type="text/javascript" src="../static/bmap.js" ></script></head><body><div id="main" style="width: 600px;height:400px;"></div><script>//初始化echarts实例var myChart = echarts.init(document.getElementById('main'));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]
};var convertData = function (data) {var res = [];for (var i = 0; i < data.length; i++) {var geoCoord = geoCoordMap[data[i].name];if (geoCoord) {res.push(geoCoord.concat(data[i].value));}}return res;
};var option = {backgroundColor: '#404a59',title: {text: '全国主要城市空气质量',subtext: 'data from PM25.in',sublink: 'http://www.pm25.in',left: 'center',textStyle: {color: '#fff'}},tooltip: {trigger: 'item'// 数据项图形触发,主要在散点图,饼图等无类目轴的图表中使用。},legend: {orient: 'vertical',// 图例列表的布局朝向。可选'horizontal'和'vertical'top: 'bottom',left: 'right',data:['pm2.5'],textStyle: {color: '#fff'}},visualMap: {min: 0,max: 300,splitNumber: 5,// 对于连续型数据,自动平均切分成几段。默认为5段。// 连续数据的范围需要 max 和 min 来指定。color: ['#d94e5d','#eac736','#50a3ba'],textStyle: {color: '#fff'}},geo: {map: 'china',label: {emphasis: {  // 高亮状态下的多边形和标签样式。show: false}},itemStyle: {normal: {areaColor: '#323c48',borderColor: '#111'},emphasis: {areaColor: '#2a333d'}}},series: [{name: 'pm2.5',type: 'scatter',coordinateSystem: 'geo',data: convertData([{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: "莱西", value: 21},{name: "日照", value: 21},{name: "胶南", value: 22},{name: "南通", value: 23},{name: "拉萨", value: 24},{name: "云浮", 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: "厦门", value: 26},{name: "汕尾", value: 26},{name: "潮州", value: 26},{name: "丹东", value: 27},{name: "太仓", value: 27},{name: "曲靖", value: 27},{name: "烟台", value: 28},{name: "福州", value: 29},{name: "瓦房店", value: 30},{name: "即墨", value: 30},{name: "抚顺", value: 31},{name: "玉溪", value: 31},{name: "张家口", value: 31},{name: "阳泉", value: 31},{name: "莱州", value: 32},{name: "湖州", value: 32},{name: "汕头", value: 32},{name: "昆山", value: 33},{name: "宁波", value: 33},{name: "湛江", value: 33},{name: "揭阳", value: 34},{name: "荣成", value: 34},{name: "连云港", value: 35},{name: "葫芦岛", value: 35},{name: "常熟", value: 36},{name: "东莞", value: 36},{name: "河源", value: 36},{name: "淮安", value: 36},{name: "泰州", value: 36},{name: "南宁", value: 37},{name: "营口", value: 37},{name: "惠州", value: 37},{name: "江阴", value: 37},{name: "蓬莱", value: 37},{name: "韶关", value: 38},{name: "嘉峪关", value: 38},{name: "广州", value: 38},{name: "延安", value: 38},{name: "太原", value: 39},{name: "清远", value: 39},{name: "中山", value: 39},{name: "昆明", value: 39},{name: "寿光", value: 40},{name: "盘锦", value: 40},{name: "长治", value: 41},{name: "深圳", value: 41},{name: "珠海", value: 42},{name: "宿迁", value: 43},{name: "咸阳", value: 43},{name: "铜川", value: 44},{name: "平度", value: 44},{name: "佛山", value: 44},{name: "海口", value: 44},{name: "江门", value: 45},{name: "章丘", value: 45},{name: "肇庆", value: 46},{name: "大连", value: 47},{name: "临汾", value: 47},{name: "吴江", value: 47},{name: "石嘴山", value: 49},{name: "沈阳", value: 50},{name: "苏州", value: 50},{name: "茂名", value: 50},{name: "嘉兴", value: 51},{name: "长春", value: 51},{name: "胶州", value: 52},{name: "银川", value: 52},{name: "张家港", value: 52},{name: "三门峡", value: 53},{name: "锦州", value: 54},{name: "南昌", value: 54},{name: "柳州", value: 54},{name: "三亚", value: 54},{name: "自贡", value: 56},{name: "吉林", value: 56},{name: "阳江", value: 57},{name: "泸州", value: 57},{name: "西宁", value: 57},{name: "宜宾", value: 58},{name: "呼和浩特", value: 58},{name: "成都", value: 58},{name: "大同", value: 58},{name: "镇江", value: 59},{name: "桂林", value: 59},{name: "张家界", value: 59},{name: "宜兴", value: 59},{name: "北海", value: 60},{name: "西安", value: 61},{name: "金坛", value: 62},{name: "东营", value: 62},{name: "牡丹江", value: 63},{name: "遵义", value: 63},{name: "绍兴", value: 63},{name: "扬州", value: 64},{name: "常州", value: 64},{name: "潍坊", value: 65},{name: "重庆", value: 66},{name: "台州", value: 67},{name: "南京", value: 67},{name: "滨州", value: 70},{name: "贵阳", value: 71},{name: "无锡", value: 71},{name: "本溪", value: 71},{name: "克拉玛依", value: 72},{name: "渭南", value: 72},{name: "马鞍山", value: 72},{name: "宝鸡", 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: "包头", value: 80},{name: "绵阳", value: 80},{name: "乌鲁木齐", value: 84},{name: "枣庄", value: 84},{name: "杭州", value: 84},{name: "淄博", value: 85},{name: "鞍山", value: 86},{name: "溧阳", value: 86},{name: "库尔勒", value: 86},{name: "安阳", value: 90},{name: "开封", value: 90},{name: "济南", value: 92},{name: "德阳", value: 93},{name: "温州", value: 95},{name: "九江", value: 96},{name: "邯郸", value: 98},{name: "临安", value: 99},{name: "兰州", value: 99},{name: "沧州", value: 100},{name: "临沂", value: 103},{name: "南充", value: 104},{name: "天津", value: 105},{name: "富阳", value: 106},{name: "泰安", value: 112},{name: "诸暨", value: 112},{name: "郑州", value: 113},{name: "哈尔滨", value: 114},{name: "聊城", value: 116},{name: "芜湖", value: 117},{name: "唐山", value: 119},{name: "平顶山", value: 119},{name: "邢台", value: 119},{name: "德州", value: 120},{name: "济宁", value: 120},{name: "荆州", value: 127},{name: "宜昌", value: 130},{name: "义乌", value: 132},{name: "丽水", value: 133},{name: "洛阳", value: 134},{name: "秦皇岛", value: 136},{name: "株洲", value: 143},{name: "石家庄", value: 147},{name: "莱芜", value: 148},{name: "常德", value: 152},{name: "保定", value: 153},{name: "湘潭", value: 154},{name: "金华", value: 157},{name: "岳阳", value: 169},{name: "长沙", value: 175},{name: "衢州", value: 177},{name: "廊坊", value: 193},{name: "菏泽", value: 194},{name: "合肥", value: 229},{name: "武汉", value: 273},{name: "大庆", value: 279}]),symbolSize: 12,label: {normal: {show: false},emphasis: {show: false}},itemStyle: {emphasis: {borderColor: '#fff',borderWidth: 1}}}]
}//使用制定的配置项和数据显示图表myChart.setOption(option);</script></body>


<!--https://www.cnblogs.com/luna666/p/9007263.html--><head><meta charset="utf-8" /><title>echarts中国地图数据</title><script type="text/javascript" src="../static/echarts.min.js" ></script><script type="text/javascript" src="../static/china.js" ></script></head><body><div id="main" style="width: 600px;height:400px;"></div><script>//初始化echarts实例var myChart = echarts.init(document.getElementById('main'));function randomData() {return Math.round(Math.random()*500);
}
var mydata = [{name: '北京',value: '100' },{name: '天津',value: randomData() },{name: '上海',value: randomData() },{name: '重庆',value: randomData() },{name: '河北',value: randomData() },{name: '河南',value: randomData() },{name: '云南',value: randomData() },{name: '辽宁',value: randomData() },{name: '黑龙江',value: randomData() },{name: '湖南',value: randomData() },{name: '安徽',value: randomData() },{name: '山东',value: randomData() },{name: '新疆',value: randomData() },{name: '江苏',value: randomData() },{name: '浙江',value: randomData() },{name: '江西',value: randomData() },{name: '湖北',value: randomData() },{name: '广西',value: randomData() },{name: '甘肃',value: randomData() },{name: '山西',value: randomData() },{name: '内蒙古',value: randomData() },{name: '陕西',value: randomData() },{name: '吉林',value: randomData() },{name: '福建',value: randomData() },{name: '贵州',value: randomData() },{name: '广东',value: randomData() },{name: '青海',value: randomData() },{name: '西藏',value: randomData() },{name: '四川',value: randomData() },{name: '宁夏',value: randomData() },{name: '海南',value: randomData() },{name: '台湾',value: randomData() },{name: '香港',value: randomData() },{name: '澳门',value: randomData() }];var optionMap = {backgroundColor: '#FFFFFF',title: {text: '全国地图大数据',subtext: '',x:'center'},tooltip : {trigger: 'item'},//左侧小导航图标visualMap: {show : true,x: 'left',y: 'center',splitList: [{start: 500, end:600},{start: 400, end: 500},{start: 300, end: 400},{start: 200, end: 300},{start: 100, end: 200},{start: 0, end: 100},],color: ['#5475f5', '#9feaa5', '#85daef','#74e2ca', '#e6ac53', '#9fb5ea']},//配置属性series: [{name: '数据',type: 'map',mapType: 'china',roam: true,label: {normal: {show: true  //省份名称},emphasis: {show: false}},data:mydata  //数据}]};//使用制定的配置项和数据显示图表myChart.setOption(optionMap);</script></body>

echarts地图散点热力图1相关推荐

  1. vue搭配echarts做地图散点效果以及飞机迁徙图

    记录一下自己vue项目中做的echarts地图分布散点效果 1.项目安装echarts 在已经生成的vue项目根目录运行安装echarts: npm install echarts -S 2.百度地图 ...

  2. Echarts地图实现散点配置

    关于Echarts地图添加散点,以及地图label的显示,记录如下: 需求: 关于这个地图的需求: 地图label上体现对比效果,差值大于0 红色,小于0 绿色 散点图要求涟漪效果,并默认只展示TOP ...

  3. Echarts结合百度地图API绘制热力图

    最近项目中需要使用echarts与百度地图API结合来绘制事故发生热力图,在将其与百度地图结合的过程中遇到了一些问题,现将其过程与解决方案记录下,以供日后参考.echarts中结合百度地图API的热力 ...

  4. echarts 地图类型热力图

    地图主要用于地理区域数据的可视化,配合 visualMap 组件用于展示不同区域的人口分布密度等数据. visualMap 是视觉映射组件,用于进行『视觉编码』,也就是将数据映射到视觉元素(视觉通道) ...

  5. echarts + vue 实现人口热力图显示,包含数据结构

    echarts + vue 实现人口热力图显示,包含数据结构 <!-- 热力图 --> <template><div id="myChart" sty ...

  6. Echarts数据可视化series-heatmap热力图,开发全解+完美注释

    全栈工程师开发手册 (作者:栾鹏) Echarts数据可视化开发代码注释全解 Echarts数据可视化开发参数配置全解 6大公共组件详解(点击进入): title详解. tooltip详解.toolb ...

  7. echarts 地图 加涟漪 加路线 加移入

    前言 echarts地图,点对点的动画效果,指向高亮 效果图 代码详解 // 请当做组件引入使用 坐标自行找一下 <template><!-- 地图容器 --><div ...

  8. echarts 地图九状线显示钓鱼岛系列 (3) 之 vue项目

    我引入的是    "echarts": "^4.2.1" (地图对比)     (china.js) (china1.js) 1.首先需要在node_modul ...

  9. 高德地图使用、echarts地图等地图设置

    1.高德地图使用 前提准备: 1.打开高德地图开方平台,注册账号: https://console.amap.com/dev/key/app 2.创建一个应用,获取key值. 一.引入相关资源 < ...

最新文章

  1. PS5 发布,揭秘真假难辨的虚拟和现实
  2. python中修改工作目录
  3. b/s结构中ajax技术浅析,B/S架构WEB程序中AJAX异步传输技术的应用研究
  4. c# mongodb or查询_C# MongoDB 查询方法
  5. 基于无监督深度学习的单目视觉的深度和自身运动轨迹估计的深度神经模型
  6. 计算机类中外合作办学情况,郑州大学2021年河南省本科一批各专业录取分数统计...
  7. ❤️《微服务开发—Swagger》(建议收藏)
  8. [知乎] 端游、手游服务端架构演变
  9. Apache CXF 入门第一个示例
  10. idea svn回退版本_mac下使用svn通过终端回退版本到某个版本号 - 博客频道 - CSDN.NET...
  11. 【行业专题报告】城市、智慧城市-专题资料
  12. 正在构建的“大而全”的网络帝国 --- 腾讯
  13. 基于Tushare量化分析示例
  14. PS 图像调整算法——饱和度调整
  15. 2个月快速通过PMP证书的经验
  16. 多线程模拟火车站售票
  17. 【数据结构课程设计报告】电话号码查询系统(Java实现)
  18. springcloud适配mysql和oracle数据库
  19. 百度搜狗360快速排名可以解决网站排名的哪些问题呢?
  20. 基于KPCA 和 STFT 非侵入式负荷监控(Matlab代码实现)

热门文章

  1. 【RTX51 Tiny入门】08_Conf_tny.A51配置文件
  2. kindle paperwhite折腾记
  3. spring boot所打的jar在服务器启动时,日志打印时间、jar所使用时间和系统当前时间不一致
  4. 如何获取由MATLAB神经网络工具箱训练得到的神经网络的隐含层输出
  5. 支付宝生活号关联小程序能力解读
  6. Hadoop pig进阶语法
  7. 淘晶驰 usart hmi( 串口屏)介绍
  8. 代数方程根在复平面上分布的几何证明
  9. java爬虫httpclient循环重定向的处理
  10. 这是一个php中快速排序字母,php 快速排序