BIGEMPA Js API示例中心
<!DOCTYPE html>
<html>
<head>
<meta charset='UTF-8' />
<meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no' />
<!--
以下CSS地址請(qǐng)?jiān)诎惭b軟件了替換成本地的地址
CSS地址請(qǐng)使用:
http://localhost:9000/bigemap.js/v2.1.0/bigemap.css
軟件下載地址 http://www.bjxdny.cn/reader/download/detail201802017.html
-->
<link href="http://ua.bigemap.com:30081/bmsdk/bigemap.js/v2.1.0/bigemap.css" rel="stylesheet"/>
<!--
JS地址請(qǐng)使用：
http://localhost:9000/bigemap.js/v2.1.0/bigemap.js
-->
<script src="http://ua.bigemap.com:30081/bmsdk/bigemap.js/v2.1.0/bigemap.js"></script>
<script type="text/javascript" src="/Public/offline/js/echarts.min.js"></script>
<script src="/Public/offline/iclient/js/iclient9.min.js"></script>
<style>
body { margin: 0; padding: 0;}
#map { position: absolute; top: 0; bottom: 0; width: 100%; }
</style>
<title>Google Map Streets</title>
</head>
<body>
<div id='map'></div>
<script>
//軟件配置信息地址，軟件安裝完成之后使用本地地址，如：http://localhost:9000
BM.Config.HTTP_URL = "http://ua.bigemap.com:30081/bmsdk/"
// 在ID為map的元素中實(shí)例化一個(gè)地圖，并設(shè)置地圖的ID號(hào)為 bigemap.zhongkexingtu，ID號(hào)程序自動(dòng)生成，無需手動(dòng)配置，并設(shè)置地圖的投影為百度地圖 ，中心點(diǎn)，默認(rèn)的級(jí)別和顯示級(jí)別控件
var map = BM.map('map','bigemap.dc-tian-w-satellite', {center: [32, 108], zoom: 4, zoomControl: true,attributionControl:false });
var data = [
{name: '海門', value: 9},
{name: '鄂爾多斯', value: 12},
{name: '招遠(yuǎn)', value: 12},
{name: '舟山', value: 12},
{name: '齊齊哈爾', value: 14},
{name: '鹽城', value: 15},
{name: '赤峰', 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: '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: '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(tái)', 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: '昆山', value: 33},
{name: '寧波', value: 33},
{name: '湛江', value: 33},
{name: '揭陽', value: 34},
{name: '榮成', value: 34},
{name: '連云港', 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(guān)', value: 38},
{name: '嘉峪關(guān)', value: 38},
{name: '廣州', value: 38},
{name: '延安', value: 38},
{name: '太原', value: 39},
{name: '清遠(yuǎn)', 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: '沈陽', 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(zhèn)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(yáng)州', value: 64},
{name: '常州', value: 64},
{name: '濰坊', value: 65},
{name: '重慶', value: 66},
{name: '臺(tái)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(jì)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(tái)', value: 119},
{name: '德州', value: 120},
{name: '濟(jì)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(yuǎn)': [120.38, 37.35],
'舟山': [122.207216, 29.985295],
'齊齊哈爾': [123.97, 47.33],
'鹽城': [120.13, 33.38],
'赤峰': [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],
'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],
'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(tái)': [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],
'昆山': [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],
'連云港': [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(guān)': [113.62, 24.84],
'嘉峪關(guān)': [98.289152, 39.77313],
'廣州': [113.23, 23.16],
'延安': [109.47, 36.6],
'太原': [112.53, 37.87],
'清遠(yuǎn)': [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],
'沈陽': [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(zhèn)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(yáng)州': [119.42, 32.39],
'常州': [119.95, 31.79],
'濰坊': [119.1, 36.62],
'重慶': [106.54, 29.59],
'臺(tái)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(jì)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(tái)': [114.48, 37.05],
'德州': [116.29, 37.45],
'濟(jì)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;
};
option = {
title: {
text:'全國主要城市空氣質(zhì)量圖',
subtext: 'data from PM25.in',
textStyle:{
color:'#f1f1f1',
fontSize:25
},
sublink: 'http://www.pm25.in',
left: 'center'
},
tooltip: {
trigger: 'item'
},
legend: {
orient: 'vertical',
y: 'bottom',
x: 'right',
data: ['pm2.5'],
textStyle: {
color: '#fff'
}
},
series: [
{
name: 'pm2.5',
type: 'scatter',
coordinateSystem: 'leaflet',
data: convertData(data),
symbolSize: function (val) {
return val[2] / 10;
},
label: {
normal: {
formatter: '{b}',
position: 'right',
show: false
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: '#ddb926'
}
}
},
{
name: 'Top 5',
type: 'effectScatter',
coordinateSystem: 'leaflet',
data: convertData(data.sort(function (a, b) {
return b.value - a.value;
}).slice(0, 6)),
symbolSize: function (val) {
return val[2] / 10;
},
showEffectOn: 'render',
rippleEffect: {
brushType: 'stroke'
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'right',
show: true
}
},
itemStyle: {
normal: {
color: '#f4e925',
shadowBlur: 10,
shadowColor: '#333'
}
},
zlevel: 1
}
]
};
var charts=BM.supermap.echartsLayer(option).addTo(map);
//更新數(shù)據(jù)
//charts.setOption(newOptions);
//獲取 echarts 的點(diǎn)擊事件
//charts.getEcharts().on('click',function(e){console.log(e)});
</script>
</body>
</html>