geo_info_platform/js/map.js

692 lines
20 KiB
JavaScript

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 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: "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}
];
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 convertedData = [
convertData(data),
convertData(data.sort(function (a, b) {
return b.value - a.value;
}).slice(0, 6))
];
option = {
backgroundColor: '#404a59',
animation: true,
animationDuration: 1000,
animationEasing: 'cubicInOut',
animationDurationUpdate: 1000,
animationEasingUpdate: 'cubicInOut',
title: [
{
text: '全国主要城市 交易量',
subtext: 'data from yunqicl',
left: 'center',
textStyle: {
color: '#fff'
}
},
{
id: 'statistic',
right: 120,
top: 40,
width: 100,
textStyle: {
color: '#fff',
fontSize: 16
}
}
],
toolbox: {
iconStyle: {
normal: {
borderColor: '#fff'
},
emphasis: {
borderColor: '#b1e4ff'
}
},
feature: {
dataZoom: {},
brush: {
type: ['rect', 'polygon', 'clear']
},
saveAsImage : {show: true}
}
},
brush: {
outOfBrush: {
color: '#abc'
},
brushStyle: {
borderWidth: 2,
color: 'rgba(0,0,0,0.2)',
borderColor: 'rgba(0,0,0,0.5)',
},
seriesIndex: [0, 1],
throttleType: 'debounce',
throttleDelay: 300,
geoIndex: 0
},
geo: {
map: 'china',
left: '10',
right: '35%',
center: [117.98561551896913, 31.205000490896193],
zoom: 2.5,
label: {
emphasis: {
show: false
}
},
roam: true,
itemStyle: {
normal: {
areaColor: '#323c48',
borderColor: '#111'
},
emphasis: {
areaColor: '#2a333d'
}
}
},
tooltip : {
trigger: 'item'
},
grid: {
right: 40,
top: 100,
bottom: 40,
width: '30%'
},
xAxis: {
type: 'value',
scale: true,
position: 'top',
boundaryGap: false,
splitLine: {show: false},
axisLine: {show: false},
axisTick: {show: false},
axisLabel: {margin: 2, textStyle: {color: '#aaa'}},
},
yAxis: {
type: 'category',
name: 'TOP 20',
nameGap: 16,
axisLine: {show: false, lineStyle: {color: '#ddd'}},
axisTick: {show: false, lineStyle: {color: '#ddd'}},
axisLabel: {interval: 0, textStyle: {color: '#ddd'}},
data: []
},
series : [
{
name: 'pm2.5',
type: 'scatter',
coordinateSystem: 'geo',
data: convertedData[0],
symbolSize: function (val) {
return Math.max(val[2] / 10, 8);
},
label: {
normal: {
formatter: '{b}',
position: 'right',
show: false
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: '#ddb926'
}
}
},
{
name: 'Top 5',
type: 'effectScatter',
coordinateSystem: 'geo',
data: convertedData[1],
symbolSize: function (val) {
return Math.max(val[2] / 10, 8);
},
showEffectOn: 'emphasis',
rippleEffect: {
brushType: 'stroke'
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'right',
show: true
}
},
itemStyle: {
normal: {
color: '#f4e925',
shadowBlur: 10,
shadowColor: '#333'
}
},
zlevel: 1
},
{
id: 'bar',
zlevel: 2,
type: 'bar',
symbol: 'none',
itemStyle: {
normal: {
color: '#ddb926'
}
},
data: []
}
]
};
// myChart.setOption(option);
setTimeout(function () {
myChart.dispatchAction({
type: 'brush',
areas: [
{
geoIndex: 0,
brushType: 'polygon',
coordRange: [[119.72,34.85],[119.68,34.85],[119.5,34.84],[119.19,34.77],[118.76,34.63],[118.6,34.6],[118.46,34.6],[118.33,34.57],[118.05,34.56],[117.6,34.56],[117.41,34.56],[117.25,34.56],[117.11,34.56],[117.02,34.56],[117,34.56],[116.94,34.56],[116.94,34.55],[116.9,34.5],[116.88,34.44],[116.88,34.37],[116.88,34.33],[116.88,34.24],[116.92,34.15],[116.98,34.09],[117.05,34.06],[117.19,33.96],[117.29,33.9],[117.43,33.8],[117.49,33.75],[117.54,33.68],[117.6,33.65],[117.62,33.61],[117.64,33.59],[117.68,33.58],[117.7,33.52],[117.74,33.5],[117.74,33.46],[117.8,33.44],[117.82,33.41],[117.86,33.37],[117.9,33.3],[117.9,33.28],[117.9,33.27],[118.09,32.97],[118.21,32.7],[118.29,32.56],[118.31,32.5],[118.35,32.46],[118.35,32.42],[118.35,32.36],[118.35,32.34],[118.37,32.24],[118.37,32.14],[118.37,32.09],[118.44,32.05],[118.46,32.01],[118.54,31.98],[118.6,31.93],[118.68,31.86],[118.72,31.8],[118.74,31.78],[118.76,31.74],[118.78,31.7],[118.82,31.64],[118.82,31.62],[118.86,31.58],[118.86,31.55],[118.88,31.54],[118.88,31.52],[118.9,31.51],[118.91,31.48],[118.93,31.43],[118.95,31.4],[118.97,31.39],[118.97,31.37],[118.97,31.34],[118.97,31.27],[118.97,31.21],[118.97,31.17],[118.97,31.12],[118.97,31.02],[118.97,30.93],[118.97,30.87],[118.97,30.85],[118.95,30.8],[118.95,30.77],[118.95,30.76],[118.93,30.7],[118.91,30.63],[118.91,30.61],[118.91,30.6],[118.9,30.6],[118.88,30.54],[118.88,30.51],[118.86,30.51],[118.86,30.46],[118.72,30.18],[118.68,30.1],[118.66,30.07],[118.62,29.91],[118.56,29.73],[118.52,29.63],[118.48,29.51],[118.44,29.42],[118.44,29.32],[118.43,29.19],[118.43,29.14],[118.43,29.08],[118.44,29.05],[118.46,29.05],[118.6,28.95],[118.64,28.94],[119.07,28.51],[119.25,28.41],[119.36,28.28],[119.46,28.19],[119.54,28.13],[119.66,28.03],[119.78,28],[119.87,27.94],[120.03,27.86],[120.17,27.79],[120.23,27.76],[120.3,27.72],[120.42,27.66],[120.52,27.64],[120.58,27.63],[120.64,27.63],[120.77,27.63],[120.89,27.61],[120.97,27.6],[121.07,27.59],[121.15,27.59],[121.28,27.59],[121.38,27.61],[121.56,27.73],[121.73,27.89],[122.03,28.2],[122.3,28.5],[122.46,28.72],[122.5,28.77],[122.54,28.82],[122.56,28.82],[122.58,28.85],[122.6,28.86],[122.61,28.91],[122.71,29.02],[122.73,29.08],[122.93,29.44],[122.99,29.54],[123.03,29.66],[123.05,29.73],[123.16,29.92],[123.24,30.02],[123.28,30.13],[123.32,30.29],[123.36,30.36],[123.36,30.55],[123.36,30.74],[123.36,31.05],[123.36,31.14],[123.36,31.26],[123.38,31.42],[123.46,31.74],[123.48,31.83],[123.48,31.95],[123.46,32.09],[123.34,32.25],[123.22,32.39],[123.12,32.46],[123.07,32.48],[123.05,32.49],[122.97,32.53],[122.91,32.59],[122.83,32.81],[122.77,32.87],[122.71,32.9],[122.56,32.97],[122.38,33.05],[122.3,33.12],[122.26,33.15],[122.22,33.21],[122.22,33.3],[122.22,33.39],[122.18,33.44],[122.07,33.56],[121.99,33.69],[121.89,33.78],[121.69,34.02],[121.66,34.05],[121.64,34.08]]
}
]
});
}, 0);
function renderBrushed(params) {
var mainSeries = params.batch[0].selected[0];
var selectedItems = [];
var categoryData = [];
var barData = [];
var maxBar = 30;
var sum = 0;
var count = 0;
for (var i = 0; i < mainSeries.dataIndex.length; i++) {
var rawIndex = mainSeries.dataIndex[i];
var dataItem = convertedData[0][rawIndex];
var pmValue = dataItem.value[2];
sum += pmValue;
count++;
selectedItems.push(dataItem);
}
selectedItems.sort(function (a, b) {
return a.value[2] - b.value[2];
});
for (var i = 0; i < Math.min(selectedItems.length, maxBar); i++) {
categoryData.push(selectedItems[i].name);
barData.push(selectedItems[i].value[2]);
}
this.setOption({
yAxis: {
data: categoryData
},
xAxis: {
axisLabel: {show: !!count}
},
title: {
id: 'statistic',
text: count ? '平均: ' + (sum / count).toFixed(4) : ''
},
series: {
id: 'bar',
data: barData
}
});
}
// const renderFocusNodeJacency = function (params) {
// console.log('高量: ', params);
// }
const container = document.querySelector('#maps');
var myChart = echarts.init(container);
myChart.setOption(option);
myChart.on('brushselected', renderBrushed);
// myChart.on('focusnodeadjacency', renderFocusNodeJacency);
myChart.on('click', function (params) {
// renderFocusNodeJacency(params);
// renderBrushed();
// renderBrushed(params);
console.log(params);
const {seriesId, seriesIndex, seriesName, dataIndex, data, value } = params;
myChart.dispatchAction({
type: 'focusNodeAdjacency',
seriesId,
seriesIndex,
seriesName,
// 使用 dataIndex 来定位节点。
dataIndex,
});
const count = params.data[params.data.length - 1];
this.setOption({
yAxis: {
data: data
},
xAxis: {
axisLabel: {show: !!count}
},
title: {
id: 'statistic',
text: count ? '平均: ' + (1000 / count).toFixed(4) : ''
},
series: {
id: 'bar',
data: name
}
});
});