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| var geoCoordMap = { |
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| "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], |
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| "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], |
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| "汕头":[116.69,23.39], |
| "昆山":[120.95,31.39], |
| "宁波":[121.56,29.86], |
| "湛江":[110.359377,21.270708], |
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| "荣成":[122.41,37.16], |
| "连云港":[119.16,34.59], |
| "葫芦岛":[120.836932,40.711052], |
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| "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], |
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| "寿光":[118.73,36.86], |
| "盘锦":[122.070714,41.119997], |
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| "深圳":[114.07,22.62], |
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| "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], |
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| "吴江":[120.63,31.16], |
| "石嘴山":[106.39,39.04], |
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| "苏州":[120.62,31.32], |
| "茂名":[110.88,21.68], |
| "嘉兴":[120.76,30.77], |
| "长春":[125.35,43.88], |
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| "柳州":[109.4,24.33], |
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| "西宁":[101.74,36.56], |
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| "大同":[113.3,40.12], |
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| "宝鸡":[107.15,34.38], |
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| "乌鲁木齐":[87.68,43.77], |
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| "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], |
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| "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], |
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| "临安":[119.72,30.23], |
| "兰州":[103.73,36.03], |
| "沧州":[116.83,38.33], |
| "临沂":[118.35,35.05], |
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| "富阳":[119.95,30.07], |
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| "衢州":[118.88,28.97], |
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| "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 PM 2.5', |
| subtext: 'data from PM25.in', |
| sublink: 'http://www.pm25.in', |
| 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' |
| } |
| } |
| }, |
| 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], |
| encode: { |
| value: 2 |
| }, |
| 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], |
| encode: { |
| value: 2 |
| }, |
| 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.on('brushselected', renderBrushed); |
| |
| // 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 |
| } |
| }); |
| } |
