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 } }); });