geoLine.html 17 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376
  1. <html>
  2. <head>
  3. <meta charset='utf-8'>
  4. <script src='lib/esl.js'></script>
  5. <script src='lib/config.js'></script>
  6. <script src='lib/jquery.min.js'></script>
  7. <script src='lib/facePrint.js'></script>
  8. <meta name="viewport" content="width=device-width, initial-scale=1" />
  9. </head>
  10. <body>
  11. <style>
  12. html, body, #main {
  13. width: 100%;
  14. height: 100%;
  15. margin: 0;
  16. }
  17. #pause-resume {
  18. position: absolute;
  19. left: 10;
  20. top: 10;
  21. }
  22. #info {
  23. position: fixed;
  24. left: 0;
  25. bottom: 0;
  26. height: 30px;
  27. line-height: 30px;
  28. color: yellow;
  29. font-size: 20px;
  30. }
  31. </style>
  32. <div id="main"></div>
  33. <div id="info"></div>
  34. <button id="pause-resume">Pause/Resume</button>
  35. <script>
  36. require([
  37. 'echarts'
  38. // 'echarts/chart/lines',
  39. // 'echarts/chart/effectScatter',
  40. // 'echarts/component/legend',
  41. // 'echarts/component/geo'
  42. ], function (echarts) {
  43. var geoCoordMap = {
  44. '上海': [121.4648,31.2891],
  45. '东莞': [113.8953,22.901],
  46. '东营': [118.7073,37.5513],
  47. '中山': [113.4229,22.478],
  48. '临汾': [111.4783,36.1615],
  49. '临沂': [118.3118,35.2936],
  50. '丹东': [124.541,40.4242],
  51. '丽水': [119.5642,28.1854],
  52. '乌鲁木齐': [87.9236,43.5883],
  53. '佛山': [112.8955,23.1097],
  54. '保定': [115.0488,39.0948],
  55. '兰州': [103.5901,36.3043],
  56. '包头': [110.3467,41.4899],
  57. '北京': [116.4551,40.2539],
  58. '北海': [109.314,21.6211],
  59. '南京': [118.8062,31.9208],
  60. '南宁': [108.479,23.1152],
  61. '南昌': [116.0046,28.6633],
  62. '南通': [121.1023,32.1625],
  63. '厦门': [118.1689,24.6478],
  64. '台州': [121.1353,28.6688],
  65. '合肥': [117.29,32.0581],
  66. '呼和浩特': [111.4124,40.4901],
  67. '咸阳': [108.4131,34.8706],
  68. '哈尔滨': [127.9688,45.368],
  69. '唐山': [118.4766,39.6826],
  70. '嘉兴': [120.9155,30.6354],
  71. '大同': [113.7854,39.8035],
  72. '大连': [122.2229,39.4409],
  73. '天津': [117.4219,39.4189],
  74. '太原': [112.3352,37.9413],
  75. '威海': [121.9482,37.1393],
  76. '宁波': [121.5967,29.6466],
  77. '宝鸡': [107.1826,34.3433],
  78. '宿迁': [118.5535,33.7775],
  79. '常州': [119.4543,31.5582],
  80. '广州': [113.5107,23.2196],
  81. '廊坊': [116.521,39.0509],
  82. '延安': [109.1052,36.4252],
  83. '张家口': [115.1477,40.8527],
  84. '徐州': [117.5208,34.3268],
  85. '德州': [116.6858,37.2107],
  86. '惠州': [114.6204,23.1647],
  87. '成都': [103.9526,30.7617],
  88. '扬州': [119.4653,32.8162],
  89. '承德': [117.5757,41.4075],
  90. '拉萨': [91.1865,30.1465],
  91. '无锡': [120.3442,31.5527],
  92. '日照': [119.2786,35.5023],
  93. '昆明': [102.9199,25.4663],
  94. '杭州': [119.5313,29.8773],
  95. '枣庄': [117.323,34.8926],
  96. '柳州': [109.3799,24.9774],
  97. '株洲': [113.5327,27.0319],
  98. '武汉': [114.3896,30.6628],
  99. '汕头': [117.1692,23.3405],
  100. '江门': [112.6318,22.1484],
  101. '沈阳': [123.1238,42.1216],
  102. '沧州': [116.8286,38.2104],
  103. '河源': [114.917,23.9722],
  104. '泉州': [118.3228,25.1147],
  105. '泰安': [117.0264,36.0516],
  106. '泰州': [120.0586,32.5525],
  107. '济南': [117.1582,36.8701],
  108. '济宁': [116.8286,35.3375],
  109. '海口': [110.3893,19.8516],
  110. '淄博': [118.0371,36.6064],
  111. '淮安': [118.927,33.4039],
  112. '深圳': [114.5435,22.5439],
  113. '清远': [112.9175,24.3292],
  114. '温州': [120.498,27.8119],
  115. '渭南': [109.7864,35.0299],
  116. '湖州': [119.8608,30.7782],
  117. '湘潭': [112.5439,27.7075],
  118. '滨州': [117.8174,37.4963],
  119. '潍坊': [119.0918,36.524],
  120. '烟台': [120.7397,37.5128],
  121. '玉溪': [101.9312,23.8898],
  122. '珠海': [113.7305,22.1155],
  123. '盐城': [120.2234,33.5577],
  124. '盘锦': [121.9482,41.0449],
  125. '石家庄': [114.4995,38.1006],
  126. '福州': [119.4543,25.9222],
  127. '秦皇岛': [119.2126,40.0232],
  128. '绍兴': [120.564,29.7565],
  129. '聊城': [115.9167,36.4032],
  130. '肇庆': [112.1265,23.5822],
  131. '舟山': [122.2559,30.2234],
  132. '苏州': [120.6519,31.3989],
  133. '莱芜': [117.6526,36.2714],
  134. '菏泽': [115.6201,35.2057],
  135. '营口': [122.4316,40.4297],
  136. '葫芦岛': [120.1575,40.578],
  137. '衡水': [115.8838,37.7161],
  138. '衢州': [118.6853,28.8666],
  139. '西宁': [101.4038,36.8207],
  140. '西安': [109.1162,34.2004],
  141. '贵阳': [106.6992,26.7682],
  142. '连云港': [119.1248,34.552],
  143. '邢台': [114.8071,37.2821],
  144. '邯郸': [114.4775,36.535],
  145. '郑州': [113.4668,34.6234],
  146. '鄂尔多斯': [108.9734,39.2487],
  147. '重庆': [107.7539,30.1904],
  148. '金华': [120.0037,29.1028],
  149. '铜川': [109.0393,35.1947],
  150. '银川': [106.3586,38.1775],
  151. '镇江': [119.4763,31.9702],
  152. '长春': [125.8154,44.2584],
  153. '长沙': [113.0823,28.2568],
  154. '长治': [112.8625,36.4746],
  155. '阳泉': [113.4778,38.0951],
  156. '青岛': [120.4651,36.3373],
  157. '韶关': [113.7964,24.7028]
  158. };
  159. var BJData = [
  160. [{name:'北京'}, {name:'上海',value:95}],
  161. [{name:'北京'}, {name:'广州',value:90}],
  162. [{name:'北京'}, {name:'大连',value:80}],
  163. [{name:'北京'}, {name:'南宁',value:70}],
  164. [{name:'北京'}, {name:'南昌',value:60}],
  165. [{name:'北京'}, {name:'拉萨',value:50}],
  166. [{name:'北京'}, {name:'长春',value:40}],
  167. [{name:'北京'}, {name:'包头',value:30}],
  168. [{name:'北京'}, {name:'重庆',value:20}],
  169. [{name:'北京'}, {name:'常州',value:10}]
  170. ];
  171. var SHData = [
  172. [{name:'上海'},{name:'包头',value:95}],
  173. [{name:'上海'},{name:'昆明',value:90}],
  174. [{name:'上海'},{name:'广州',value:80}],
  175. [{name:'上海'},{name:'郑州',value:70}],
  176. [{name:'上海'},{name:'长春',value:60}],
  177. [{name:'上海'},{name:'重庆',value:50}],
  178. [{name:'上海'},{name:'长沙',value:40}],
  179. [{name:'上海'},{name:'北京',value:30}],
  180. [{name:'上海'},{name:'丹东',value:20}],
  181. [{name:'上海'},{name:'大连',value:10}]
  182. ];
  183. var GZData = [
  184. [{name:'广州'},{name:'福州',value:95}],
  185. [{name:'广州'},{name:'太原',value:90}],
  186. [{name:'广州'},{name:'长春',value:80}],
  187. [{name:'广州'},{name:'重庆',value:70}],
  188. [{name:'广州'},{name:'西安',value:60}],
  189. [{name:'广州'},{name:'成都',value:50}],
  190. [{name:'广州'},{name:'常州',value:40}],
  191. [{name:'广州'},{name:'北京',value:30}],
  192. [{name:'广州'},{name:'北海',value:20}],
  193. [{name:'广州'},{name:'海口',value:10}]
  194. ];
  195. var planePath = 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z';
  196. var convertData = function (data) {
  197. var res = [];
  198. for (var i = 0; i < data.length; i++) {
  199. var dataItem = data[i];
  200. var fromCoord = geoCoordMap[dataItem[0].name];
  201. var toCoord = geoCoordMap[dataItem[1].name];
  202. if (fromCoord && toCoord) {
  203. res.push([{
  204. coord: fromCoord
  205. }, {
  206. coord: toCoord
  207. }]);
  208. }
  209. }
  210. return res;
  211. };
  212. $.get('../map/json/china.json', function (chinaJson) {
  213. echarts.registerMap('china', chinaJson);
  214. var myChart = echarts.init(document.getElementById('main'));
  215. var color = ['#a6c84c', '#ffa022', '#46bee9'];
  216. var series = [];
  217. [['北京', BJData], ['上海', SHData], ['广州', GZData]].forEach(function (item, i) {
  218. series.push({
  219. name: item[0] + ' Top10',
  220. type: 'lines',
  221. zlevel: 1,
  222. effect: {
  223. show: true,
  224. period: 6,
  225. trailLength: 0.7,
  226. color: '#fff',
  227. symbolSize: 2,
  228. // loop: false
  229. },
  230. lineStyle: {
  231. normal: {
  232. color: color[i],
  233. width: 0,
  234. curveness: 0.2
  235. }
  236. },
  237. data: convertData(item[1])
  238. },
  239. {
  240. name: item[0] + ' Top10',
  241. type: 'lines',
  242. zlevel: 2,
  243. effect: {
  244. show: true,
  245. period: 6,
  246. trailLength: 0,
  247. symbol: planePath,
  248. symbolSize: 20,
  249. // loop: false
  250. },
  251. lineStyle: {
  252. normal: {
  253. color: color[i],
  254. width: 1,
  255. opacity: 0.4,
  256. curveness: 0.2
  257. }
  258. },
  259. data: convertData(item[1])
  260. },
  261. {
  262. name: item[0] + ' Top10',
  263. type: 'effectScatter',
  264. coordinateSystem: 'geo',
  265. zlevel: 2,
  266. rippleEffect: {
  267. brushType: 'stroke'
  268. },
  269. label: {
  270. normal: {
  271. show: true,
  272. position: 'right',
  273. formatter: '{b}'
  274. }
  275. },
  276. symbolSize: function (val) {
  277. return val[2] / 8;
  278. },
  279. itemStyle: {
  280. normal: {
  281. color: color[i]
  282. }
  283. },
  284. data: item[1].map(function (dataItem) {
  285. return {
  286. name: dataItem[1].name,
  287. value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
  288. };
  289. })
  290. });
  291. });
  292. myChart.setOption({
  293. backgroundColor: '#404a59',
  294. title: {
  295. text: '全国主要城市空气质量',
  296. subtext: 'data from PM25.in',
  297. sublink: 'http://www.pm25.in',
  298. left: 'center',
  299. textStyle: {
  300. color: '#fff'
  301. }
  302. },
  303. tooltip : {
  304. trigger: 'item'
  305. },
  306. legend: {
  307. orient: 'vertical',
  308. top: 'bottom',
  309. left: 'right',
  310. data:['北京 Top10', '上海 Top10', '广州 Top10'],
  311. textStyle: {
  312. color: '#fff'
  313. },
  314. selectedMode: 'single'
  315. },
  316. geo: {
  317. map: 'china',
  318. label: {
  319. normal: {
  320. show: true,
  321. formatter: '{a}',
  322. // position: 'inside',
  323. backgroundColor: '#fff',
  324. padding: [3, 5],
  325. borderRadius: 3,
  326. borderWidth: 1,
  327. borderColor: 'rgba(0,0,0,0.5)',
  328. color: '#777'
  329. },
  330. emphasis: {
  331. }
  332. },
  333. selectedMode: 'single',
  334. roam: true,
  335. itemStyle: {
  336. normal: {
  337. areaColor: '#323c48',
  338. borderColor: '#404a59'
  339. },
  340. emphasis: {
  341. areaColor: '#2a333d'
  342. }
  343. }
  344. },
  345. series: series
  346. });
  347. myChart.on('geoselectchanged', function (param) {
  348. var selected = [];
  349. echarts.util.each(param.selected, function (v, key) {
  350. v && selected.push(key);
  351. });
  352. document.getElementById('info').innerHTML = 'SELECTED: ' + selected.join(', ');
  353. });
  354. var isPaused = false;
  355. document.getElementById('pause-resume').onclick = function () {
  356. myChart.getZr().animation[isPaused ? 'resume' : 'pause']();
  357. isPaused = !isPaused;
  358. };
  359. });
  360. });
  361. </script>
  362. </body>
  363. </html>