echarts_geoline.html 14 KB

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  1. <!--********************************************************************
  2. * Copyright© 2000 - 2021 SuperMap Software Co.Ltd. All rights reserved.
  3. *********************************************************************-->
  4. <html>
  5. <head>
  6. <meta charset='utf-8'/>
  7. <title data-i18n="resources.title_geoline"></title>
  8. <meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no'/>
  9. <script type="text/javascript" src="../js/include-web.js"></script>
  10. <style>
  11. body {
  12. margin: 0;
  13. padding: 0;
  14. }
  15. #map {
  16. position: absolute;
  17. top: 0;
  18. bottom: 0;
  19. width: 100%;
  20. }
  21. </style>
  22. </head>
  23. <body>
  24. <div id='map'></div>
  25. <script type="text/javascript" exclude='iclient-mapboxgl' include="echarts"
  26. src="../../dist/mapboxgl/include-mapboxgl.js"></script>
  27. <script type="text/javascript">
  28. var attribution = "<a href='https://www.mapbox.com/about/maps/' target='_blank'>© Mapbox </a>" +
  29. " with <span>© <a href='https://iclient.supermap.io' target='_blank'>SuperMap iClient</a> | </span>" +
  30. " Image <span>© <a href='http://support.supermap.com.cn/product/iServer.aspx' target='_blank'>SuperMap iServer </a> | </span>" +
  31. " <a href='https://echarts.baidu.com' target='_blank'>© 2018 " + resources.title_3baidu + " ECharts</a>";
  32. var host = window.isLocal ? window.server : "https://iserver.supermap.io";
  33. var tileURL = host + "/iserver/services/map-china400/rest/maps/ChinaDark/zxyTileImage.png?z={z}&x={x}&y={y}";
  34. var map = new mapboxgl.Map({
  35. container: 'map',
  36. style: {
  37. "version": 8,
  38. "sources": {
  39. "raster-tiles": {
  40. "attribution": attribution,
  41. "type": "raster",
  42. "tiles": [tileURL],
  43. "tileSize": 256,
  44. },
  45. },
  46. "layers": [{
  47. "id": "simple-tiles",
  48. "type": "raster",
  49. "source": "raster-tiles",
  50. "minzoom": 0,
  51. "maxzoom": 22
  52. }]
  53. },
  54. center: [112, 37.94],
  55. zoom: 3
  56. });
  57. map.addControl(new mapboxgl.NavigationControl(), 'top-left');
  58. var geoCoordMap = {
  59. '上海': [121.4648, 31.2891],
  60. '东莞': [113.8953, 22.901],
  61. '东营': [118.7073, 37.5513],
  62. '中山': [113.4229, 22.478],
  63. '临汾': [111.4783, 36.1615],
  64. '临沂': [118.3118, 35.2936],
  65. '丹东': [124.541, 40.4242],
  66. '丽水': [119.5642, 28.1854],
  67. '乌鲁木齐': [87.9236, 43.5883],
  68. '佛山': [112.8955, 23.1097],
  69. '保定': [115.0488, 39.0948],
  70. '兰州': [103.5901, 36.3043],
  71. '包头': [110.3467, 41.4899],
  72. '北京': [116.4551, 40.2539],
  73. '北海': [109.314, 21.6211],
  74. '南京': [118.8062, 31.9208],
  75. '南宁': [108.479, 23.1152],
  76. '南昌': [116.0046, 28.6633],
  77. '南通': [121.1023, 32.1625],
  78. '厦门': [118.1689, 24.6478],
  79. '台州': [121.1353, 28.6688],
  80. '合肥': [117.29, 32.0581],
  81. '呼和浩特': [111.4124, 40.4901],
  82. '咸阳': [108.4131, 34.8706],
  83. '哈尔滨': [127.9688, 45.368],
  84. '唐山': [118.4766, 39.6826],
  85. '嘉兴': [120.9155, 30.6354],
  86. '大同': [113.7854, 39.8035],
  87. '大连': [122.2229, 39.4409],
  88. '天津': [117.4219, 39.4189],
  89. '太原': [112.3352, 37.9413],
  90. '威海': [121.9482, 37.1393],
  91. '宁波': [121.5967, 29.6466],
  92. '宝鸡': [107.1826, 34.3433],
  93. '宿迁': [118.5535, 33.7775],
  94. '常州': [119.4543, 31.5582],
  95. '广州': [113.5107, 23.2196],
  96. '廊坊': [116.521, 39.0509],
  97. '延安': [109.1052, 36.4252],
  98. '张家口': [115.1477, 40.8527],
  99. '徐州': [117.5208, 34.3268],
  100. '德州': [116.6858, 37.2107],
  101. '惠州': [114.6204, 23.1647],
  102. '成都': [103.9526, 30.7617],
  103. '扬州': [119.4653, 32.8162],
  104. '承德': [117.5757, 41.4075],
  105. '拉萨': [91.1865, 30.1465],
  106. '无锡': [120.3442, 31.5527],
  107. '日照': [119.2786, 35.5023],
  108. '昆明': [102.9199, 25.4663],
  109. '杭州': [119.5313, 29.8773],
  110. '枣庄': [117.323, 34.8926],
  111. '柳州': [109.3799, 24.9774],
  112. '株洲': [113.5327, 27.0319],
  113. '武汉': [114.3896, 30.6628],
  114. '汕头': [117.1692, 23.3405],
  115. '江门': [112.6318, 22.1484],
  116. '沈阳': [123.1238, 42.1216],
  117. '沧州': [116.8286, 38.2104],
  118. '河源': [114.917, 23.9722],
  119. '泉州': [118.3228, 25.1147],
  120. '泰安': [117.0264, 36.0516],
  121. '泰州': [120.0586, 32.5525],
  122. '济南': [117.1582, 36.8701],
  123. '济宁': [116.8286, 35.3375],
  124. '海口': [110.3893, 19.8516],
  125. '淄博': [118.0371, 36.6064],
  126. '淮安': [118.927, 33.4039],
  127. '深圳': [114.5435, 22.5439],
  128. '清远': [112.9175, 24.3292],
  129. '温州': [120.498, 27.8119],
  130. '渭南': [109.7864, 35.0299],
  131. '湖州': [119.8608, 30.7782],
  132. '湘潭': [112.5439, 27.7075],
  133. '滨州': [117.8174, 37.4963],
  134. '潍坊': [119.0918, 36.524],
  135. '烟台': [120.7397, 37.5128],
  136. '玉溪': [101.9312, 23.8898],
  137. '珠海': [113.7305, 22.1155],
  138. '盐城': [120.2234, 33.5577],
  139. '盘锦': [121.9482, 41.0449],
  140. '石家庄': [114.4995, 38.1006],
  141. '福州': [119.4543, 25.9222],
  142. '秦皇岛': [119.2126, 40.0232],
  143. '绍兴': [120.564, 29.7565],
  144. '聊城': [115.9167, 36.4032],
  145. '肇庆': [112.1265, 23.5822],
  146. '舟山': [122.2559, 30.2234],
  147. '苏州': [120.6519, 31.3989],
  148. '莱芜': [117.6526, 36.2714],
  149. '菏泽': [115.6201, 35.2057],
  150. '营口': [122.4316, 40.4297],
  151. '葫芦岛': [120.1575, 40.578],
  152. '衡水': [115.8838, 37.7161],
  153. '衢州': [118.6853, 28.8666],
  154. '西宁': [101.4038, 36.8207],
  155. '西安': [109.1162, 34.2004],
  156. '贵阳': [106.6992, 26.7682],
  157. '连云港': [119.1248, 34.552],
  158. '邢台': [114.8071, 37.2821],
  159. '邯郸': [114.4775, 36.535],
  160. '郑州': [113.4668, 34.6234],
  161. '鄂尔多斯': [108.9734, 39.2487],
  162. '重庆': [107.7539, 30.1904],
  163. '金华': [120.0037, 29.1028],
  164. '铜川': [109.0393, 35.1947],
  165. '银川': [106.3586, 38.1775],
  166. '镇江': [119.4763, 31.9702],
  167. '长春': [125.8154, 44.2584],
  168. '长沙': [113.0823, 28.2568],
  169. '长治': [112.8625, 36.4746],
  170. '阳泉': [113.4778, 38.0951],
  171. '青岛': [120.4651, 36.3373],
  172. '韶关': [113.7964, 24.7028]
  173. };
  174. var BJData = [
  175. [{
  176. name: '北京'
  177. }, {
  178. name: '上海',
  179. value: 95
  180. }],
  181. [{
  182. name: '北京'
  183. }, {
  184. name: '广州',
  185. value: 90
  186. }],
  187. [{
  188. name: '北京'
  189. }, {
  190. name: '大连',
  191. value: 80
  192. }],
  193. [{
  194. name: '北京'
  195. }, {
  196. name: '南宁',
  197. value: 70
  198. }],
  199. [{
  200. name: '北京'
  201. }, {
  202. name: '南昌',
  203. value: 60
  204. }],
  205. [{
  206. name: '北京'
  207. }, {
  208. name: '拉萨',
  209. value: 50
  210. }],
  211. [{
  212. name: '北京'
  213. }, {
  214. name: '长春',
  215. value: 40
  216. }],
  217. [{
  218. name: '北京'
  219. }, {
  220. name: '包头',
  221. value: 30
  222. }],
  223. [{
  224. name: '北京'
  225. }, {
  226. name: '重庆',
  227. value: 20
  228. }],
  229. [{
  230. name: '北京'
  231. }, {
  232. name: '常州',
  233. value: 10
  234. }]
  235. ];
  236. var SHData = [
  237. [{
  238. name: '上海'
  239. }, {
  240. name: '包头',
  241. value: 95
  242. }],
  243. [{
  244. name: '上海'
  245. }, {
  246. name: '昆明',
  247. value: 90
  248. }],
  249. [{
  250. name: '上海'
  251. }, {
  252. name: '广州',
  253. value: 80
  254. }],
  255. [{
  256. name: '上海'
  257. }, {
  258. name: '郑州',
  259. value: 70
  260. }],
  261. [{
  262. name: '上海'
  263. }, {
  264. name: '长春',
  265. value: 60
  266. }],
  267. [{
  268. name: '上海'
  269. }, {
  270. name: '重庆',
  271. value: 50
  272. }],
  273. [{
  274. name: '上海'
  275. }, {
  276. name: '长沙',
  277. value: 40
  278. }],
  279. [{
  280. name: '上海'
  281. }, {
  282. name: '北京',
  283. value: 30
  284. }],
  285. [{
  286. name: '上海'
  287. }, {
  288. name: '丹东',
  289. value: 20
  290. }],
  291. [{
  292. name: '上海'
  293. }, {
  294. name: '大连',
  295. value: 10
  296. }]
  297. ];
  298. var GZData = [
  299. [{
  300. name: '广州'
  301. }, {
  302. name: '福州',
  303. value: 95
  304. }],
  305. [{
  306. name: '广州'
  307. }, {
  308. name: '太原',
  309. value: 90
  310. }],
  311. [{
  312. name: '广州'
  313. }, {
  314. name: '长春',
  315. value: 80
  316. }],
  317. [{
  318. name: '广州'
  319. }, {
  320. name: '重庆',
  321. value: 70
  322. }],
  323. [{
  324. name: '广州'
  325. }, {
  326. name: '西安',
  327. value: 60
  328. }],
  329. [{
  330. name: '广州'
  331. }, {
  332. name: '成都',
  333. value: 50
  334. }],
  335. [{
  336. name: '广州'
  337. }, {
  338. name: '常州',
  339. value: 40
  340. }],
  341. [{
  342. name: '广州'
  343. }, {
  344. name: '北京',
  345. value: 30
  346. }],
  347. [{
  348. name: '广州'
  349. }, {
  350. name: '北海',
  351. value: 20
  352. }],
  353. [{
  354. name: '广州'
  355. }, {
  356. name: '海口',
  357. value: 10
  358. }]
  359. ];
  360. var planePath =
  361. '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';
  362. var convertData = function (data) {
  363. var res = [];
  364. for (var i = 0; i < data.length; i++) {
  365. var dataItem = data[i];
  366. var fromCoord = geoCoordMap[dataItem[0].name];
  367. var toCoord = geoCoordMap[dataItem[1].name];
  368. if (fromCoord && toCoord) {
  369. res.push({
  370. fromName: dataItem[0].name,
  371. toName: dataItem[1].name,
  372. coords: [fromCoord, toCoord]
  373. });
  374. }
  375. }
  376. return res;
  377. };
  378. var color = ['#a6c84c', '#ffa022', '#46bee9'];
  379. var series = [];
  380. [
  381. ['北京', BJData],
  382. ['上海', SHData],
  383. ['广州', GZData]
  384. ].forEach(function (item, i) {
  385. series.push({
  386. name: item[0] + ' Top10',
  387. coordinateSystem: 'GLMap',
  388. type: 'lines',
  389. zlevel: 1,
  390. effect: {
  391. show: true,
  392. period: 6,
  393. trailLength: 0.7,
  394. color: '#fff',
  395. symbolSize: 3
  396. },
  397. lineStyle: {
  398. normal: {
  399. color: color[i],
  400. width: 0,
  401. curveness: 0.2
  402. }
  403. },
  404. data: convertData(item[1])
  405. }, {
  406. name: item[0] + ' Top10',
  407. coordinateSystem: 'GLMap',
  408. type: 'lines',
  409. zlevel: 2,
  410. effect: {
  411. show: true,
  412. period: 6,
  413. trailLength: 0,
  414. symbol: planePath,
  415. symbolSize: 15
  416. },
  417. lineStyle: {
  418. normal: {
  419. color: color[i],
  420. width: 1,
  421. opacity: 0.4,
  422. curveness: 0.2
  423. }
  424. },
  425. data: convertData(item[1])
  426. }, {
  427. name: item[0] + ' Top10',
  428. type: 'effectScatter',
  429. coordinateSystem: 'GLMap',
  430. zlevel: 2,
  431. rippleEffect: {
  432. brushType: 'stroke'
  433. },
  434. label: {
  435. normal: {
  436. show: true,
  437. position: 'right',
  438. formatter: '{b}'
  439. }
  440. },
  441. symbolSize: function (val) {
  442. return val[2] / 8;
  443. },
  444. itemStyle: {
  445. normal: {
  446. color: color[i]
  447. }
  448. },
  449. data: item[1].map(function (dataItem) {
  450. return {
  451. name: dataItem[1].name,
  452. value: geoCoordMap[dataItem[1].name].concat([
  453. dataItem[1].value
  454. ])
  455. };
  456. })
  457. });
  458. });
  459. option = {
  460. animation: false,
  461. GLMap: {
  462. roam: true
  463. },
  464. coordinateSystem: 'GLMap',
  465. title: {
  466. text: resources.title_geoline,
  467. subtext: resources.text_fictitiouData,
  468. left: 'center',
  469. textStyle: {
  470. color: '#fff'
  471. }
  472. },
  473. tooltip: {
  474. trigger: 'item'
  475. },
  476. legend: {
  477. orient: 'vertical',
  478. top: 'bottom',
  479. left: 'right',
  480. data: ['北京 Top10', '上海 Top10', '广州 Top10'],
  481. textStyle: {
  482. color: '#fff'
  483. },
  484. selectedMode: 'single'
  485. },
  486. geo: {
  487. map: 'GLMap',
  488. label: {
  489. emphasis: {
  490. show: false
  491. }
  492. },
  493. roam: true,
  494. itemStyle: {
  495. normal: {
  496. areaColor: '#323c48',
  497. borderColor: '#404a59'
  498. },
  499. emphasis: {
  500. areaColor: '#2a333d'
  501. }
  502. }
  503. },
  504. series: series
  505. };
  506. var echartslayer = new EchartsLayer(map);
  507. echartslayer.chart.setOption(option);
  508. </script>
  509. </body>
  510. </html>