echarts_geoline_4326.html 16 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518
  1. <!--********************************************************************
  2. * Copyright© 2000 - 2021 SuperMap Software Co.Ltd. All rights reserved.
  3. *********************************************************************-->
  4. <html>
  5. <head>
  6. <meta charset='utf-8' />
  7. <meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no' />
  8. <title data-i18n="resources.title_geolineWGS84"></title>
  9. <script type="text/javascript" include="jquery" 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" include='mapbox-gl-enhance,echarts' src="../../dist/mapboxgl/include-mapboxgl.js"></script>
  26. <script type="text/javascript">
  27. var host = window.isLocal ? window.server : "https://iserver.supermap.io";
  28. var map = new mapboxgl.Map({
  29. container: 'map',
  30. style: {
  31. "version": 8,
  32. "sources": {
  33. "raster-tiles": {
  34. "type": "raster",
  35. "tiles": [host + '/iserver/services/map-world/rest/maps/World'],
  36. "rasterSource":"iserver",
  37. "tileSize": 256,
  38. },
  39. },
  40. "layers": [{
  41. "id": "simple-tiles",
  42. "type": "raster",
  43. "source": "raster-tiles",
  44. "minzoom": 0,
  45. "maxzoom": 22
  46. }]
  47. },
  48. crs: 'EPSG:4326',
  49. center: [112, 37.94],
  50. zoom: 3
  51. });
  52. map.addControl(new mapboxgl.NavigationControl(), 'top-left');
  53. var geoCoordMap = {
  54. '上海': [121.4648, 31.2891],
  55. '东莞': [113.8953, 22.901],
  56. '东营': [118.7073, 37.5513],
  57. '中山': [113.4229, 22.478],
  58. '临汾': [111.4783, 36.1615],
  59. '临沂': [118.3118, 35.2936],
  60. '丹东': [124.541, 40.4242],
  61. '丽水': [119.5642, 28.1854],
  62. '乌鲁木齐': [87.9236, 43.5883],
  63. '佛山': [112.8955, 23.1097],
  64. '保定': [115.0488, 39.0948],
  65. '兰州': [103.5901, 36.3043],
  66. '包头': [110.3467, 41.4899],
  67. '北京': [116.4551, 40.2539],
  68. '北海': [109.314, 21.6211],
  69. '南京': [118.8062, 31.9208],
  70. '南宁': [108.479, 23.1152],
  71. '南昌': [116.0046, 28.6633],
  72. '南通': [121.1023, 32.1625],
  73. '厦门': [118.1689, 24.6478],
  74. '台州': [121.1353, 28.6688],
  75. '合肥': [117.29, 32.0581],
  76. '呼和浩特': [111.4124, 40.4901],
  77. '咸阳': [108.4131, 34.8706],
  78. '哈尔滨': [127.9688, 45.368],
  79. '唐山': [118.4766, 39.6826],
  80. '嘉兴': [120.9155, 30.6354],
  81. '大同': [113.7854, 39.8035],
  82. '大连': [122.2229, 39.4409],
  83. '天津': [117.4219, 39.4189],
  84. '太原': [112.3352, 37.9413],
  85. '威海': [121.9482, 37.1393],
  86. '宁波': [121.5967, 29.6466],
  87. '宝鸡': [107.1826, 34.3433],
  88. '宿迁': [118.5535, 33.7775],
  89. '常州': [119.4543, 31.5582],
  90. '广州': [113.5107, 23.2196],
  91. '廊坊': [116.521, 39.0509],
  92. '延安': [109.1052, 36.4252],
  93. '张家口': [115.1477, 40.8527],
  94. '徐州': [117.5208, 34.3268],
  95. '德州': [116.6858, 37.2107],
  96. '惠州': [114.6204, 23.1647],
  97. '成都': [103.9526, 30.7617],
  98. '扬州': [119.4653, 32.8162],
  99. '承德': [117.5757, 41.4075],
  100. '拉萨': [91.1865, 30.1465],
  101. '无锡': [120.3442, 31.5527],
  102. '日照': [119.2786, 35.5023],
  103. '昆明': [102.9199, 25.4663],
  104. '杭州': [119.5313, 29.8773],
  105. '枣庄': [117.323, 34.8926],
  106. '柳州': [109.3799, 24.9774],
  107. '株洲': [113.5327, 27.0319],
  108. '武汉': [114.3896, 30.6628],
  109. '汕头': [117.1692, 23.3405],
  110. '江门': [112.6318, 22.1484],
  111. '沈阳': [123.1238, 42.1216],
  112. '沧州': [116.8286, 38.2104],
  113. '河源': [114.917, 23.9722],
  114. '泉州': [118.3228, 25.1147],
  115. '泰安': [117.0264, 36.0516],
  116. '泰州': [120.0586, 32.5525],
  117. '济南': [117.1582, 36.8701],
  118. '济宁': [116.8286, 35.3375],
  119. '海口': [110.3893, 19.8516],
  120. '淄博': [118.0371, 36.6064],
  121. '淮安': [118.927, 33.4039],
  122. '深圳': [114.5435, 22.5439],
  123. '清远': [112.9175, 24.3292],
  124. '温州': [120.498, 27.8119],
  125. '渭南': [109.7864, 35.0299],
  126. '湖州': [119.8608, 30.7782],
  127. '湘潭': [112.5439, 27.7075],
  128. '滨州': [117.8174, 37.4963],
  129. '潍坊': [119.0918, 36.524],
  130. '烟台': [120.7397, 37.5128],
  131. '玉溪': [101.9312, 23.8898],
  132. '珠海': [113.7305, 22.1155],
  133. '盐城': [120.2234, 33.5577],
  134. '盘锦': [121.9482, 41.0449],
  135. '石家庄': [114.4995, 38.1006],
  136. '福州': [119.4543, 25.9222],
  137. '秦皇岛': [119.2126, 40.0232],
  138. '绍兴': [120.564, 29.7565],
  139. '聊城': [115.9167, 36.4032],
  140. '肇庆': [112.1265, 23.5822],
  141. '舟山': [122.2559, 30.2234],
  142. '苏州': [120.6519, 31.3989],
  143. '莱芜': [117.6526, 36.2714],
  144. '菏泽': [115.6201, 35.2057],
  145. '营口': [122.4316, 40.4297],
  146. '葫芦岛': [120.1575, 40.578],
  147. '衡水': [115.8838, 37.7161],
  148. '衢州': [118.6853, 28.8666],
  149. '西宁': [101.4038, 36.8207],
  150. '西安': [109.1162, 34.2004],
  151. '贵阳': [106.6992, 26.7682],
  152. '连云港': [119.1248, 34.552],
  153. '邢台': [114.8071, 37.2821],
  154. '邯郸': [114.4775, 36.535],
  155. '郑州': [113.4668, 34.6234],
  156. '鄂尔多斯': [108.9734, 39.2487],
  157. '重庆': [107.7539, 30.1904],
  158. '金华': [120.0037, 29.1028],
  159. '铜川': [109.0393, 35.1947],
  160. '银川': [106.3586, 38.1775],
  161. '镇江': [119.4763, 31.9702],
  162. '长春': [125.8154, 44.2584],
  163. '长沙': [113.0823, 28.2568],
  164. '长治': [112.8625, 36.4746],
  165. '阳泉': [113.4778, 38.0951],
  166. '青岛': [120.4651, 36.3373],
  167. '韶关': [113.7964, 24.7028]
  168. };
  169. var BJData = [
  170. [{
  171. name: '北京'
  172. }, {
  173. name: '上海',
  174. value: 95
  175. }],
  176. [{
  177. name: '北京'
  178. }, {
  179. name: '广州',
  180. value: 90
  181. }],
  182. [{
  183. name: '北京'
  184. }, {
  185. name: '大连',
  186. value: 80
  187. }],
  188. [{
  189. name: '北京'
  190. }, {
  191. name: '南宁',
  192. value: 70
  193. }],
  194. [{
  195. name: '北京'
  196. }, {
  197. name: '南昌',
  198. value: 60
  199. }],
  200. [{
  201. name: '北京'
  202. }, {
  203. name: '拉萨',
  204. value: 50
  205. }],
  206. [{
  207. name: '北京'
  208. }, {
  209. name: '长春',
  210. value: 40
  211. }],
  212. [{
  213. name: '北京'
  214. }, {
  215. name: '包头',
  216. value: 30
  217. }],
  218. [{
  219. name: '北京'
  220. }, {
  221. name: '重庆',
  222. value: 20
  223. }],
  224. [{
  225. name: '北京'
  226. }, {
  227. name: '常州',
  228. value: 10
  229. }]
  230. ];
  231. var SHData = [
  232. [{
  233. name: '上海'
  234. }, {
  235. name: '包头',
  236. value: 95
  237. }],
  238. [{
  239. name: '上海'
  240. }, {
  241. name: '昆明',
  242. value: 90
  243. }],
  244. [{
  245. name: '上海'
  246. }, {
  247. name: '广州',
  248. value: 80
  249. }],
  250. [{
  251. name: '上海'
  252. }, {
  253. name: '郑州',
  254. value: 70
  255. }],
  256. [{
  257. name: '上海'
  258. }, {
  259. name: '长春',
  260. value: 60
  261. }],
  262. [{
  263. name: '上海'
  264. }, {
  265. name: '重庆',
  266. value: 50
  267. }],
  268. [{
  269. name: '上海'
  270. }, {
  271. name: '长沙',
  272. value: 40
  273. }],
  274. [{
  275. name: '上海'
  276. }, {
  277. name: '北京',
  278. value: 30
  279. }],
  280. [{
  281. name: '上海'
  282. }, {
  283. name: '丹东',
  284. value: 20
  285. }],
  286. [{
  287. name: '上海'
  288. }, {
  289. name: '大连',
  290. value: 10
  291. }]
  292. ];
  293. var GZData = [
  294. [{
  295. name: '广州'
  296. }, {
  297. name: '福州',
  298. value: 95
  299. }],
  300. [{
  301. name: '广州'
  302. }, {
  303. name: '太原',
  304. value: 90
  305. }],
  306. [{
  307. name: '广州'
  308. }, {
  309. name: '长春',
  310. value: 80
  311. }],
  312. [{
  313. name: '广州'
  314. }, {
  315. name: '重庆',
  316. value: 70
  317. }],
  318. [{
  319. name: '广州'
  320. }, {
  321. name: '西安',
  322. value: 60
  323. }],
  324. [{
  325. name: '广州'
  326. }, {
  327. name: '成都',
  328. value: 50
  329. }],
  330. [{
  331. name: '广州'
  332. }, {
  333. name: '常州',
  334. value: 40
  335. }],
  336. [{
  337. name: '广州'
  338. }, {
  339. name: '北京',
  340. value: 30
  341. }],
  342. [{
  343. name: '广州'
  344. }, {
  345. name: '北海',
  346. value: 20
  347. }],
  348. [{
  349. name: '广州'
  350. }, {
  351. name: '海口',
  352. value: 10
  353. }]
  354. ];
  355. var planePath =
  356. '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';
  357. var convertData = function (data) {
  358. var res = [];
  359. for (var i = 0; i < data.length; i++) {
  360. var dataItem = data[i];
  361. var fromCoord = geoCoordMap[dataItem[0].name];
  362. var toCoord = geoCoordMap[dataItem[1].name];
  363. if (fromCoord && toCoord) {
  364. res.push({
  365. fromName: dataItem[0].name,
  366. toName: dataItem[1].name,
  367. coords: [fromCoord, toCoord]
  368. });
  369. }
  370. }
  371. return res;
  372. };
  373. var color = ['#C70022', '#ffa022', '#46bee9'];
  374. var series = [];
  375. [
  376. ['北京', BJData],
  377. ['上海', SHData],
  378. ['广州', GZData]
  379. ].forEach(function (item, i) {
  380. series.push({
  381. name: item[0] + ' Top10',
  382. coordinateSystem: 'GLMap',
  383. type: 'lines',
  384. zlevel: 1,
  385. effect: {
  386. show: true,
  387. period: 6,
  388. trailLength: 0.7,
  389. color: '#fff',
  390. symbolSize: 3
  391. },
  392. lineStyle: {
  393. normal: {
  394. color: color[i],
  395. width: 0,
  396. curveness: 0.2
  397. }
  398. },
  399. data: convertData(item[1])
  400. }, {
  401. name: item[0] + ' Top10',
  402. coordinateSystem: 'GLMap',
  403. type: 'lines',
  404. zlevel: 2,
  405. effect: {
  406. show: true,
  407. period: 6,
  408. trailLength: 0,
  409. symbol: planePath,
  410. symbolSize: 15
  411. },
  412. lineStyle: {
  413. normal: {
  414. color: color[i],
  415. width: 1,
  416. opacity: 0.4,
  417. curveness: 0.2
  418. }
  419. },
  420. data: convertData(item[1])
  421. }, {
  422. name: item[0] + ' Top10',
  423. type: 'effectScatter',
  424. coordinateSystem: 'GLMap',
  425. zlevel: 2,
  426. rippleEffect: {
  427. brushType: 'stroke'
  428. },
  429. label: {
  430. normal: {
  431. show: true,
  432. position: 'right',
  433. formatter: '{b}'
  434. }
  435. },
  436. symbolSize: function (val) {
  437. return val[2] / 8;
  438. },
  439. itemStyle: {
  440. normal: {
  441. color: color[i]
  442. }
  443. },
  444. data: item[1].map(function (dataItem) {
  445. return {
  446. name: dataItem[1].name,
  447. value: geoCoordMap[dataItem[1].name].concat([
  448. dataItem[1].value
  449. ])
  450. };
  451. })
  452. });
  453. });
  454. option = {
  455. animation: false,
  456. GLMap: {
  457. roam: true
  458. },
  459. coordinateSystem: 'GLMap',
  460. title: {
  461. left: 'center',
  462. textStyle: {
  463. color: '#fff'
  464. }
  465. },
  466. tooltip: {
  467. trigger: 'item'
  468. },
  469. legend: {
  470. orient: 'vertical',
  471. top: 'bottom',
  472. left: 'right',
  473. data: ['北京 Top10', '上海 Top10', '广州 Top10'],
  474. textStyle: {
  475. color: '#fff'
  476. },
  477. selectedMode: 'single'
  478. },
  479. geo: {
  480. map: 'GLMap',
  481. label: {
  482. emphasis: {
  483. show: false
  484. }
  485. },
  486. roam: true,
  487. itemStyle: {
  488. normal: {
  489. areaColor: '#323c48',
  490. borderColor: '#404a59'
  491. },
  492. emphasis: {
  493. areaColor: '#2a333d'
  494. }
  495. }
  496. },
  497. series: series
  498. };
  499. var echartslayer = new EchartsLayer(map);
  500. echartslayer.chart.setOption(option);
  501. </script>
  502. </body>
  503. </html>