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airline.html 11KB

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  1. <!DOCTYPE html>
  2. <html lang="en">
  3. <head>
  4. <meta charset="utf-8" />
  5. <meta name="viewport" content="width=device-width,initial-scale=1.0" />
  6. <title>dc-example</title>
  7. <script src="/libs/dc-sdk/dc.min.js"></script>
  8. <script src="../echarts.min.js"></script>
  9. <link href="/libs/dc-sdk/dc.min.css" type="text/css" rel="stylesheet" />
  10. <link href="../index.css" type="text/css" rel="stylesheet" />
  11. </head>
  12. <body>
  13. <div id="viewer-container" class="viewer-container"></div>
  14. <script>
  15. DC.config.baseUrl = '../libs/dc-sdk/resources/'
  16. DC.registerLib('echarts', echarts)
  17. let viewer = new DC.Viewer('viewer-container')
  18. let baseLayer = DC.ImageryLayerFactory.createImageryLayer(
  19. DC.ImageryType.AMAP,
  20. {
  21. crs: 'WGS84',
  22. }
  23. )
  24. viewer.addBaseLayer(baseLayer, {
  25. brightness: 0.1,
  26. })
  27. let layer = new DC.ChartLayer('layer', viewer)
  28. layer.setOption(getOption())
  29. viewer.addLayer(layer)
  30. viewer.flyToPosition(
  31. '115.79782534952115,31.47385026585756,4856091.799441838,0,-90'
  32. )
  33. function getOption(e) {
  34. let geoCoordMap = {
  35. 上海: [121.4648, 31.2891],
  36. 东莞: [113.8953, 22.901],
  37. 东营: [118.7073, 37.5513],
  38. 中山: [113.4229, 22.478],
  39. 临汾: [111.4783, 36.1615],
  40. 临沂: [118.3118, 35.2936],
  41. 丹东: [124.541, 40.4242],
  42. 丽水: [119.5642, 28.1854],
  43. 乌鲁木齐: [87.9236, 43.5883],
  44. 佛山: [112.8955, 23.1097],
  45. 保定: [115.0488, 39.0948],
  46. 兰州: [103.5901, 36.3043],
  47. 包头: [110.3467, 41.4899],
  48. 北京: [116.4551, 40.2539],
  49. 北海: [109.314, 21.6211],
  50. 南京: [118.8062, 31.9208],
  51. 南宁: [108.479, 23.1152],
  52. 南昌: [116.0046, 28.6633],
  53. 赣州: [116.0046, 25.6633],
  54. 南通: [121.1023, 32.1625],
  55. 厦门: [118.1689, 24.6478],
  56. 台州: [121.1353, 28.6688],
  57. 合肥: [117.29, 32.0581],
  58. 呼和浩特: [111.4124, 40.4901],
  59. 咸阳: [108.4131, 34.8706],
  60. 哈尔滨: [127.9688, 45.368],
  61. 唐山: [118.4766, 39.6826],
  62. 嘉兴: [120.9155, 30.6354],
  63. 大同: [113.7854, 39.8035],
  64. 大连: [122.2229, 39.4409],
  65. 天津: [117.4219, 39.4189],
  66. 太原: [112.3352, 37.9413],
  67. 威海: [121.9482, 37.1393],
  68. 宁波: [121.5967, 29.6466],
  69. 宝鸡: [107.1826, 34.3433],
  70. 宿迁: [118.5535, 33.7775],
  71. 宿州: [117.5535, 33.7775],
  72. 常州: [119.4543, 31.5582],
  73. 广州: [113.5107, 23.2196],
  74. 廊坊: [116.521, 39.0509],
  75. 延安: [109.1052, 36.4252],
  76. 张家口: [115.1477, 40.8527],
  77. 徐州: [117.5208, 34.3268],
  78. 德州: [116.6858, 37.2107],
  79. 惠州: [114.6204, 23.1647],
  80. 成都: [103.9526, 30.7617],
  81. 扬州: [119.4653, 32.8162],
  82. 承德: [117.5757, 41.4075],
  83. 拉萨: [91.1865, 30.1465],
  84. 无锡: [120.3442, 31.5527],
  85. 日照: [119.2786, 35.5023],
  86. 昆明: [102.9199, 25.4663],
  87. 杭州: [119.5313, 29.8773],
  88. 枣庄: [117.323, 34.8926],
  89. 曲阜: [117.323, 35.8926],
  90. 柳州: [109.3799, 24.9774],
  91. 株洲: [113.5327, 27.0319],
  92. 武汉: [114.3896, 30.6628],
  93. 汕头: [117.1692, 23.3405],
  94. 江门: [112.6318, 22.1484],
  95. 沈阳: [123.1238, 42.1216],
  96. 沧州: [116.8286, 38.2104],
  97. 河源: [114.917, 23.9722],
  98. 泉州: [118.3228, 25.1147],
  99. 泰安: [117.0264, 36.0516],
  100. 泰州: [120.0586, 32.5525],
  101. 济南: [117.1582, 36.8701],
  102. 济宁: [116.8286, 35.3375],
  103. 海口: [110.3893, 19.8516],
  104. 淄博: [118.0371, 36.6064],
  105. 淮安: [118.927, 33.4039],
  106. 深圳: [114.5435, 22.5439],
  107. 清远: [112.9175, 24.3292],
  108. 温州: [120.498, 27.8119],
  109. 渭南: [109.7864, 35.0299],
  110. 湖州: [119.8608, 30.7782],
  111. 湘潭: [112.5439, 27.7075],
  112. 滨州: [117.8174, 37.4963],
  113. 潍坊: [119.0918, 36.524],
  114. 烟台: [120.7397, 37.5128],
  115. 玉溪: [101.9312, 23.8898],
  116. 珠海: [113.7305, 22.1155],
  117. 盐城: [120.2234, 33.5577],
  118. 盘锦: [121.9482, 41.0449],
  119. 石家庄: [114.4995, 38.1006],
  120. 福州: [119.4543, 25.9222],
  121. 秦皇岛: [119.2126, 40.0232],
  122. 绍兴: [120.564, 29.7565],
  123. 聊城: [115.9167, 36.4032],
  124. 肇庆: [112.1265, 23.5822],
  125. 舟山: [122.2559, 30.2234],
  126. 苏州: [120.6519, 31.3989],
  127. 莱芜: [117.6526, 36.2714],
  128. 菏泽: [115.6201, 35.2057],
  129. 营口: [122.4316, 40.4297],
  130. 葫芦岛: [120.1575, 40.578],
  131. 衡水: [115.8838, 37.7161],
  132. 衢州: [118.6853, 28.8666],
  133. 西宁: [101.4038, 36.8207],
  134. 西安: [109.1162, 34.2004],
  135. 贵阳: [106.6992, 26.7682],
  136. 连云港: [119.1248, 34.552],
  137. 邢台: [114.8071, 37.2821],
  138. 邯郸: [114.4775, 36.535],
  139. 郑州: [113.4668, 34.6234],
  140. 鄂尔多斯: [108.9734, 39.2487],
  141. 重庆: [107.7539, 30.1904],
  142. 金华: [120.0037, 29.1028],
  143. 铜川: [109.0393, 35.1947],
  144. 银川: [106.3586, 38.1775],
  145. 镇江: [119.4763, 31.9702],
  146. 长春: [125.8154, 44.2584],
  147. 长沙: [113.0823, 28.2568],
  148. 长治: [112.8625, 36.4746],
  149. 阳泉: [113.4778, 38.0951],
  150. 青岛: [120.4651, 36.3373],
  151. 韶关: [113.7964, 24.7028],
  152. }
  153. let chatData = [
  154. [
  155. '北京',
  156. [
  157. [
  158. {
  159. name: '北京',
  160. value: 100,
  161. },
  162. {
  163. name: '无锡',
  164. },
  165. ],
  166. [
  167. {
  168. name: '上海',
  169. value: 30,
  170. },
  171. {
  172. name: '无锡',
  173. },
  174. ],
  175. [
  176. {
  177. name: '广州',
  178. value: 20,
  179. },
  180. {
  181. name: '无锡',
  182. },
  183. ],
  184. [
  185. {
  186. name: '大连',
  187. value: 10,
  188. },
  189. {
  190. name: '无锡',
  191. },
  192. ],
  193. [
  194. {
  195. name: '青岛',
  196. value: 20,
  197. },
  198. {
  199. name: '无锡',
  200. },
  201. ],
  202. [
  203. {
  204. name: '石家庄',
  205. value: 20,
  206. },
  207. {
  208. name: '无锡',
  209. },
  210. ],
  211. [
  212. {
  213. name: '南昌',
  214. value: 10,
  215. },
  216. {
  217. name: '无锡',
  218. },
  219. ],
  220. [
  221. {
  222. name: '合肥',
  223. value: 30,
  224. },
  225. {
  226. name: '无锡',
  227. },
  228. ],
  229. [
  230. {
  231. name: '呼和浩特',
  232. value: 10,
  233. },
  234. {
  235. name: '无锡',
  236. },
  237. ],
  238. [
  239. {
  240. name: '宿州',
  241. value: 10,
  242. },
  243. {
  244. name: '无锡',
  245. },
  246. ],
  247. [
  248. {
  249. name: '曲阜',
  250. value: 10,
  251. },
  252. {
  253. name: '无锡',
  254. },
  255. ],
  256. [
  257. {
  258. name: '杭州',
  259. value: 10,
  260. },
  261. {
  262. name: '无锡',
  263. },
  264. ],
  265. [
  266. {
  267. name: '武汉',
  268. value: 10,
  269. },
  270. {
  271. name: '无锡',
  272. },
  273. ],
  274. [
  275. {
  276. name: '深圳',
  277. value: 10,
  278. },
  279. {
  280. name: '无锡',
  281. },
  282. ],
  283. [
  284. {
  285. name: '珠海',
  286. value: 10,
  287. },
  288. {
  289. name: '无锡',
  290. },
  291. ],
  292. [
  293. {
  294. name: '福州',
  295. value: 20,
  296. },
  297. {
  298. name: '无锡',
  299. },
  300. ],
  301. [
  302. {
  303. name: '西安',
  304. value: 60,
  305. },
  306. {
  307. name: '无锡',
  308. },
  309. ],
  310. [
  311. {
  312. name: '赣州',
  313. value: 10,
  314. },
  315. {
  316. name: '无锡',
  317. },
  318. ],
  319. ],
  320. ],
  321. ]
  322. let convertData = function (data) {
  323. let res = []
  324. for (let i = 0; i < data.length; i++) {
  325. let dataItem = data[i]
  326. let fromCoord = geoCoordMap[dataItem[0].name]
  327. let toCoord = geoCoordMap[dataItem[1].name]
  328. if (fromCoord && toCoord) {
  329. res.push({
  330. fromName: dataItem[0].name,
  331. toName: dataItem[1].name,
  332. coords: [fromCoord, toCoord],
  333. value: dataItem[1].value,
  334. })
  335. }
  336. }
  337. return res
  338. }
  339. let n = []
  340. chatData.forEach(function (e, a) {
  341. n.push(
  342. {
  343. name: e[2],
  344. type: 'lines',
  345. coordinateSystem: 'GLMap',
  346. zlevel: 2,
  347. effect: {
  348. show: !0,
  349. period: 6,
  350. trailLength: 0.1,
  351. symbol: 'arrow',
  352. symbolSize: 5,
  353. },
  354. lineStyle: {
  355. normal: {
  356. color: '#60ff44',
  357. width: 1,
  358. opacity: 0.4,
  359. curveness: 0.2,
  360. },
  361. },
  362. data: convertData(e[1]),
  363. },
  364. {
  365. type: 'effectScatter',
  366. coordinateSystem: 'GLMap',
  367. zlevel: 2,
  368. rippleEffect: {
  369. brushType: 'stroke',
  370. },
  371. label: {
  372. normal: {
  373. show: !0,
  374. position: 'right',
  375. formatter: '{b}',
  376. },
  377. },
  378. symbolSize: function (e) {
  379. return 3 + e[2] / 10
  380. },
  381. itemStyle: {
  382. normal: {
  383. color: '#60ff44',
  384. },
  385. },
  386. data: e[1].map(function (e) {
  387. return {
  388. name: e[0].name,
  389. value: geoCoordMap[e[0].name].concat([e[0].value]),
  390. }
  391. }),
  392. }
  393. )
  394. })
  395. return {
  396. series: n,
  397. }
  398. }
  399. </script>
  400. </body>
  401. </html>