Вы не можете выбрать более 25 тем Темы должны начинаться с буквы или цифры, могут содержать дефисы(-) и должны содержать не более 35 символов.

logistics.html 11KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422
  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. let viewer = undefined
  16. function initViewer() {
  17. 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. }
  34. function getOption(e) {
  35. let chinaGeoCoordMap = {
  36. 黑龙江: [127.9688, 45.368],
  37. 内蒙古: [110.3467, 41.4899],
  38. 吉林: [125.8154, 44.2584],
  39. 北京市: [116.4551, 40.2539],
  40. 辽宁: [123.1238, 42.1216],
  41. 河北: [114.4995, 38.1006],
  42. 天津: [117.4219, 39.4189],
  43. 山西: [112.3352, 37.9413],
  44. 陕西: [109.1162, 34.2004],
  45. 甘肃: [103.5901, 36.3043],
  46. 宁夏: [106.3586, 38.1775],
  47. 青海: [101.4038, 36.8207],
  48. 新疆: [87.9236, 43.5883],
  49. 西藏: [91.11, 29.97],
  50. 四川: [103.9526, 30.7617],
  51. 重庆: [108.384366, 30.439702],
  52. 山东: [117.1582, 36.8701],
  53. 河南: [113.4668, 34.6234],
  54. 江苏: [118.8062, 31.9208],
  55. 安徽: [117.29, 32.0581],
  56. 湖北: [114.3896, 30.6628],
  57. 浙江: [119.5313, 29.8773],
  58. 福建: [119.4543, 25.9222],
  59. 江西: [116.0046, 28.6633],
  60. 湖南: [113.0823, 28.2568],
  61. 贵州: [106.6992, 26.7682],
  62. 云南: [102.9199, 25.4663],
  63. 广东: [113.12244, 23.009505],
  64. 广西: [108.479, 23.1152],
  65. 海南: [110.3893, 19.8516],
  66. 上海: [121.4648, 31.2891],
  67. }
  68. let chinaDatas = [
  69. [
  70. {
  71. name: '黑龙江',
  72. value: 0,
  73. price: 100,
  74. num: 2,
  75. },
  76. ],
  77. [
  78. {
  79. name: '内蒙古',
  80. value: 0,
  81. price: 100,
  82. num: 2,
  83. },
  84. ],
  85. [
  86. {
  87. name: '吉林',
  88. value: 0,
  89. price: 100,
  90. num: 2,
  91. },
  92. ],
  93. [
  94. {
  95. name: '辽宁',
  96. value: 0,
  97. price: 100,
  98. num: 2,
  99. },
  100. ],
  101. [
  102. {
  103. name: '河北',
  104. value: 0,
  105. price: 100,
  106. num: 2,
  107. },
  108. ],
  109. [
  110. {
  111. name: '天津',
  112. value: 0,
  113. price: 100,
  114. num: 2,
  115. },
  116. ],
  117. [
  118. {
  119. name: '山西',
  120. value: 0,
  121. price: 100,
  122. num: 2,
  123. },
  124. ],
  125. [
  126. {
  127. name: '陕西',
  128. value: 0,
  129. price: 100,
  130. num: 2,
  131. },
  132. ],
  133. [
  134. {
  135. name: '甘肃',
  136. value: 0,
  137. price: 100,
  138. num: 2,
  139. },
  140. ],
  141. [
  142. {
  143. name: '宁夏',
  144. value: 0,
  145. price: 100,
  146. num: 2,
  147. },
  148. ],
  149. [
  150. {
  151. name: '青海',
  152. value: 0,
  153. price: 100,
  154. num: 2,
  155. },
  156. ],
  157. [
  158. {
  159. name: '新疆',
  160. value: 0,
  161. price: 100,
  162. num: 2,
  163. },
  164. ],
  165. [
  166. {
  167. name: '西藏',
  168. value: 0,
  169. price: 100,
  170. num: 2,
  171. },
  172. ],
  173. [
  174. {
  175. name: '四川',
  176. value: 0,
  177. price: 100,
  178. num: 2,
  179. },
  180. ],
  181. [
  182. {
  183. name: '重庆',
  184. value: 0,
  185. price: 100,
  186. num: 2,
  187. },
  188. ],
  189. [
  190. {
  191. name: '山东',
  192. value: 0,
  193. price: 100,
  194. num: 2,
  195. },
  196. ],
  197. [
  198. {
  199. name: '河南',
  200. value: 0,
  201. price: 100,
  202. num: 2,
  203. },
  204. ],
  205. [
  206. {
  207. name: '江苏',
  208. value: 0,
  209. price: 100,
  210. num: 2,
  211. },
  212. ],
  213. [
  214. {
  215. name: '安徽',
  216. value: 0,
  217. price: 100,
  218. num: 2,
  219. },
  220. ],
  221. [
  222. {
  223. name: '湖北',
  224. value: 0,
  225. price: 100,
  226. num: 2,
  227. },
  228. ],
  229. [
  230. {
  231. name: '浙江',
  232. value: 0,
  233. price: 100,
  234. num: 2,
  235. },
  236. ],
  237. [
  238. {
  239. name: '福建',
  240. value: 0,
  241. price: 100,
  242. num: 2,
  243. },
  244. ],
  245. [
  246. {
  247. name: '江西',
  248. value: 0,
  249. price: 100,
  250. num: 2,
  251. },
  252. ],
  253. [
  254. {
  255. name: '湖南',
  256. value: 0,
  257. price: 100,
  258. num: 2,
  259. },
  260. ],
  261. [
  262. {
  263. name: '贵州',
  264. value: 0,
  265. price: 100,
  266. num: 2,
  267. },
  268. ],
  269. [
  270. {
  271. name: '广西',
  272. value: 0,
  273. price: 100,
  274. num: 2,
  275. },
  276. ],
  277. [
  278. {
  279. name: '海南',
  280. value: 0,
  281. price: 100,
  282. num: 2,
  283. },
  284. ],
  285. ]
  286. let convertData = function (data) {
  287. let res = []
  288. for (let i = 0; i < data.length; i++) {
  289. let dataItem = data[i]
  290. // console.log('dataItem',dataItem) //第二个数据
  291. let fromCoord = [116.4551, 40.2539]
  292. let toCoord = chinaGeoCoordMap[dataItem[0].name]
  293. // console.log('toCoord',toCoord);//第一个地址
  294. if (fromCoord && toCoord) {
  295. res.push([
  296. {
  297. coord: fromCoord,
  298. value: dataItem[0].value,
  299. },
  300. {
  301. coord: toCoord,
  302. dataItem: dataItem,
  303. },
  304. ])
  305. }
  306. }
  307. return res
  308. }
  309. let redName = '新疆'
  310. let planePath =
  311. 'path://M.6,1318.313v-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'
  312. let series = []
  313. ;[['北京市', chinaDatas]].forEach(function (item, i) {
  314. series.push(
  315. {
  316. type: 'lines',
  317. coordinateSystem: 'GLMap',
  318. zlevel: 2,
  319. effect: {
  320. show: true,
  321. period: 4, //箭头指向速度,值越小速度越快
  322. trailLength: 0.1, //特效尾迹长度[0,1]值越大,尾迹越长重
  323. symbol: 'circle', //箭头图标
  324. symbolSize: 3, //图标大小
  325. color: '#fff',
  326. },
  327. lineStyle: {
  328. normal: {
  329. width: 0.7, //尾迹线条宽度
  330. opacity: 0.5, //尾迹线条透明度
  331. curveness: 0.2, //尾迹线条曲直度
  332. color: function (params) {
  333. return '#ffa022'
  334. },
  335. },
  336. color: 'red',
  337. },
  338. data: convertData(item[1]),
  339. },
  340. {
  341. type: 'effectScatter',
  342. coordinateSystem: 'GLMap',
  343. zlevel: 2,
  344. rippleEffect: {
  345. //涟漪特效
  346. period: 4, //动画时间,值越小速度越快
  347. brushType: 'fill', //波纹绘制方式 stroke, fill
  348. scale: 2.2, //波纹圆环最大限制,值越大波纹越大
  349. },
  350. // 括 'circle', 'rect', 'roundRect', 'triangle', 'diamond', 'pin', 'arrow', 'none'
  351. // symbol: 'none',
  352. symbol: 'circle',
  353. symbolSize: function (val) {
  354. return 5 //圆环大小
  355. },
  356. itemStyle: {
  357. normal: {
  358. show: false,
  359. // color: '#f00'
  360. color: function (params) {
  361. //圆环显示文字
  362. // console.log('redName',redName)
  363. return '#ffa022'
  364. },
  365. borderWidth: 0,
  366. shadowColor: '#b5e8fa', //发光🉐效果
  367. shadowBlur: 4,
  368. },
  369. },
  370. data: item[1].map(function (dataItem) {
  371. // console.log('dataItem',dataItem[0]);
  372. return {
  373. dataItem: dataItem,
  374. name: dataItem[0].name,
  375. value: chinaGeoCoordMap[dataItem[0].name].concat([
  376. dataItem[0].value,
  377. ]),
  378. }
  379. }),
  380. },
  381. //被攻击点
  382. {
  383. type: 'scatter',
  384. coordinateSystem: 'GLMap',
  385. zlevel: 1,
  386. rippleEffect: {
  387. period: 4,
  388. brushType: 'stroke',
  389. scale: 4,
  390. },
  391. symbol: 'circle',
  392. color: 'rgba(128, 220, 251, .6)',
  393. symbolSize: 20,
  394. data: [
  395. {
  396. name: item[0],
  397. value: chinaGeoCoordMap[item[0]].concat([10]),
  398. },
  399. ],
  400. }
  401. )
  402. })
  403. return {
  404. series,
  405. }
  406. }
  407. DC.ready({
  408. baseUrl: '../libs/dc-sdk/resources/',
  409. echarts: window.echarts,
  410. }).then(initViewer)
  411. </script>
  412. </body>
  413. </html>