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logistics.html 9.2KB

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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. let viewer = undefined
  16. function initViewer() {
  17. viewer = new DC.Viewer('viewer-container')
  18. let baseLayer = DC.ImageryLayerFactory.createImageryLayer(DC.ImageryType.AMAP,{
  19. crs:'WGS84'
  20. })
  21. viewer.addBaseLayer( baseLayer,{
  22. brightness : 0.1
  23. })
  24. let layer = new DC.ChartLayer('layer',viewer)
  25. layer.setOption(getOption())
  26. viewer.addLayer(layer)
  27. viewer.flyToPosition("115.79782534952115,31.47385026585756,4856091.799441838,0,-90")
  28. }
  29. function getOption(e) {
  30. let chinaGeoCoordMap = {
  31. 黑龙江: [127.9688, 45.368],
  32. 内蒙古: [110.3467, 41.4899],
  33. 吉林: [125.8154, 44.2584],
  34. 北京市: [116.4551, 40.2539],
  35. 辽宁: [123.1238, 42.1216],
  36. 河北: [114.4995, 38.1006],
  37. 天津: [117.4219, 39.4189],
  38. 山西: [112.3352, 37.9413],
  39. 陕西: [109.1162, 34.2004],
  40. 甘肃: [103.5901, 36.3043],
  41. 宁夏: [106.3586, 38.1775],
  42. 青海: [101.4038, 36.8207],
  43. 新疆: [87.9236, 43.5883],
  44. 西藏: [91.11, 29.97],
  45. 四川: [103.9526, 30.7617],
  46. 重庆: [108.384366, 30.439702],
  47. 山东: [117.1582, 36.8701],
  48. 河南: [113.4668, 34.6234],
  49. 江苏: [118.8062, 31.9208],
  50. 安徽: [117.29, 32.0581],
  51. 湖北: [114.3896, 30.6628],
  52. 浙江: [119.5313, 29.8773],
  53. 福建: [119.4543, 25.9222],
  54. 江西: [116.0046, 28.6633],
  55. 湖南: [113.0823, 28.2568],
  56. 贵州: [106.6992, 26.7682],
  57. 云南: [102.9199, 25.4663],
  58. 广东: [113.12244, 23.009505],
  59. 广西: [108.479, 23.1152],
  60. 海南: [110.3893, 19.8516],
  61. 上海: [121.4648, 31.2891]
  62. }
  63. let chinaDatas = [
  64. [
  65. {
  66. name: '黑龙江',
  67. value: 0,
  68. price: 100,
  69. num: 2
  70. }
  71. ],
  72. [
  73. {
  74. name: '内蒙古',
  75. value: 0,
  76. price: 100,
  77. num: 2
  78. }
  79. ],
  80. [
  81. {
  82. name: '吉林',
  83. value: 0,
  84. price: 100,
  85. num: 2
  86. }
  87. ],
  88. [
  89. {
  90. name: '辽宁',
  91. value: 0,
  92. price: 100,
  93. num: 2
  94. }
  95. ],
  96. [
  97. {
  98. name: '河北',
  99. value: 0,
  100. price: 100,
  101. num: 2
  102. }
  103. ],
  104. [
  105. {
  106. name: '天津',
  107. value: 0,
  108. price: 100,
  109. num: 2
  110. }
  111. ],
  112. [
  113. {
  114. name: '山西',
  115. value: 0,
  116. price: 100,
  117. num: 2
  118. }
  119. ],
  120. [
  121. {
  122. name: '陕西',
  123. value: 0,
  124. price: 100,
  125. num: 2
  126. }
  127. ],
  128. [
  129. {
  130. name: '甘肃',
  131. value: 0,
  132. price: 100,
  133. num: 2
  134. }
  135. ],
  136. [
  137. {
  138. name: '宁夏',
  139. value: 0,
  140. price: 100,
  141. num: 2
  142. }
  143. ],
  144. [
  145. {
  146. name: '青海',
  147. value: 0,
  148. price: 100,
  149. num: 2
  150. }
  151. ],
  152. [
  153. {
  154. name: '新疆',
  155. value: 0,
  156. price: 100,
  157. num: 2
  158. }
  159. ],
  160. [
  161. {
  162. name: '西藏',
  163. value: 0,
  164. price: 100,
  165. num: 2
  166. }
  167. ],
  168. [
  169. {
  170. name: '四川',
  171. value: 0,
  172. price: 100,
  173. num: 2
  174. }
  175. ],
  176. [
  177. {
  178. name: '重庆',
  179. value: 0,
  180. price: 100,
  181. num: 2
  182. }
  183. ],
  184. [
  185. {
  186. name: '山东',
  187. value: 0,
  188. price: 100,
  189. num: 2
  190. }
  191. ],
  192. [
  193. {
  194. name: '河南',
  195. value: 0,
  196. price: 100,
  197. num: 2
  198. }
  199. ],
  200. [
  201. {
  202. name: '江苏',
  203. value: 0,
  204. price: 100,
  205. num: 2
  206. }
  207. ],
  208. [
  209. {
  210. name: '安徽',
  211. value: 0,
  212. price: 100,
  213. num: 2
  214. }
  215. ],
  216. [
  217. {
  218. name: '湖北',
  219. value: 0,
  220. price: 100,
  221. num: 2
  222. }
  223. ],
  224. [
  225. {
  226. name: '浙江',
  227. value: 0,
  228. price: 100,
  229. num: 2
  230. }
  231. ],
  232. [
  233. {
  234. name: '福建',
  235. value: 0,
  236. price: 100,
  237. num: 2
  238. }
  239. ],
  240. [
  241. {
  242. name: '江西',
  243. value: 0,
  244. price: 100,
  245. num: 2
  246. }
  247. ],
  248. [
  249. {
  250. name: '湖南',
  251. value: 0,
  252. price: 100,
  253. num: 2
  254. }
  255. ],
  256. [
  257. {
  258. name: '贵州',
  259. value: 0,
  260. price: 100,
  261. num: 2
  262. }
  263. ],
  264. [
  265. {
  266. name: '广西',
  267. value: 0,
  268. price: 100,
  269. num: 2
  270. }
  271. ],
  272. [
  273. {
  274. name: '海南',
  275. value: 0,
  276. price: 100,
  277. num: 2
  278. }
  279. ]
  280. ]
  281. let convertData = function(data) {
  282. let res = []
  283. for (let i = 0; i < data.length; i++) {
  284. let dataItem = data[i]
  285. // console.log('dataItem',dataItem) //第二个数据
  286. let fromCoord = [116.4551, 40.2539]
  287. let toCoord = chinaGeoCoordMap[dataItem[0].name]
  288. // console.log('toCoord',toCoord);//第一个地址
  289. if (fromCoord && toCoord) {
  290. res.push([
  291. {
  292. coord: fromCoord,
  293. value: dataItem[0].value
  294. },
  295. {
  296. coord: toCoord,
  297. dataItem: dataItem
  298. }
  299. ])
  300. }
  301. }
  302. return res
  303. }
  304. let redName = '新疆'
  305. let planePath =
  306. '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'
  307. let series = []
  308. ;[['北京市', chinaDatas]].forEach(function(item, i) {
  309. series.push(
  310. {
  311. type: 'lines',
  312. coordinateSystem: 'GLMap',
  313. zlevel: 2,
  314. effect: {
  315. show: true,
  316. period: 4, //箭头指向速度,值越小速度越快
  317. trailLength: 0.1, //特效尾迹长度[0,1]值越大,尾迹越长重
  318. symbol: 'circle', //箭头图标
  319. symbolSize: 3, //图标大小
  320. color: '#fff'
  321. },
  322. lineStyle: {
  323. normal: {
  324. width: 0.7, //尾迹线条宽度
  325. opacity: 0.5, //尾迹线条透明度
  326. curveness: 0.2, //尾迹线条曲直度
  327. color: function(params) {
  328. return '#ffa022'
  329. }
  330. },
  331. color: 'red'
  332. },
  333. data: convertData(item[1])
  334. },
  335. {
  336. type: 'effectScatter',
  337. coordinateSystem: 'GLMap',
  338. zlevel: 2,
  339. rippleEffect: {
  340. //涟漪特效
  341. period: 4, //动画时间,值越小速度越快
  342. brushType: 'fill', //波纹绘制方式 stroke, fill
  343. scale: 2.2 //波纹圆环最大限制,值越大波纹越大
  344. },
  345. // 括 'circle', 'rect', 'roundRect', 'triangle', 'diamond', 'pin', 'arrow', 'none'
  346. // symbol: 'none',
  347. symbol: 'circle',
  348. symbolSize: function(val) {
  349. return 5 //圆环大小
  350. },
  351. itemStyle: {
  352. normal: {
  353. show: false,
  354. // color: '#f00'
  355. color: function(params) {
  356. //圆环显示文字
  357. // console.log('redName',redName)
  358. return '#ffa022'
  359. },
  360. borderWidth: 0,
  361. shadowColor: '#b5e8fa', //发光🉐效果
  362. shadowBlur: 4
  363. }
  364. },
  365. data: item[1].map(function(dataItem) {
  366. // console.log('dataItem',dataItem[0]);
  367. return {
  368. dataItem: dataItem,
  369. name: dataItem[0].name,
  370. value: chinaGeoCoordMap[dataItem[0].name].concat([
  371. dataItem[0].value
  372. ])
  373. }
  374. })
  375. },
  376. //被攻击点
  377. {
  378. type: 'scatter',
  379. coordinateSystem: 'GLMap',
  380. zlevel: 1,
  381. rippleEffect: {
  382. period: 4,
  383. brushType: 'stroke',
  384. scale: 4
  385. },
  386. symbol: 'circle',
  387. color: 'rgba(128, 220, 251, .6)',
  388. symbolSize: 20,
  389. data: [
  390. {
  391. name: item[0],
  392. value: chinaGeoCoordMap[item[0]].concat([10])
  393. }
  394. ]
  395. }
  396. )
  397. })
  398. return {
  399. series
  400. }
  401. }
  402. DC.ready({
  403. baseUrl:'../libs/dc-sdk/resources/',
  404. echarts: window.echarts
  405. }).then(initViewer)
  406. </script>
  407. </body>
  408. </html>