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migrate.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() {
  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. 南通: [121.1023, 32.1625],
  54. 厦门: [118.1689, 24.6478],
  55. 台州: [121.1353, 28.6688],
  56. 合肥: [117.29, 32.0581],
  57. 呼和浩特: [111.4124, 40.4901],
  58. 咸阳: [108.4131, 34.8706],
  59. 哈尔滨: [127.9688, 45.368],
  60. 唐山: [118.4766, 39.6826],
  61. 嘉兴: [120.9155, 30.6354],
  62. 大同: [113.7854, 39.8035],
  63. 大连: [122.2229, 39.4409],
  64. 天津: [117.4219, 39.4189],
  65. 太原: [112.3352, 37.9413],
  66. 威海: [121.9482, 37.1393],
  67. 宁波: [121.5967, 29.6466],
  68. 宝鸡: [107.1826, 34.3433],
  69. 宿迁: [118.5535, 33.7775],
  70. 常州: [119.4543, 31.5582],
  71. 广州: [113.5107, 23.2196],
  72. 廊坊: [116.521, 39.0509],
  73. 延安: [109.1052, 36.4252],
  74. 张家口: [115.1477, 40.8527],
  75. 徐州: [117.5208, 34.3268],
  76. 德州: [116.6858, 37.2107],
  77. 惠州: [114.6204, 23.1647],
  78. 成都: [103.9526, 30.7617],
  79. 扬州: [119.4653, 32.8162],
  80. 承德: [117.5757, 41.4075],
  81. 拉萨: [91.1865, 30.1465],
  82. 无锡: [120.3442, 31.5527],
  83. 日照: [119.2786, 35.5023],
  84. 昆明: [102.9199, 25.4663],
  85. 杭州: [119.5313, 29.8773],
  86. 枣庄: [117.323, 34.8926],
  87. 柳州: [109.3799, 24.9774],
  88. 株洲: [113.5327, 27.0319],
  89. 武汉: [114.3896, 30.6628],
  90. 汕头: [117.1692, 23.3405],
  91. 江门: [112.6318, 22.1484],
  92. 沈阳: [123.1238, 42.1216],
  93. 沧州: [116.8286, 38.2104],
  94. 河源: [114.917, 23.9722],
  95. 泉州: [118.3228, 25.1147],
  96. 泰安: [117.0264, 36.0516],
  97. 泰州: [120.0586, 32.5525],
  98. 济南: [117.1582, 36.8701],
  99. 济宁: [116.8286, 35.3375],
  100. 海口: [110.3893, 19.8516],
  101. 淄博: [118.0371, 36.6064],
  102. 淮安: [118.927, 33.4039],
  103. 深圳: [114.5435, 22.5439],
  104. 清远: [112.9175, 24.3292],
  105. 温州: [120.498, 27.8119],
  106. 渭南: [109.7864, 35.0299],
  107. 湖州: [119.8608, 30.7782],
  108. 湘潭: [112.5439, 27.7075],
  109. 滨州: [117.8174, 37.4963],
  110. 潍坊: [119.0918, 36.524],
  111. 烟台: [120.7397, 37.5128],
  112. 玉溪: [101.9312, 23.8898],
  113. 珠海: [113.7305, 22.1155],
  114. 盐城: [120.2234, 33.5577],
  115. 盘锦: [121.9482, 41.0449],
  116. 石家庄: [114.4995, 38.1006],
  117. 福州: [119.4543, 25.9222],
  118. 秦皇岛: [119.2126, 40.0232],
  119. 绍兴: [120.564, 29.7565],
  120. 聊城: [115.9167, 36.4032],
  121. 肇庆: [112.1265, 23.5822],
  122. 舟山: [122.2559, 30.2234],
  123. 苏州: [120.6519, 31.3989],
  124. 莱芜: [117.6526, 36.2714],
  125. 菏泽: [115.6201, 35.2057],
  126. 营口: [122.4316, 40.4297],
  127. 葫芦岛: [120.1575, 40.578],
  128. 衡水: [115.8838, 37.7161],
  129. 衢州: [118.6853, 28.8666],
  130. 西宁: [101.4038, 36.8207],
  131. 西安: [109.1162, 34.2004],
  132. 贵阳: [106.6992, 26.7682],
  133. 连云港: [119.1248, 34.552],
  134. 邢台: [114.8071, 37.2821],
  135. 邯郸: [114.4775, 36.535],
  136. 郑州: [113.4668, 34.6234],
  137. 鄂尔多斯: [108.9734, 39.2487],
  138. 重庆: [107.7539, 30.1904],
  139. 金华: [120.0037, 29.1028],
  140. 铜川: [109.0393, 35.1947],
  141. 银川: [106.3586, 38.1775],
  142. 镇江: [119.4763, 31.9702],
  143. 长春: [125.8154, 44.2584],
  144. 长沙: [113.0823, 28.2568],
  145. 长治: [112.8625, 36.4746],
  146. 阳泉: [113.4778, 38.0951],
  147. 青岛: [120.4651, 36.3373],
  148. 韶关: [113.7964, 24.7028],
  149. }
  150. let BJData = [
  151. [{ name: '北京' }, { name: '上海', value: 95 }],
  152. [{ name: '北京' }, { name: '广州', value: 90 }],
  153. [{ name: '北京' }, { name: '大连', value: 80 }],
  154. [{ name: '北京' }, { name: '南宁', value: 70 }],
  155. [{ name: '北京' }, { name: '南昌', value: 60 }],
  156. [{ name: '北京' }, { name: '拉萨', value: 50 }],
  157. [{ name: '北京' }, { name: '长春', value: 40 }],
  158. [{ name: '北京' }, { name: '包头', value: 30 }],
  159. [{ name: '北京' }, { name: '重庆', value: 20 }],
  160. [{ name: '北京' }, { name: '常州', value: 10 }],
  161. ]
  162. let SHData = [
  163. [{ name: '上海' }, { name: '包头', value: 95 }],
  164. [{ name: '上海' }, { name: '昆明', value: 90 }],
  165. [{ name: '上海' }, { name: '广州', value: 80 }],
  166. [{ name: '上海' }, { name: '郑州', value: 70 }],
  167. [{ name: '上海' }, { name: '长春', value: 60 }],
  168. [{ name: '上海' }, { name: '重庆', value: 50 }],
  169. [{ name: '上海' }, { name: '长沙', value: 40 }],
  170. [{ name: '上海' }, { name: '北京', value: 30 }],
  171. [{ name: '上海' }, { name: '丹东', value: 20 }],
  172. [{ name: '上海' }, { name: '大连', value: 10 }],
  173. ]
  174. let GZData = [
  175. [{ name: '广州' }, { name: '福州', value: 95 }],
  176. [{ name: '广州' }, { name: '太原', value: 90 }],
  177. [{ name: '广州' }, { name: '长春', value: 80 }],
  178. [{ name: '广州' }, { name: '重庆', value: 70 }],
  179. [{ name: '广州' }, { name: '西安', value: 60 }],
  180. [{ name: '广州' }, { name: '成都', value: 50 }],
  181. [{ name: '广州' }, { name: '常州', value: 40 }],
  182. [{ name: '广州' }, { name: '北京', value: 30 }],
  183. [{ name: '广州' }, { name: '北海', value: 20 }],
  184. [{ name: '广州' }, { name: '海口', value: 10 }],
  185. ]
  186. let planePath =
  187. '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'
  188. let convertData = function (data) {
  189. let res = []
  190. for (let i = 0; i < data.length; i++) {
  191. let dataItem = data[i]
  192. let fromCoord = geoCoordMap[dataItem[0].name]
  193. let toCoord = geoCoordMap[dataItem[1].name]
  194. if (fromCoord && toCoord) {
  195. res.push({
  196. fromName: dataItem[0].name,
  197. toName: dataItem[1].name,
  198. coords: [fromCoord, toCoord],
  199. value: dataItem[1].value,
  200. })
  201. }
  202. }
  203. return res
  204. }
  205. let color = ['#a6c84c', '#ffa022', '#46bee9']
  206. let series = []
  207. ;[
  208. ['北京', BJData],
  209. ['上海', SHData],
  210. ['广州', GZData],
  211. ].forEach(function (item, i) {
  212. series.push(
  213. {
  214. name: item[0] + ' Top10',
  215. type: 'lines',
  216. coordinateSystem: 'GLMap',
  217. zlevel: 1,
  218. effect: {
  219. show: true,
  220. period: 6,
  221. trailLength: 0.7,
  222. color: '#fff',
  223. symbolSize: 3,
  224. },
  225. lineStyle: {
  226. normal: {
  227. color: color[i],
  228. width: 0,
  229. curveness: 0.2,
  230. },
  231. },
  232. data: convertData(item[1]),
  233. },
  234. {
  235. name: item[0] + ' Top10',
  236. type: 'lines',
  237. coordinateSystem: 'GLMap',
  238. zlevel: 2,
  239. symbol: ['none', 'arrow'],
  240. symbolSize: 10,
  241. effect: {
  242. show: true,
  243. period: 6,
  244. trailLength: 0,
  245. symbol: planePath,
  246. symbolSize: 15,
  247. },
  248. lineStyle: {
  249. normal: {
  250. color: color[i],
  251. width: 1,
  252. opacity: 0.6,
  253. curveness: 0.2,
  254. },
  255. },
  256. data: convertData(item[1]),
  257. },
  258. {
  259. name: item[0] + ' Top10',
  260. type: 'effectScatter',
  261. coordinateSystem: 'GLMap',
  262. zlevel: 2,
  263. rippleEffect: {
  264. brushType: 'stroke',
  265. },
  266. label: {
  267. normal: {
  268. show: true,
  269. position: 'right',
  270. formatter: '{b}',
  271. },
  272. },
  273. symbolSize: function (val) {
  274. return val[2] / 8
  275. },
  276. itemStyle: {
  277. normal: {
  278. color: color[i],
  279. },
  280. },
  281. data: item[1].map(function (dataItem) {
  282. return {
  283. name: dataItem[1].name,
  284. value: geoCoordMap[dataItem[1].name].concat([
  285. dataItem[1].value,
  286. ]),
  287. }
  288. }),
  289. }
  290. )
  291. })
  292. return {
  293. title: {
  294. text: '模拟迁徙',
  295. subtext: '数据纯属虚构',
  296. left: 'center',
  297. textStyle: {
  298. color: '#fff',
  299. },
  300. },
  301. legend: {
  302. orient: 'vertical',
  303. top: 'bottom',
  304. left: 'right',
  305. data: ['北京 Top10', '上海 Top10', '广州 Top10'],
  306. textStyle: {
  307. color: '#fff',
  308. },
  309. selectedMode: 'multiple',
  310. },
  311. series: series,
  312. }
  313. }
  314. </script>
  315. </body>
  316. </html>