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migrate.html 12KB

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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(
  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() {
  35. let geoCoordMap = {
  36. 上海: [121.4648, 31.2891],
  37. 东莞: [113.8953, 22.901],
  38. 东营: [118.7073, 37.5513],
  39. 中山: [113.4229, 22.478],
  40. 临汾: [111.4783, 36.1615],
  41. 临沂: [118.3118, 35.2936],
  42. 丹东: [124.541, 40.4242],
  43. 丽水: [119.5642, 28.1854],
  44. 乌鲁木齐: [87.9236, 43.5883],
  45. 佛山: [112.8955, 23.1097],
  46. 保定: [115.0488, 39.0948],
  47. 兰州: [103.5901, 36.3043],
  48. 包头: [110.3467, 41.4899],
  49. 北京: [116.4551, 40.2539],
  50. 北海: [109.314, 21.6211],
  51. 南京: [118.8062, 31.9208],
  52. 南宁: [108.479, 23.1152],
  53. 南昌: [116.0046, 28.6633],
  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. 常州: [119.4543, 31.5582],
  72. 广州: [113.5107, 23.2196],
  73. 廊坊: [116.521, 39.0509],
  74. 延安: [109.1052, 36.4252],
  75. 张家口: [115.1477, 40.8527],
  76. 徐州: [117.5208, 34.3268],
  77. 德州: [116.6858, 37.2107],
  78. 惠州: [114.6204, 23.1647],
  79. 成都: [103.9526, 30.7617],
  80. 扬州: [119.4653, 32.8162],
  81. 承德: [117.5757, 41.4075],
  82. 拉萨: [91.1865, 30.1465],
  83. 无锡: [120.3442, 31.5527],
  84. 日照: [119.2786, 35.5023],
  85. 昆明: [102.9199, 25.4663],
  86. 杭州: [119.5313, 29.8773],
  87. 枣庄: [117.323, 34.8926],
  88. 柳州: [109.3799, 24.9774],
  89. 株洲: [113.5327, 27.0319],
  90. 武汉: [114.3896, 30.6628],
  91. 汕头: [117.1692, 23.3405],
  92. 江门: [112.6318, 22.1484],
  93. 沈阳: [123.1238, 42.1216],
  94. 沧州: [116.8286, 38.2104],
  95. 河源: [114.917, 23.9722],
  96. 泉州: [118.3228, 25.1147],
  97. 泰安: [117.0264, 36.0516],
  98. 泰州: [120.0586, 32.5525],
  99. 济南: [117.1582, 36.8701],
  100. 济宁: [116.8286, 35.3375],
  101. 海口: [110.3893, 19.8516],
  102. 淄博: [118.0371, 36.6064],
  103. 淮安: [118.927, 33.4039],
  104. 深圳: [114.5435, 22.5439],
  105. 清远: [112.9175, 24.3292],
  106. 温州: [120.498, 27.8119],
  107. 渭南: [109.7864, 35.0299],
  108. 湖州: [119.8608, 30.7782],
  109. 湘潭: [112.5439, 27.7075],
  110. 滨州: [117.8174, 37.4963],
  111. 潍坊: [119.0918, 36.524],
  112. 烟台: [120.7397, 37.5128],
  113. 玉溪: [101.9312, 23.8898],
  114. 珠海: [113.7305, 22.1155],
  115. 盐城: [120.2234, 33.5577],
  116. 盘锦: [121.9482, 41.0449],
  117. 石家庄: [114.4995, 38.1006],
  118. 福州: [119.4543, 25.9222],
  119. 秦皇岛: [119.2126, 40.0232],
  120. 绍兴: [120.564, 29.7565],
  121. 聊城: [115.9167, 36.4032],
  122. 肇庆: [112.1265, 23.5822],
  123. 舟山: [122.2559, 30.2234],
  124. 苏州: [120.6519, 31.3989],
  125. 莱芜: [117.6526, 36.2714],
  126. 菏泽: [115.6201, 35.2057],
  127. 营口: [122.4316, 40.4297],
  128. 葫芦岛: [120.1575, 40.578],
  129. 衡水: [115.8838, 37.7161],
  130. 衢州: [118.6853, 28.8666],
  131. 西宁: [101.4038, 36.8207],
  132. 西安: [109.1162, 34.2004],
  133. 贵阳: [106.6992, 26.7682],
  134. 连云港: [119.1248, 34.552],
  135. 邢台: [114.8071, 37.2821],
  136. 邯郸: [114.4775, 36.535],
  137. 郑州: [113.4668, 34.6234],
  138. 鄂尔多斯: [108.9734, 39.2487],
  139. 重庆: [107.7539, 30.1904],
  140. 金华: [120.0037, 29.1028],
  141. 铜川: [109.0393, 35.1947],
  142. 银川: [106.3586, 38.1775],
  143. 镇江: [119.4763, 31.9702],
  144. 长春: [125.8154, 44.2584],
  145. 长沙: [113.0823, 28.2568],
  146. 长治: [112.8625, 36.4746],
  147. 阳泉: [113.4778, 38.0951],
  148. 青岛: [120.4651, 36.3373],
  149. 韶关: [113.7964, 24.7028],
  150. }
  151. let BJData = [
  152. [{ name: '北京' }, { name: '上海', value: 95 }],
  153. [{ name: '北京' }, { name: '广州', value: 90 }],
  154. [{ name: '北京' }, { name: '大连', value: 80 }],
  155. [{ name: '北京' }, { name: '南宁', value: 70 }],
  156. [{ name: '北京' }, { name: '南昌', value: 60 }],
  157. [{ name: '北京' }, { name: '拉萨', value: 50 }],
  158. [{ name: '北京' }, { name: '长春', value: 40 }],
  159. [{ name: '北京' }, { name: '包头', value: 30 }],
  160. [{ name: '北京' }, { name: '重庆', value: 20 }],
  161. [{ name: '北京' }, { name: '常州', value: 10 }],
  162. ]
  163. let SHData = [
  164. [{ name: '上海' }, { name: '包头', value: 95 }],
  165. [{ name: '上海' }, { name: '昆明', value: 90 }],
  166. [{ name: '上海' }, { name: '广州', value: 80 }],
  167. [{ name: '上海' }, { name: '郑州', value: 70 }],
  168. [{ name: '上海' }, { name: '长春', value: 60 }],
  169. [{ name: '上海' }, { name: '重庆', value: 50 }],
  170. [{ name: '上海' }, { name: '长沙', value: 40 }],
  171. [{ name: '上海' }, { name: '北京', value: 30 }],
  172. [{ name: '上海' }, { name: '丹东', value: 20 }],
  173. [{ name: '上海' }, { name: '大连', value: 10 }],
  174. ]
  175. let GZData = [
  176. [{ name: '广州' }, { name: '福州', value: 95 }],
  177. [{ name: '广州' }, { name: '太原', value: 90 }],
  178. [{ name: '广州' }, { name: '长春', value: 80 }],
  179. [{ name: '广州' }, { name: '重庆', value: 70 }],
  180. [{ name: '广州' }, { name: '西安', value: 60 }],
  181. [{ name: '广州' }, { name: '成都', value: 50 }],
  182. [{ name: '广州' }, { name: '常州', value: 40 }],
  183. [{ name: '广州' }, { name: '北京', value: 30 }],
  184. [{ name: '广州' }, { name: '北海', value: 20 }],
  185. [{ name: '广州' }, { name: '海口', value: 10 }],
  186. ]
  187. let planePath =
  188. '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'
  189. let convertData = function (data) {
  190. let res = []
  191. for (let i = 0; i < data.length; i++) {
  192. let dataItem = data[i]
  193. let fromCoord = geoCoordMap[dataItem[0].name]
  194. let toCoord = geoCoordMap[dataItem[1].name]
  195. if (fromCoord && toCoord) {
  196. res.push({
  197. fromName: dataItem[0].name,
  198. toName: dataItem[1].name,
  199. coords: [fromCoord, toCoord],
  200. value: dataItem[1].value,
  201. })
  202. }
  203. }
  204. return res
  205. }
  206. let color = ['#a6c84c', '#ffa022', '#46bee9']
  207. let series = []
  208. ;[
  209. ['北京', BJData],
  210. ['上海', SHData],
  211. ['广州', GZData],
  212. ].forEach(function (item, i) {
  213. series.push(
  214. {
  215. name: item[0] + ' Top10',
  216. type: 'lines',
  217. coordinateSystem: 'GLMap',
  218. zlevel: 1,
  219. effect: {
  220. show: true,
  221. period: 6,
  222. trailLength: 0.7,
  223. color: '#fff',
  224. symbolSize: 3,
  225. },
  226. lineStyle: {
  227. normal: {
  228. color: color[i],
  229. width: 0,
  230. curveness: 0.2,
  231. },
  232. },
  233. data: convertData(item[1]),
  234. },
  235. {
  236. name: item[0] + ' Top10',
  237. type: 'lines',
  238. coordinateSystem: 'GLMap',
  239. zlevel: 2,
  240. symbol: ['none', 'arrow'],
  241. symbolSize: 10,
  242. effect: {
  243. show: true,
  244. period: 6,
  245. trailLength: 0,
  246. symbol: planePath,
  247. symbolSize: 15,
  248. },
  249. lineStyle: {
  250. normal: {
  251. color: color[i],
  252. width: 1,
  253. opacity: 0.6,
  254. curveness: 0.2,
  255. },
  256. },
  257. data: convertData(item[1]),
  258. },
  259. {
  260. name: item[0] + ' Top10',
  261. type: 'effectScatter',
  262. coordinateSystem: 'GLMap',
  263. zlevel: 2,
  264. rippleEffect: {
  265. brushType: 'stroke',
  266. },
  267. label: {
  268. normal: {
  269. show: true,
  270. position: 'right',
  271. formatter: '{b}',
  272. },
  273. },
  274. symbolSize: function (val) {
  275. return val[2] / 8
  276. },
  277. itemStyle: {
  278. normal: {
  279. color: color[i],
  280. },
  281. },
  282. data: item[1].map(function (dataItem) {
  283. return {
  284. name: dataItem[1].name,
  285. value: geoCoordMap[dataItem[1].name].concat([
  286. dataItem[1].value,
  287. ]),
  288. }
  289. }),
  290. }
  291. )
  292. })
  293. return {
  294. title: {
  295. text: '模拟迁徙',
  296. subtext: '数据纯属虚构',
  297. left: 'center',
  298. textStyle: {
  299. color: '#fff',
  300. },
  301. },
  302. legend: {
  303. orient: 'vertical',
  304. top: 'bottom',
  305. left: 'right',
  306. data: ['北京 Top10', '上海 Top10', '广州 Top10'],
  307. textStyle: {
  308. color: '#fff',
  309. },
  310. selectedMode: 'multiple',
  311. },
  312. series: series,
  313. }
  314. }
  315. DC.ready({
  316. baseUrl: '../libs/dc-sdk/resources/',
  317. echarts: window.echarts,
  318. }).then(initViewer)
  319. </script>
  320. </body>
  321. </html>