geo-lines.html 14 KB

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  1. <!DOCTYPE html>
  2. <html>
  3. <head>
  4. <meta charset="utf-8">
  5. <meta name="viewport" content="width=device-width, initial-scale=1" />
  6. <script src="lib/esl.js"></script>
  7. <script src="lib/config.js"></script>
  8. <script src="lib/jquery.min.js"></script>
  9. <script src="lib/facePrint.js"></script>
  10. <script src="lib/testHelper.js"></script>
  11. <link rel="stylesheet" href="lib/reset.css">
  12. </head>
  13. <body>
  14. <style>
  15. .test-title {
  16. background: #146402;
  17. color: #fff;
  18. }
  19. </style>
  20. <div id="main0"></div>
  21. <script>
  22. require([
  23. 'echarts', 'map/js/china'
  24. ], function (echarts) {
  25. var geoCoordMap = {
  26. '上海': [121.4648,31.2891],
  27. '东莞': [113.8953,22.901],
  28. '东营': [118.7073,37.5513],
  29. '中山': [113.4229,22.478],
  30. '临汾': [111.4783,36.1615],
  31. '临沂': [118.3118,35.2936],
  32. '丹东': [124.541,40.4242],
  33. '丽水': [119.5642,28.1854],
  34. '乌鲁木齐': [87.9236,43.5883],
  35. '佛山': [112.8955,23.1097],
  36. '保定': [115.0488,39.0948],
  37. '兰州': [103.5901,36.3043],
  38. '包头': [110.3467,41.4899],
  39. '北京': [116.4551,40.2539],
  40. '北海': [109.314,21.6211],
  41. '南京': [118.8062,31.9208],
  42. '南宁': [108.479,23.1152],
  43. '南昌': [116.0046,28.6633],
  44. '南通': [121.1023,32.1625],
  45. '厦门': [118.1689,24.6478],
  46. '台州': [121.1353,28.6688],
  47. '合肥': [117.29,32.0581],
  48. '呼和浩特': [111.4124,40.4901],
  49. '咸阳': [108.4131,34.8706],
  50. '哈尔滨': [127.9688,45.368],
  51. '唐山': [118.4766,39.6826],
  52. '嘉兴': [120.9155,30.6354],
  53. '大同': [113.7854,39.8035],
  54. '大连': [122.2229,39.4409],
  55. '天津': [117.4219,39.4189],
  56. '太原': [112.3352,37.9413],
  57. '威海': [121.9482,37.1393],
  58. '宁波': [121.5967,29.6466],
  59. '宝鸡': [107.1826,34.3433],
  60. '宿迁': [118.5535,33.7775],
  61. '常州': [119.4543,31.5582],
  62. '广州': [113.5107,23.2196],
  63. '廊坊': [116.521,39.0509],
  64. '延安': [109.1052,36.4252],
  65. '张家口': [115.1477,40.8527],
  66. '徐州': [117.5208,34.3268],
  67. '德州': [116.6858,37.2107],
  68. '惠州': [114.6204,23.1647],
  69. '成都': [103.9526,30.7617],
  70. '扬州': [119.4653,32.8162],
  71. '承德': [117.5757,41.4075],
  72. '拉萨': [91.1865,30.1465],
  73. '无锡': [120.3442,31.5527],
  74. '日照': [119.2786,35.5023],
  75. '昆明': [102.9199,25.4663],
  76. '杭州': [119.5313,29.8773],
  77. '枣庄': [117.323,34.8926],
  78. '柳州': [109.3799,24.9774],
  79. '株洲': [113.5327,27.0319],
  80. '武汉': [114.3896,30.6628],
  81. '汕头': [117.1692,23.3405],
  82. '江门': [112.6318,22.1484],
  83. '沈阳': [123.1238,42.1216],
  84. '沧州': [116.8286,38.2104],
  85. '河源': [114.917,23.9722],
  86. '泉州': [118.3228,25.1147],
  87. '泰安': [117.0264,36.0516],
  88. '泰州': [120.0586,32.5525],
  89. '济南': [117.1582,36.8701],
  90. '济宁': [116.8286,35.3375],
  91. '海口': [110.3893,19.8516],
  92. '淄博': [118.0371,36.6064],
  93. '淮安': [118.927,33.4039],
  94. '深圳': [114.5435,22.5439],
  95. '清远': [112.9175,24.3292],
  96. '温州': [120.498,27.8119],
  97. '渭南': [109.7864,35.0299],
  98. '湖州': [119.8608,30.7782],
  99. '湘潭': [112.5439,27.7075],
  100. '滨州': [117.8174,37.4963],
  101. '潍坊': [119.0918,36.524],
  102. '烟台': [120.7397,37.5128],
  103. '玉溪': [101.9312,23.8898],
  104. '珠海': [113.7305,22.1155],
  105. '盐城': [120.2234,33.5577],
  106. '盘锦': [121.9482,41.0449],
  107. '石家庄': [114.4995,38.1006],
  108. '福州': [119.4543,25.9222],
  109. '秦皇岛': [119.2126,40.0232],
  110. '绍兴': [120.564,29.7565],
  111. '聊城': [115.9167,36.4032],
  112. '肇庆': [112.1265,23.5822],
  113. '舟山': [122.2559,30.2234],
  114. '苏州': [120.6519,31.3989],
  115. '莱芜': [117.6526,36.2714],
  116. '菏泽': [115.6201,35.2057],
  117. '营口': [122.4316,40.4297],
  118. '葫芦岛': [120.1575,40.578],
  119. '衡水': [115.8838,37.7161],
  120. '衢州': [118.6853,28.8666],
  121. '西宁': [101.4038,36.8207],
  122. '西安': [109.1162,34.2004],
  123. '贵阳': [106.6992,26.7682],
  124. '连云港': [119.1248,34.552],
  125. '邢台': [114.8071,37.2821],
  126. '邯郸': [114.4775,36.535],
  127. '郑州': [113.4668,34.6234],
  128. '鄂尔多斯': [108.9734,39.2487],
  129. '重庆': [107.7539,30.1904],
  130. '金华': [120.0037,29.1028],
  131. '铜川': [109.0393,35.1947],
  132. '银川': [106.3586,38.1775],
  133. '镇江': [119.4763,31.9702],
  134. '长春': [125.8154,44.2584],
  135. '长沙': [113.0823,28.2568],
  136. '长治': [112.8625,36.4746],
  137. '阳泉': [113.4778,38.0951],
  138. '青岛': [120.4651,36.3373],
  139. '韶关': [113.7964,24.7028]
  140. };
  141. var BJData = [
  142. [{name:'北京'}, {name:'上海',value:95}],
  143. [{name:'北京'}, {name:'广州',value:90}],
  144. [{name:'北京'}, {name:'大连',value:80}],
  145. [{name:'北京'}, {name:'南宁',value:70}],
  146. [{name:'北京'}, {name:'南昌',value:60}],
  147. [{name:'北京'}, {name:'拉萨',value:50}],
  148. [{name:'北京'}, {name:'长春',value:40}],
  149. [{name:'北京'}, {name:'包头',value:30}],
  150. [{name:'北京'}, {name:'重庆',value:20}],
  151. [{name:'北京'}, {name:'常州',value:10}]
  152. ];
  153. var SHData = [
  154. [{name:'上海'},{name:'包头',value:95}],
  155. [{name:'上海'},{name:'昆明',value:90}],
  156. [{name:'上海'},{name:'广州',value:80}],
  157. [{name:'上海'},{name:'郑州',value:70}],
  158. [{name:'上海'},{name:'长春',value:60}],
  159. [{name:'上海'},{name:'重庆',value:50}],
  160. [{name:'上海'},{name:'长沙',value:40}],
  161. [{name:'上海'},{name:'北京',value:30}],
  162. [{name:'上海'},{name:'丹东',value:20}],
  163. [{name:'上海'},{name:'大连',value:10}]
  164. ];
  165. var GZData = [
  166. [{name:'广州'},{name:'福州',value:95}],
  167. [{name:'广州'},{name:'太原',value:90}],
  168. [{name:'广州'},{name:'长春',value:80}],
  169. [{name:'广州'},{name:'重庆',value:70}],
  170. [{name:'广州'},{name:'西安',value:60}],
  171. [{name:'广州'},{name:'成都',value:50}],
  172. [{name:'广州'},{name:'常州',value:40}],
  173. [{name:'广州'},{name:'北京',value:30}],
  174. [{name:'广州'},{name:'北海',value:20}],
  175. [{name:'广州'},{name:'海口',value:10}]
  176. ];
  177. var planePath = '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';
  178. var convertData = function (data) {
  179. var res = [];
  180. for (var i = 0; i < data.length; i++) {
  181. var dataItem = data[i];
  182. var fromCoord = geoCoordMap[dataItem[0].name];
  183. var toCoord = geoCoordMap[dataItem[1].name];
  184. if (fromCoord && toCoord) {
  185. res.push({
  186. fromName: dataItem[0].name,
  187. toName: dataItem[1].name,
  188. coords: [fromCoord, toCoord]
  189. });
  190. }
  191. }
  192. return res;
  193. };
  194. var color = ['#a6c84c', '#ffa022', '#46bee9'];
  195. var series = [];
  196. [['北京', BJData], ['上海', SHData], ['广州', GZData]].forEach(function (item, i) {
  197. series.push({
  198. name: item[0] + ' Top10',
  199. type: 'lines',
  200. zlevel: 1,
  201. effect: {
  202. show: true,
  203. period: 6,
  204. trailLength: 0.7,
  205. color: '#fff',
  206. symbolSize: 3
  207. },
  208. lineStyle: {
  209. normal: {
  210. color: color[i],
  211. width: 0,
  212. curveness: 0.2
  213. }
  214. },
  215. data: convertData(item[1])
  216. },
  217. {
  218. name: item[0] + ' Top10',
  219. type: 'lines',
  220. zlevel: 2,
  221. symbol: ['none', 'arrow'],
  222. symbolSize: 10,
  223. effect: {
  224. show: true,
  225. period: 6,
  226. trailLength: 0,
  227. symbol: planePath,
  228. symbolSize: 15
  229. },
  230. lineStyle: {
  231. normal: {
  232. color: color[i],
  233. width: 1,
  234. opacity: 0.6,
  235. curveness: 0.2
  236. }
  237. },
  238. data: convertData(item[1])
  239. },
  240. {
  241. name: item[0] + ' Top10',
  242. type: 'effectScatter',
  243. coordinateSystem: 'geo',
  244. zlevel: 2,
  245. rippleEffect: {
  246. brushType: 'stroke'
  247. },
  248. label: {
  249. normal: {
  250. show: true,
  251. position: 'right',
  252. formatter: '{b}'
  253. }
  254. },
  255. symbolSize: function (val) {
  256. return val[2] / 8;
  257. },
  258. itemStyle: {
  259. normal: {
  260. color: color[i]
  261. }
  262. },
  263. data: item[1].map(function (dataItem) {
  264. return {
  265. name: dataItem[1].name,
  266. value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
  267. };
  268. })
  269. });
  270. });
  271. var option = {
  272. backgroundColor: '#404a59',
  273. title : {
  274. text: '模拟迁徙',
  275. subtext: '数据纯属虚构',
  276. left: 'center',
  277. textStyle : {
  278. color: '#fff'
  279. }
  280. },
  281. tooltip : {
  282. trigger: 'item'
  283. },
  284. legend: {
  285. orient: 'vertical',
  286. top: 'bottom',
  287. left: 'right',
  288. data:['北京 Top10', '上海 Top10', '广州 Top10'],
  289. textStyle: {
  290. color: '#fff'
  291. },
  292. selectedMode: 'single'
  293. },
  294. geo: {
  295. map: 'china',
  296. label: {
  297. emphasis: {
  298. show: false
  299. }
  300. },
  301. roam: true,
  302. itemStyle: {
  303. normal: {
  304. areaColor: '#323c48',
  305. borderColor: '#404a59'
  306. },
  307. emphasis: {
  308. areaColor: '#2a333d'
  309. }
  310. }
  311. },
  312. series: series
  313. };
  314. testHelper.create(echarts, 'main0', {
  315. option: option
  316. });
  317. });
  318. </script>
  319. </body>
  320. </html>