echartsGeoLines.html 11 KB

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  1. <!--********************************************************************
  2. * Copyright© 2000 - 2021 SuperMap Software Co.Ltd. All rights reserved.
  3. *********************************************************************-->
  4. <!DOCTYPE html>
  5. <html>
  6. <head>
  7. <meta charset="UTF-8">
  8. <title data-i18n="resources.title_geoline"></title>
  9. <script type="text/javascript" src="../js/include-web.js"></script>
  10. </head>
  11. <body style=" margin: 0;overflow: hidden;background: #fff;width: 100%;height:100%;position: absolute;top: 0;">
  12. <div id="map" style="margin:0 auto;width: 100%;height: 100%"></div>
  13. <script type="text/javascript" include="echarts" src="../../dist/leaflet/include-leaflet.js"></script>
  14. <script type="text/javascript">
  15. var host = window.isLocal ? window.server : "https://iserver.supermap.io";
  16. var map, url = host + "/iserver/services/map-world/rest/maps/世界地图_Gray";
  17. map = L.map('map', {
  18. crs: L.CRS.EPSG4326,
  19. center: [31.66, 114.88],
  20. maxZoom: 18,
  21. zoom: 5
  22. });
  23. L.supermap.tiledMapLayer(url).addTo(map);
  24. var geoCoordMap = {
  25. '上海': [121.4648, 31.2891],
  26. '东莞': [113.8953, 22.901],
  27. '东营': [118.7073, 37.5513],
  28. '中山': [113.4229, 22.478],
  29. '临汾': [111.4783, 36.1615],
  30. '临沂': [118.3118, 35.2936],
  31. '丹东': [124.541, 40.4242],
  32. '丽水': [119.5642, 28.1854],
  33. '乌鲁木齐': [87.9236, 43.5883],
  34. '佛山': [112.8955, 23.1097],
  35. '保定': [115.0488, 39.0948],
  36. '兰州': [103.5901, 36.3043],
  37. '包头': [110.3467, 41.4899],
  38. '北京': [116.4551, 40.2539],
  39. '北海': [109.314, 21.6211],
  40. '南京': [118.8062, 31.9208],
  41. '南宁': [108.479, 23.1152],
  42. '南昌': [116.0046, 28.6633],
  43. '南通': [121.1023, 32.1625],
  44. '厦门': [118.1689, 24.6478],
  45. '台州': [121.1353, 28.6688],
  46. '合肥': [117.29, 32.0581],
  47. '呼和浩特': [111.4124, 40.4901],
  48. '咸阳': [108.4131, 34.8706],
  49. '哈尔滨': [127.9688, 45.368],
  50. '唐山': [118.4766, 39.6826],
  51. '嘉兴': [120.9155, 30.6354],
  52. '大同': [113.7854, 39.8035],
  53. '大连': [122.2229, 39.4409],
  54. '天津': [117.4219, 39.4189],
  55. '太原': [112.3352, 37.9413],
  56. '威海': [121.9482, 37.1393],
  57. '宁波': [121.5967, 29.6466],
  58. '宝鸡': [107.1826, 34.3433],
  59. '宿迁': [118.5535, 33.7775],
  60. '常州': [119.4543, 31.5582],
  61. '广州': [113.5107, 23.2196],
  62. '廊坊': [116.521, 39.0509],
  63. '延安': [109.1052, 36.4252],
  64. '张家口': [115.1477, 40.8527],
  65. '徐州': [117.5208, 34.3268],
  66. '德州': [116.6858, 37.2107],
  67. '惠州': [114.6204, 23.1647],
  68. '成都': [103.9526, 30.7617],
  69. '扬州': [119.4653, 32.8162],
  70. '承德': [117.5757, 41.4075],
  71. '拉萨': [91.1865, 30.1465],
  72. '无锡': [120.3442, 31.5527],
  73. '日照': [119.2786, 35.5023],
  74. '昆明': [102.9199, 25.4663],
  75. '杭州': [119.5313, 29.8773],
  76. '枣庄': [117.323, 34.8926],
  77. '柳州': [109.3799, 24.9774],
  78. '株洲': [113.5327, 27.0319],
  79. '武汉': [114.3896, 30.6628],
  80. '汕头': [117.1692, 23.3405],
  81. '江门': [112.6318, 22.1484],
  82. '沈阳': [123.1238, 42.1216],
  83. '沧州': [116.8286, 38.2104],
  84. '河源': [114.917, 23.9722],
  85. '泉州': [118.3228, 25.1147],
  86. '泰安': [117.0264, 36.0516],
  87. '泰州': [120.0586, 32.5525],
  88. '济南': [117.1582, 36.8701],
  89. '济宁': [116.8286, 35.3375],
  90. '海口': [110.3893, 19.8516],
  91. '淄博': [118.0371, 36.6064],
  92. '淮安': [118.927, 33.4039],
  93. '深圳': [114.5435, 22.5439],
  94. '清远': [112.9175, 24.3292],
  95. '温州': [120.498, 27.8119],
  96. '渭南': [109.7864, 35.0299],
  97. '湖州': [119.8608, 30.7782],
  98. '湘潭': [112.5439, 27.7075],
  99. '滨州': [117.8174, 37.4963],
  100. '潍坊': [119.0918, 36.524],
  101. '烟台': [120.7397, 37.5128],
  102. '玉溪': [101.9312, 23.8898],
  103. '珠海': [113.7305, 22.1155],
  104. '盐城': [120.2234, 33.5577],
  105. '盘锦': [121.9482, 41.0449],
  106. '石家庄': [114.4995, 38.1006],
  107. '福州': [119.4543, 25.9222],
  108. '秦皇岛': [119.2126, 40.0232],
  109. '绍兴': [120.564, 29.7565],
  110. '聊城': [115.9167, 36.4032],
  111. '肇庆': [112.1265, 23.5822],
  112. '舟山': [122.2559, 30.2234],
  113. '苏州': [120.6519, 31.3989],
  114. '莱芜': [117.6526, 36.2714],
  115. '菏泽': [115.6201, 35.2057],
  116. '营口': [122.4316, 40.4297],
  117. '葫芦岛': [120.1575, 40.578],
  118. '衡水': [115.8838, 37.7161],
  119. '衢州': [118.6853, 28.8666],
  120. '西宁': [101.4038, 36.8207],
  121. '西安': [109.1162, 34.2004],
  122. '贵阳': [106.6992, 26.7682],
  123. '连云港': [119.1248, 34.552],
  124. '邢台': [114.8071, 37.2821],
  125. '邯郸': [114.4775, 36.535],
  126. '郑州': [113.4668, 34.6234],
  127. '鄂尔多斯': [108.9734, 39.2487],
  128. '重庆': [107.7539, 30.1904],
  129. '金华': [120.0037, 29.1028],
  130. '铜川': [109.0393, 35.1947],
  131. '银川': [106.3586, 38.1775],
  132. '镇江': [119.4763, 31.9702],
  133. '长春': [125.8154, 44.2584],
  134. '长沙': [113.0823, 28.2568],
  135. '长治': [112.8625, 36.4746],
  136. '阳泉': [113.4778, 38.0951],
  137. '青岛': [120.4651, 36.3373],
  138. '韶关': [113.7964, 24.7028]
  139. };
  140. var BJData = [
  141. [{name: '北京'}, {name: '上海', value: 95}],
  142. [{name: '北京'}, {name: '广州', value: 90}],
  143. [{name: '北京'}, {name: '大连', value: 80}],
  144. [{name: '北京'}, {name: '南宁', value: 70}],
  145. [{name: '北京'}, {name: '南昌', value: 60}],
  146. [{name: '北京'}, {name: '拉萨', value: 50}],
  147. [{name: '北京'}, {name: '长春', value: 40}],
  148. [{name: '北京'}, {name: '包头', value: 30}],
  149. [{name: '北京'}, {name: '重庆', value: 20}],
  150. [{name: '北京'}, {name: '常州', value: 10}]
  151. ];
  152. var SHData = [
  153. [{name: '上海'}, {name: '包头', value: 95}],
  154. [{name: '上海'}, {name: '昆明', value: 90}],
  155. [{name: '上海'}, {name: '广州', value: 80}],
  156. [{name: '上海'}, {name: '郑州', value: 70}],
  157. [{name: '上海'}, {name: '长春', value: 60}],
  158. [{name: '上海'}, {name: '重庆', value: 50}],
  159. [{name: '上海'}, {name: '长沙', value: 40}],
  160. [{name: '上海'}, {name: '北京', value: 30}],
  161. [{name: '上海'}, {name: '丹东', value: 20}],
  162. [{name: '上海'}, {name: '大连', value: 10}]
  163. ];
  164. var GZData = [
  165. [{name: '广州'}, {name: '福州', value: 95}],
  166. [{name: '广州'}, {name: '太原', value: 90}],
  167. [{name: '广州'}, {name: '长春', value: 80}],
  168. [{name: '广州'}, {name: '重庆', value: 70}],
  169. [{name: '广州'}, {name: '西安', value: 60}],
  170. [{name: '广州'}, {name: '成都', value: 50}],
  171. [{name: '广州'}, {name: '常州', value: 40}],
  172. [{name: '广州'}, {name: '北京', value: 30}],
  173. [{name: '广州'}, {name: '北海', value: 20}],
  174. [{name: '广州'}, {name: '海口', value: 10}]
  175. ];
  176. 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';
  177. var convertData = function (data) {
  178. var res = [];
  179. for (var i = 0; i < data.length; i++) {
  180. var dataItem = data[i];
  181. var fromCoord = geoCoordMap[dataItem[0].name];
  182. var toCoord = geoCoordMap[dataItem[1].name];
  183. if (fromCoord && toCoord) {
  184. res.push({
  185. fromName: dataItem[0].name,
  186. toName: dataItem[1].name,
  187. coords: [fromCoord, toCoord]
  188. });
  189. }
  190. }
  191. return res;
  192. };
  193. var color = ['#a6c84c', '#ffa022', '#46bee9'];
  194. var series = [];
  195. [['北京', BJData], ['上海', SHData], ['广州', GZData]].forEach(function (item, i) {
  196. series.push({
  197. name: item[0] + ' Top10',
  198. type: 'lines',
  199. coordinateSystem: 'leaflet',
  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. coordinateSystem: 'leaflet',
  221. zlevel: 2,
  222. symbol: ['none', 'arrow'],
  223. symbolSize: 10,
  224. effect: {
  225. show: true,
  226. period: 6,
  227. trailLength: 0,
  228. symbol: planePath,
  229. symbolSize: 15
  230. },
  231. lineStyle: {
  232. normal: {
  233. color: color[i],
  234. width: 1,
  235. opacity: 0.6,
  236. curveness: 0.2
  237. }
  238. },
  239. data: convertData(item[1])
  240. },
  241. {
  242. name: item[0] + ' Top10',
  243. type: 'effectScatter',
  244. coordinateSystem: 'leaflet',
  245. zlevel: 2,
  246. rippleEffect: {
  247. brushType: 'stroke'
  248. },
  249. label: {
  250. normal: {
  251. show: true,
  252. position: 'right',
  253. formatter: '{b}'
  254. }
  255. },
  256. symbolSize: function (val) {
  257. return val[2] / 8;
  258. },
  259. itemStyle: {
  260. normal: {
  261. color: color[i]
  262. }
  263. },
  264. data: item[1].map(function (dataItem) {
  265. return {
  266. name: dataItem[1].name,
  267. value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
  268. };
  269. })
  270. });
  271. });
  272. option = {
  273. title: {
  274. text: resources.text_geoline,
  275. subtext: resources.text_fictitiouData,
  276. left: 'center'
  277. },
  278. tooltip: {
  279. trigger: 'item'
  280. },
  281. legend: {
  282. orient: 'vertical',
  283. top: 'top',
  284. left: 'right',
  285. data: ['北京 Top10', '上海 Top10', '广州 Top10'],
  286. textStyle: {
  287. color: '#fff'
  288. },
  289. selectedMode: 'multiple',
  290. backgroundColor: 'rgba(128, 128, 128, 0.5)'
  291. },
  292. series: series
  293. };
  294. L.supermap.echartsLayer(option).addTo(map);
  295. </script>
  296. </body>
  297. </html>