Nelze vybrat více než 25 témat Téma musí začínat písmenem nebo číslem, může obsahovat pomlčky („-“) a může být dlouhé až 35 znaků.

m_polyline_i.html 6.1KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208
  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="../dat.gui.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. let geoCoordMap = {
  17. 上海: [121.4648, 31.2891],
  18. 东莞: [113.8953, 22.901],
  19. 东营: [118.7073, 37.5513],
  20. 中山: [113.4229, 22.478],
  21. 临汾: [111.4783, 36.1615],
  22. 临沂: [118.3118, 35.2936],
  23. 丹东: [124.541, 40.4242],
  24. 丽水: [119.5642, 28.1854],
  25. 乌鲁木齐: [87.9236, 43.5883],
  26. 佛山: [112.8955, 23.1097],
  27. 保定: [115.0488, 39.0948],
  28. 兰州: [103.5901, 36.3043],
  29. 包头: [110.3467, 41.4899],
  30. 北京: [116.4551, 40.2539],
  31. 北海: [109.314, 21.6211],
  32. 南京: [118.8062, 31.9208],
  33. 南宁: [108.479, 23.1152],
  34. 南昌: [116.0046, 28.6633],
  35. 赣州: [116.0046, 25.6633],
  36. 南通: [121.1023, 32.1625],
  37. 厦门: [118.1689, 24.6478],
  38. 台州: [121.1353, 28.6688],
  39. 合肥: [117.29, 32.0581],
  40. 呼和浩特: [111.4124, 40.4901],
  41. 咸阳: [108.4131, 34.8706],
  42. 哈尔滨: [127.9688, 45.368],
  43. 唐山: [118.4766, 39.6826],
  44. 嘉兴: [120.9155, 30.6354],
  45. 大同: [113.7854, 39.8035],
  46. 大连: [122.2229, 39.4409],
  47. 天津: [117.4219, 39.4189],
  48. 太原: [112.3352, 37.9413],
  49. 威海: [121.9482, 37.1393],
  50. 宁波: [121.5967, 29.6466],
  51. 宝鸡: [107.1826, 34.3433],
  52. 宿迁: [118.5535, 33.7775],
  53. 宿州: [117.5535, 33.7775],
  54. 常州: [119.4543, 31.5582],
  55. 广州: [113.5107, 23.2196],
  56. 廊坊: [116.521, 39.0509],
  57. 延安: [109.1052, 36.4252],
  58. 张家口: [115.1477, 40.8527],
  59. 徐州: [117.5208, 34.3268],
  60. 德州: [116.6858, 37.2107],
  61. 惠州: [114.6204, 23.1647],
  62. 成都: [103.9526, 30.7617],
  63. 扬州: [119.4653, 32.8162],
  64. 承德: [117.5757, 41.4075],
  65. 拉萨: [91.1865, 30.1465],
  66. 无锡: [120.3442, 31.5527],
  67. 日照: [119.2786, 35.5023],
  68. 昆明: [102.9199, 25.4663],
  69. 杭州: [119.5313, 29.8773],
  70. 枣庄: [117.323, 34.8926],
  71. 曲阜: [117.323, 35.8926],
  72. 柳州: [109.3799, 24.9774],
  73. 株洲: [113.5327, 27.0319],
  74. 武汉: [114.3896, 30.6628],
  75. 汕头: [117.1692, 23.3405],
  76. 江门: [112.6318, 22.1484],
  77. 沈阳: [123.1238, 42.1216],
  78. 沧州: [116.8286, 38.2104],
  79. 河源: [114.917, 23.9722],
  80. 泉州: [118.3228, 25.1147],
  81. 泰安: [117.0264, 36.0516],
  82. 泰州: [120.0586, 32.5525],
  83. 济南: [117.1582, 36.8701],
  84. 济宁: [116.8286, 35.3375],
  85. 海口: [110.3893, 19.8516],
  86. 淄博: [118.0371, 36.6064],
  87. 淮安: [118.927, 33.4039],
  88. 深圳: [114.5435, 22.5439],
  89. 清远: [112.9175, 24.3292],
  90. 温州: [120.498, 27.8119],
  91. 渭南: [109.7864, 35.0299],
  92. 湖州: [119.8608, 30.7782],
  93. 湘潭: [112.5439, 27.7075],
  94. 滨州: [117.8174, 37.4963],
  95. 潍坊: [119.0918, 36.524],
  96. 烟台: [120.7397, 37.5128],
  97. 玉溪: [101.9312, 23.8898],
  98. 珠海: [113.7305, 22.1155],
  99. 盐城: [120.2234, 33.5577],
  100. 盘锦: [121.9482, 41.0449],
  101. 石家庄: [114.4995, 38.1006],
  102. 福州: [119.4543, 25.9222],
  103. 秦皇岛: [119.2126, 40.0232],
  104. 绍兴: [120.564, 29.7565],
  105. 聊城: [115.9167, 36.4032],
  106. 肇庆: [112.1265, 23.5822],
  107. 舟山: [122.2559, 30.2234],
  108. 苏州: [120.6519, 31.3989],
  109. 莱芜: [117.6526, 36.2714],
  110. 菏泽: [115.6201, 35.2057],
  111. 营口: [122.4316, 40.4297],
  112. 葫芦岛: [120.1575, 40.578],
  113. 衡水: [115.8838, 37.7161],
  114. 衢州: [118.6853, 28.8666],
  115. 西宁: [101.4038, 36.8207],
  116. 西安: [109.1162, 34.2004],
  117. 贵阳: [106.6992, 26.7682],
  118. 连云港: [119.1248, 34.552],
  119. 邢台: [114.8071, 37.2821],
  120. 邯郸: [114.4775, 36.535],
  121. 郑州: [113.4668, 34.6234],
  122. 鄂尔多斯: [108.9734, 39.2487],
  123. 重庆: [107.7539, 30.1904],
  124. 金华: [120.0037, 29.1028],
  125. 铜川: [109.0393, 35.1947],
  126. 银川: [106.3586, 38.1775],
  127. 镇江: [119.4763, 31.9702],
  128. 长春: [125.8154, 44.2584],
  129. 长沙: [113.0823, 28.2568],
  130. 长治: [112.8625, 36.4746],
  131. 阳泉: [113.4778, 38.0951],
  132. 青岛: [120.4651, 36.3373],
  133. 韶关: [113.7964, 24.7028]
  134. }
  135. function initViewer() {
  136. viewer = new DC.Viewer('viewer-container')
  137. viewer.scene.canvas.setAttribute('tabIndex', 0)
  138. let baselayer_midnight = DC.ImageryLayerFactory.createBaiduImageryLayer({
  139. style: 'dark'
  140. })
  141. viewer.addBaseLayer(baselayer_midnight, {
  142. iconUrl: '../assets/icon/midnight.png',
  143. name: '午夜蓝'
  144. })
  145. let data = []
  146. let geoCoordMapArr = []
  147. for (let key in geoCoordMap) {
  148. let geoCoord = geoCoordMap[key]
  149. geoCoordMapArr.push({
  150. name: geoCoord,
  151. geoCoord: geoCoordMap[key]
  152. })
  153. }
  154. for (let i = 0; i < 200; i++) {
  155. let cityCenter1 =
  156. geoCoordMapArr[parseInt(Math.random() * geoCoordMapArr.length)].geoCoord
  157. let cityCenter2 =
  158. geoCoordMapArr[parseInt(Math.random() * geoCoordMapArr.length)].geoCoord
  159. data.push({
  160. geometry: {
  161. type: 'LineString',
  162. coordinates: [
  163. [
  164. cityCenter1[0] - 1 + Math.random() * 1,
  165. cityCenter1[1] - 1 + Math.random() * 1
  166. ],
  167. [
  168. cityCenter2[0] - 1 + Math.random() * 1,
  169. cityCenter2[1] - 1 + Math.random() * 1
  170. ]
  171. ]
  172. },
  173. count: 30 * Math.random()
  174. })
  175. }
  176. let dataset = new DC.MapvDataSet(data)
  177. var options = {
  178. gradient: {
  179. 0: 'blue',
  180. 0.5: 'yellow',
  181. 1: 'red'
  182. },
  183. lineWidth: 0.5,
  184. max: 30,
  185. draw: 'intensity'
  186. }
  187. let layer = new DC.MapvLayer('layer', options)
  188. viewer.addLayer(layer)
  189. viewer.flyToPosition(
  190. new DC.Position(108.198353, 20.758452, 10733735.96, 0, -90, 0),
  191. () => {
  192. layer.setDataSet(dataset)
  193. }
  194. )
  195. }
  196. DC.ready({
  197. baseUrl:'../libs/dc-sdk/resources/'
  198. }).then(initViewer)
  199. </script>
  200. </body>
  201. </html>