9519b0304b1c302456d8f7ccb6e3bfdd29ecfb03.svn-base 60 KB

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  1. var cityGeo = {};
  2. for (var p in chinaCityGeo) {
  3. var province = chinaCityGeo[p];
  4. for (var city in province) {
  5. cityGeo[city] = province[city];
  6. }
  7. }
  8. // 补充几个地理信息
  9. cityGeo['盘锦'] = {y:41.119997, x:122.070714};
  10. cityGeo['舟山'] = {y:29.985295, x:122.207216};
  11. cityGeo['葫芦岛'] = {y:40.711052, x:120.836932};
  12. cityGeo['胶州'] = {y:36.264622, x:120.03336};
  13. cityGeo['台州'] = {y:28.656386, x:121.420757};
  14. cityGeo['鄂尔多斯'] = {y:39.608266, x:109.781327};
  15. cityGeo['三亚'] = {y:18.252847, x:109.511909};
  16. cityGeo['莱州'] = {y:37.177017, x:119.942327};
  17. cityGeo['瓦房店'] = {y:39.627114, x:121.979603};
  18. cityGeo['嘉峪关'] = {y:39.77313, x:98.289152};
  19. cityGeo['湛江'] = {y:21.270708, x:110.359377};
  20. cityGeo['张家港'] = {y:31.875428, x:120.555821};
  21. cityGeo['汕尾'] = {y:22.786211, x:115.375279};
  22. cityGeo['攀枝花'] = {y:26.582347, x:101.718637};
  23. cityGeo['南充'] = {y:30.837793, x:106.110698};
  24. cityGeo['自贡'] = {y:29.33903, x:104.778442};
  25. cityGeo['金昌'] = {y:38.520089, x:102.188043};
  26. cityGeo['张家界'] = {y:29.117096, x:110.479191};
  27. cityGeo['荆州'] = {y:30.335165, x:112.239741};
  28. cityGeo['菏泽'] = {y:35.23375, x:115.480656};
  29. var data = {
  30. oriData : [],
  31. cityToData : {},
  32. //cityArray : [],
  33. aqi : [], aqiMin:0, aqiMax:500,
  34. pm25 : [], pm25Min:0, pm25Max:800,
  35. pm10 : [], pm10Min:0, pm10Max:800,
  36. co : [], coMin:0, coMax:15,
  37. no2 : [], no2Min:0, no2Max:300,
  38. o3 : [], o3Min:0, o3Max:300,
  39. so2 : [], so2Min:0, so2Max:500,
  40. geoCoord : {}
  41. };
  42. data.format = function (oriData) {
  43. data.oriData = oriData;
  44. var city;
  45. var cityToData = {};
  46. //var cityArray = [];
  47. var geoCoord = {};
  48. function pushData(key, city, value) {
  49. data[key].push({name:city, value:value});
  50. // data[key+'Min'] = Math.min(data[key+'Min'], value);
  51. // data[key+'Max'] = Math.max(data[key+'Max'], value);
  52. }
  53. var singleData;
  54. for (var i = 0, l = oriData.length; i < l; i++) {
  55. singleData = oriData[i]
  56. city = singleData.area;
  57. //cityArray.push(city);
  58. cityToData[city] = singleData;
  59. pushData('aqi', city, singleData.aqi);
  60. pushData('pm25', city, singleData.pm2_5);
  61. pushData('pm10', city, singleData.pm10);
  62. pushData('co', city, singleData.co);
  63. pushData('no2', city, singleData.no2);
  64. pushData('o3', city, singleData.o3);
  65. pushData('so2', city, singleData.so2);
  66. geoCoord[city] = cityGeo[city];
  67. }
  68. function sortData(a, b) {
  69. return a.value - b.value
  70. }
  71. data['aqi'].sort(sortData);
  72. data['pm25'].sort(sortData);
  73. data['pm10'].sort(sortData);
  74. data['co'].sort(sortData);
  75. data['no2'].sort(sortData);
  76. data['o3'].sort(sortData);
  77. data['so2'].sort(sortData);
  78. data.oriData = oriData;
  79. data.cityToData = cityToData;
  80. //data.cityArray = cityArray;
  81. data.geoCoord = geoCoord;
  82. }
  83. // 重点城市的人口和GDP
  84. var PG = {
  85. '北京':{pop:1297.46, gdp:17879.4},
  86. '天津':{pop:993.2, gdp:12893.88},
  87. '石家庄':{pop:1005.33, gdp:4500.2},
  88. '太原':{pop:365.84, gdp:2311.4},
  89. '呼和浩特':{pop:230.32, gdp:2475.6},
  90. '沈阳':{pop:724.79, gdp:6602.6},
  91. '大连':{pop:590.31, gdp:7002.8},
  92. '长春':{pop:756.9, gdp:4456.6},
  93. '哈尔滨':{pop:993.53, gdp:4550.2},
  94. '上海':{pop:1426.93, gdp:20181.72},
  95. '南京':{pop:638.48, gdp:7201.6},
  96. '杭州':{pop:700.52, gdp:7802},
  97. '宁波':{pop:577.71, gdp:6582.2},
  98. '合肥':{pop:710.53, gdp:4164.3},
  99. '福州':{pop:655.27, gdp:4218.3},
  100. '厦门':{pop:190.92, gdp:2817.1},
  101. '南昌':{pop:507.87, gdp:3000.5},
  102. '济南':{pop:609.21, gdp:4803.7},
  103. '青岛':{pop:769.56, gdp:7302.1},
  104. '郑州':{pop:1072.5, gdp:5549.8},
  105. '武汉':{pop:821.71, gdp:8003.8},
  106. '长沙':{pop:660.62, gdp:6399.9},
  107. '广州':{pop:822.3, gdp:13551.2},
  108. '深圳':{pop:287.62, gdp:12950.1},
  109. '南宁':{pop:713.5, gdp:2503.2},
  110. '海口':{pop:161.59, gdp:818.8},
  111. '重庆':{pop:3343.44, gdp:11409.6},
  112. '成都':{pop:1173.3, gdp:8138.9},
  113. '贵阳':{pop:374.53, gdp:1700.3},
  114. '昆明':{pop:543.48, gdp:3011.1},
  115. '拉萨':{pop:50, gdp:260.1},
  116. '西安':{pop:795.98, gdp:4366.1},
  117. '兰州':{pop:321.52, gdp:1563.8},
  118. '西宁':{pop:198.46, gdp:851.1},
  119. '银川':{pop:167.22, gdp:1150.9},
  120. '乌鲁木齐':{pop:257.8, gdp:2004.1}
  121. };
  122. //颜色映射
  123. var eColorMap = {
  124. 'aqi' : '#87cefa',
  125. 'pm25' : '#ff7f50',
  126. 'pm10' : '#da70d6',
  127. 'co' : '#32cd32',
  128. 'no2' : '#6495ed',
  129. 'o3' : '#ff69b4',
  130. 'so2' : '#87cefa'
  131. };
  132. var testData = 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