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《Yunnan Geographic Environment Research》 2007-02
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YAN Qing-wu1,2,BIAN Zheng-fu1 (1.College of Environment and Spatial Informatics, China University of Mining & Technology, Xuzhou 221008,Jiangsu,China; 2.College of Urban and Environmental Science, Xuzhou Normal University, Xuzhou 221116,Jiangsu,China)  
Pixelizing social statistical data is an important problem which is studied in both geography and sociology. By its characteristic, social statistical data can be divided into two kinds, extensive statistical data and intensive statistical data. How to compute of these two kinds data when region divided or merged is studied. A method name as grid cells' areal weighted interpolation (GCAWI) is introduced to the work of pixelizing social statistical data. The principles of determining grid cells' size are pointed out. A method of neighborhood averages is tried to improve the result of pixelizing. Pixelizing per GDP data with the method of GCAWI in Xuzhou is taken as an example. With the methods of GCAWI and neighborhood averages satisfactory result is obtained.
【Fund】: 全国优秀博士论文基金资助(200044).
【CateGory Index】: P208
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Chinese Journal Full-text Database 2 Hits
1 YAN Qing-wu1,2,BIAN Zheng-fu1(1.College of Environment and Spatial Informatics,China University of Mining & Technology,Xuzhou 221008;2.College of Urban and Environmental Science,Xuzhou Normal University,Xuzhou 221116,China);Study on Distribution Patterns of Settlements Based on GIS-SDA[J];Geography and Geo-Information Science;2008-03
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