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《Journal of Anhui Agricultural Sciences》 2009-25
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Study on Population Data Grid Transformation Based on Multiple Classification Smoothing Method

WANG Wen et al(The School of Environment & Natural Resources,Renmin University of China,Beijing 100872)  
Population data grid transformation is a powerful tool to solve the deficiency of data accuracy,standardization and integration in the traditional statistical data(by administrative division as the basic statistical unit).Various methods and theories of grid transformation were summarized.On this basis,the multiple classification smoothing method was put forward,which increased the accuracy of a simulation without introducing too many variables.Finally,using the population data of Henan province as an example,a continuous distribution of population density was obtained by exponential smoothing method.
【Fund】: 国家高技术研究发展计划(863计划)“农村抽样调查空间化样本抽选和管理系统(2006AA120103)”;; “大气复合污染的区域调控和决策支持技术(2006AA06A307)”
【CateGory Index】: C924.2;C81
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