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《Science of Surveying and Mapping》 2017-01
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Method of population spatialization under the support of geographic national conditions data

YANG Ruihong;DONG Chun;ZHANG Yu;Henan College of Industry and Information Technology;Chinese Academy of Surveying and Mapping;  
As to the issues related with the traditional population spatialization method such as multiple data sources,complex model,ignorance of the impact of residential building type and so on,this paper proposes a population spatialization method based on residential architectures as the reference of population distribution.Under the support of Geographic national conditions data.Eighteen townships in Zhuzhou are selected in this paper.First,Residential buildings are reclassified as high-rise houses,lowrise houses and abandoned houses and the residential densities of all kinds of residential buildings are calculated using the least square method.Then,the residential densities of all kinds of residential buildings in each town are adjusted according to the relative error of population estimate.Finally,population density map in 250 mgrid scale is achieved using overlay analysis of GIS.Text results show that,the linear fitting slope is 0.965 between the population estimate and the population census.In addition,the precision of the population estimate is improved significantly by using the spatialization method based on residential buildings reclassification.
【Fund】: 国家科技支撑计划项目(2012BAH28B03)
【CateGory Index】: C924.24;P208
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