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	Modeling population density using land cover data
	Tian Y. Z. ; Yue T. X. ; Zhu L. F. ; Clinton N.
	2005
关键词	population density land cover distance decay model grid operational linescan system china
英文摘要	This study investigates the correlation between land cover data and other factors that affect population distribution. The results show that land cover data contain sufficient information to infer population distribution and can be used independently to model the spatial pattern of population density in China. China's population distribution model (CPDM) was developed based on land cover data to calculate population density in China at I km resolution. For cells in rural areas, population probability coefficients were calculated based on weighted linear models, the weights of land cover types being derived from multivariate regression models and on a qualitative order of land types in 12 agro-ecological zones. For cells in urban areas, a power exponential decay model based on city size and the distance from urban center was employed to calculate population probability coefficients. The models were validated in sampled cells using ancillary population data. The validation shows the mean relative error of estimated population to be 3.13 and 5.26% in rural and urban areas, respectively. Compared to existing models, the accuracy of CPDM is much higher at cell, county and province scales. (c) 2005 Elsevier B.V. All rights reserved.
出处	Ecological Modelling
卷	189
期	1-2
页	72-88
收录类别	SCI
语种	英语
ISSN号	0304-3800
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/22971]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Tian Y. Z.,Yue T. X.,Zhu L. F.,et al. Modeling population density using land cover data. 2005.

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