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	Natural Environment Suitability of China and Its Relationship with Population Distributions
	Yang X. H. ; Ma H. Q.
	2009
关键词	natural environment population GDP spatial distribution GIS NESI ecological land classification quantitative approach regions gis
英文摘要	The natural environment factor is one of the main indexes for evaluating human habitats, sustained economic growth and ecological health status. Based on Geographic Information System (GIS) technology and an analytic hierarchy process method, this article presents the construction of the Natural Environment Suitability Index (NESI) model of China by using natural environment data including climate, hydrology, surface configuration and ecological conditions. The NESI value is calculated in grids of 1 km by 1 km through ArcGIS. The spatial regularity of NESI is analyzed according to its spatial distribution and proportional structure. The relationship of NESI with population distribution and economic growth is also discussed by analyzing NESI results with population distribution data and GDP data in 1 km by 1 km grids. The study shows that: (1) the value of NESI is higher in the East and lower in the West in China; The best natural environment area is the Yangtze River Delta region and the worst are the northwest of Tibet and southwest of Xinjiang. (2) There is a close correlation among natural environment, population distribution and economic growth; the best natural environment area, the Yangtze River Delta region, is also the region with higher population density and richer economy. The worst natural environment areas, Northwest and Tibetan Plateau, are also regions with lower population density and poorer economies.
出处	International Journal of Environmental Research and Public Health
卷	6
期	12
页	3025-3039
收录类别	SCI
语种	英语
ISSN号	1660-4601
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/22576]
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	Yang X. H.,Ma H. Q.. Natural Environment Suitability of China and Its Relationship with Population Distributions. 2009.

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