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Spatial distribution regularity and influence factors of population density in the LRGR

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Chinese Science Bulletin

Abstract

Combining GIS measures and statistic methods, this paper selects the physiographic factors and climatic factors to study the influencing strength and its functional forms of all factors on population density in the LRGR. In addition, this paper simulates the status of population density distribution in the LRGR with the factors influencing the population density distribution. The findings indicate the following circumstances: (1) All natural factors have influence on the spatial pattern of population density in the LRGR, but the influencing extent and forms are quite different. Physiographic factors and traffic network density have great influence on population density, while such factors as temperature and precipitation have little influence on population distribution. The relationship between the population density and the altitude and traffic network density assumes the negative and positive linear correlation trends, while the influence of water system density and slope appears to be the exponential function and logarithmic function separately. (2) The population is scattered throughout LRGR and takes on such features as integral scattering and local concentration because of the influence of natural conditions. Thus, a high population density belt has been formed in the middle of LRGR, and a high population density patch comes into being in the south of LRGR. (3) There is a good linear regression relationship between population density and human activity index (HAI) in the LRGR, which reflects that population density can present the artificial disturbance on natural ecosystem in the LRGR. (4) The increase of population density leads to the decrease of NDVI index.

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Correspondence to Li ZhengHai.

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Supported by the National Basic Research Program of China (Grant No. 2003CB415102)

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Song, G., Li, Z., Bao, Y. et al. Spatial distribution regularity and influence factors of population density in the LRGR. Chin. Sci. Bull. 52 (Suppl 2), 90–97 (2007). https://doi.org/10.1007/s11434-007-7027-z

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  • DOI: https://doi.org/10.1007/s11434-007-7027-z

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