广东省地形起伏特征与人口和经济的关系研究

The Relief Characteristics of Guangdong Province and Its Impact on Population and Economy

  • 摘要: 为了探讨地形条件对广东省人口分布和经济发展的影响,运用均值变点分析法进行最佳计算单元的计算分析,提取广东省地形起伏度;利用土地利用/覆被数据进行人口和经济空间化建模,生成人口和经济密度图;在系统分析地形起伏度、人口密度、经济密度空间分布规律的基础上,借助于统计分析方法定量揭示广东省地形起伏度与人口、经济的空间关系。结果表明:(1)广东省地形起伏度总体呈北高南低、东高西低的空间格局,其空间分布与海拔、坡度2个地形因子呈较强正相关,地形起伏度区域面积占比呈现较强的地形梯度效应。(2)采用自然间断点法划分人口稀疏区与密集区,进行土地利用/覆被数据的人口空间化建模,其模拟精度更高。(3)与其他地形因子相比,地形起伏度对人口、经济的影响更强,与人口密度、经济密度均呈显著的负相关关系,且对经济密度的影响更大。(4)人口和经济均呈现向地形起伏度低值区集聚的现象,经济发展的空间集聚效应更强。

     

    Abstract: Topographic relief can be the main constraining factor for the population and economic development in an area, and also the main index to evaluate the suitability of human settlement and the carrying capacity of natural resources. Based on the optimal statistical unit as determined by the mean turning-point analysis method, a DEM of 200 m resolution was used to extract the relief degree of land surface(RDLS) of Guangdong Province. Using the land use/cover data, the spatial modeling of population and economy was carried out to generate population and economic density maps. Then, by means of multi-data correlation analysis method, the spatial distribution rules of topographic relief, population and economic density were systematically analyzed. Finally, the spatial relationship between topographic relief and population and economy in Guangdong Province is deeply discussed. The results showed that: (1) The overall spatial pattern of the relief degree of land surface (RDLS) in Guangdong Province is strongly positively correlated with the elevation and slope, and is generally high in the north and low in the south, higher in the east and lower in the west, the RDLS area proportion shows a strong topographic gradient effect. (2) The natural discontinuities were used to divide the sparse population areas and the dense population areas, and the population spatial modeling of land use/cover data was carried out, which has higher simulation accuracy. (3) Among all kinds of topographic factors, the RDLS has a greater impact on the distribution pattern of population and economy, showing a significant negative correlation, and the impact of topographic relief on economic density is stronger than that of population density. (4) The agglomeration phenomenon of the population and economy tends to the lower RDLS area, moreover, the spatial agglomeration effect of economic development is stronger.

     

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