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Analysis on the concentration and decentralization of population in Lanzhou-Xining Cities Region based on the regional density functions

机译:基于区域密度函数的兰西地区城市人口集中度与分散度分析

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The exploratory spatial data analysis is used to examine the population distribution characteristics of thirty-five countries in Lanzhou-Xining Cities Region, and three high population density centers are found. To make sure which regional density function is more appropriate for Lanzhou-Xining Cities Region, the gravity-based model is used to delineate the radiation scope of these three high population density centers and then the square-root negative exponential density function shows the precedence over the others. Since the monocentric regional density function has limits in multicentric regions, such as Lanzhou-Xining Cities Region, the function based on the square-root negative exponential is used to examine the characteristic and the development trends of concentration and decentralization of population. Compared with the result of monocentric and polycentric functions, it shows the polycentric function is more appropriate in detecting the trend of population movement. And there are two different types of concentration and decentralization of population, where the different levels of population density center display different characteristics, namely, the concentration type, and the dispersion type through weaken center.
机译:探索性空间数据分析被用于检验兰州-西宁市地区的35个国家的人口分布特征,发现了三个高人口密度中心。为了确定哪种区域密度函数更适合兰州-西宁城市地区,使用基于重力的模型来描述这三个高人口密度中心的辐射范围,然后平方根负指数密度函数显示出比其他。由于单中心区域密度函数在多中心区域(例如兰州-西宁城市区域)具有局限性,因此使用基于平方根负指数的函数来检验人口集中和分散的特征和发展趋势。与单中心函数和多中心函数的结果相比,它表明多中心函数更适合于检测人口移动趋势。人口的集中和分散有两种不同的类型,其中不同级别的人口密度中心表现出不同的特征,即集中型和弱化中心的分散型。

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