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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州 - 西宁城市地区人口浓度及分散分析

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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用于检查兰州 - 西宁城市地区三十五个国家的人口分布特征,发现了三个高人口密度中心。为了确保哪种区域密度函数更适合兰州 - 西宁城市地区,基于重力的模型用于描绘这三个高人口密度中心的辐射范围,然后方形负指数密度函数显示优先级其他。由于单眼区域密度函数在多中心区域的限制,如兰州 - 西宁城市地区,基于平方根负数指数的功能用于检查人口浓度和分散的特征和发展趋势。与单眼和多中心功能的结果相比,它显示了多中心功能更适合检测人口运动的趋势。并且存在两种不同类型的浓度和分散化,其中不同层次的人口密度中心显示不同的特性,即浓度类型,分散型通过弱中心。

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