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Population patterns in World’s administrative units

机译:世界各行政单位的人口格局

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摘要

Whereas there has been an extended discussion concerning city population distribution, little has been said about that of administrative divisions. In this work, we investigate the population distribution of second-level administrative units of 150 countries and territories and propose the discrete generalized beta distribution (DGBD) rank-size function to describe the data. After testing the balance between the goodness of fit and number of parameters of this function compared with a power law, which is the most common model for city population, the DGBD is a good statistical model for 96% of our datasets and preferred over a power law in almost every case. Moreover, the DGBD is preferred over a power law for fitting country population data, which can be seen as the zeroth-level administrative unit. We present a computational toy model to simulate the formation of administrative divisions in one dimension and give numerical evidence that the DGBD arises from a particular case of this model. This model, along with the fitting of the DGBD, proves adequate in reproducing and describing local unit evolution and its effect on the population distribution.
机译:尽管关于城市人口分布的讨论已经展开,但是关于行政区划的讨论却很少。在这项工作中,我们调查了150个国家和地区的二级行政单位的人口分布,并提出了离散的广义beta分布(DGBD)秩大小函数来描述数据。在与幂律(城市人口最常用的模型)进行比较之后,测试了该函数的拟合优度和参数数量之间的平衡,DGBD是针对我们96%的数据集的良好统计模型,优于幂次方几乎所有情况下的法律。此外,与国家法律相比,DGBD更适合拟合国家人口数据,可以将其视为零级行政单位。我们提出了一种计算玩具模型来模拟一维行政区划的形成,并提供了数字证据,表明DGBD源自该模型的特定情况。该模型与DGBD的拟合证明足以再现和描述局部单位的演化及其对人口分布的影响。

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