Looking for a New Approach to Measuring the Spatial Concentration of the Human Population

IF 0.5 4区数学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS

Journal of Official Statistics Pub Date : 2023-09-01 DOI:10.2478/jos-2023-0014

Federico Benassi, Massimo Mucciardi, Giovanni Pirrotta

引用次数: 0

Abstract

Abstract In the article a new approach for measuring the spatial concentration of human population is presented and tested. The new procedure is based on the concept of concentration introduced by Gini and, at the same time, on its spatial extension (i.e., taking into account the concept of spatial autocorrelation, polarization). The proposed indicator, the Spatial Gini Index, is then computed by using two different kind of territorial partitioning methods: MaxMin (MM) and the Constant Step (CS) distance. In this framework an ad hoc extension of the Rey and Smith decomposition method is then introduced. We apply this new approach to the Italian and foreign population resident in almost 7,900 statistical units (Italian municipalities) in 2002, 2010 and 2018. All elaborations are based on a new ad hoc library developed and implemented in Python.

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寻找一种测量人口空间集中度的新方法

摘要本文提出并测试了一种测量人口空间集中度的新方法。新程序基于基尼提出的浓度概念，同时基于其空间扩展（即，考虑到空间自相关、极化的概念）。然后，通过使用两种不同的区域划分方法：MaxMin（MM）和恒定步长（CS）距离来计算所提出的指标，即空间基尼指数。在此框架中，引入了Rey和Smith分解方法的一个特殊扩展。我们将这一新方法应用于2002年、2010年和2018年居住在近7900个统计单位（意大利城市）的意大利和外国人口。所有的阐述都是基于一个用Python开发和实现的新的特设库。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Official Statistics STATISTICS & PROBABILITY-

CiteScore

1.90

自引率

9.10%

发文量

审稿时长

>12 weeks

期刊介绍： JOS is an international quarterly published by Statistics Sweden. We publish research articles in the area of survey and statistical methodology and policy matters facing national statistical offices and other producers of statistics. The intended readers are researchers or practicians at statistical agencies or in universities and private organizations dealing with problems which concern aspects of production of official statistics.