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

被引:1
作者
Benassi, Federico [1 ]
Mucciardi, Massimo [2 ]
Pirrotta, Giovanni [3 ]
机构
[1] Univ Naples Federico II, Dept Polit Sci, Via L Rodino 22, I-80138 Naples, Italy
[2] Univ Messina, Dept Cognit Sci Educ & Cultural Studies, Messina, Italy
[3] Univ Messina, Messina, Italy
关键词
Spatial concentration; Gini index; constant step; maxmin distance; Italy; SEGREGATION; PATTERN; GROWTH; TRENDS;
D O I
10.2478/jos-2023-0014
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
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.
引用
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页码:285 / 324
页数:40
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