<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Department of Cognitive Science, Education and Cultural Studies

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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...

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

Online veröffentlicht: 07. Sept. 2023

Seitenbereich: 285 - 324

Eingereicht: 01. Juni 2022

Akzeptiert: 01. Jan. 2023

DOI: https://doi.org/10.2478/jos-2023-0014

Schlüsselwörter
Spatial concentration, Gini index, constant step, maxmin distance, Italy

© 2023 Federico Benassi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Online veröffentlicht: 07. Sept. 2023

Seitenbereich: 285 - 324

Eingereicht: 01. Juni 2022

Akzeptiert: 01. Jan. 2023

DOI: https://doi.org/10.2478/jos-2023-0014

SchlüsselwörterSpatial concentration, Gini index, constant step, maxmin distance, Italy

© 2023 Federico Benassi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Spatial concentration, Gini index, constant step, maxmin distance, Italy