Segregation through the multiscalar lens

Madalina Olteanu (), Julien Randon-Furling and William A. V. Clark
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Madalina Olteanu: Statistique, Analyse et Modélisation Multidisciplinaire, Université Paris 1 Panthéon Sorbonne, 75013 Paris, France; Unité de Recherche Mathématiques et Informatique Appliquées du Génome à l’Environnement, Institut National de la Recherche Agronomique, 78352 Jouy-en-Josas, France
Julien Randon-Furling: Statistique, Analyse et Modélisation Multidisciplinaire, Université Paris 1 Panthéon Sorbonne, 75013 Paris, France
William A. V. Clark: Department of Geography, University of California, Los Angeles, CA 90095

Proceedings of the National Academy of Sciences, 2019, vol. 116, issue 25, 12250-12254

Abstract: We introduce a mathematical framework that allows one to carry out multiscalar and multigroup spatial exploratory analysis across urban regions. By producing coefficients that integrate information across all scales and that are normalized with respect to theoretical maximally segregated configurations, this framework provides a practical and powerful tool for the comparative empirical analysis of urban segregation. We illustrate our method with a study of ethnic mixing in the Los Angeles metropolitan area.

Keywords: segregation; spatial statistics; multiscalar analysis (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:nas:journl:v:116:y:2019:p:12250-12254

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