IDEAS home Printed from https://ideas.repec.org/a/nas/journl/v116y2019p12250-12254.html
   My bibliography  Save this article

Segregation through the multiscalar lens

Author

Listed:
  • 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)

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.

Suggested Citation

  • Madalina Olteanu & Julien Randon-Furling & William A. V. Clark, 2019. "Segregation through the multiscalar lens," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(25), pages 12250-12254, June.
    • Handle: RePEc:nas:journl:v:116:y:2019:p:12250-12254
    as

    Download full text from publisher

    File URL: http://www.pnas.org/content/116/25/12250.full
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bharathi, Naveen & Malghan, Deepak & Mishra, Sumit & Rahman, Andaleeb, 2021. "Fractal urbanism: City size and residential segregation in India," World Development, Elsevier, vol. 141(C).
    2. Stefano Guarino & Enrico Mastrostefano & Massimo Bernaschi & Alessandro Celestini & Marco Cianfriglia & Davide Torre & Lena Rebecca Zastrow, 2021. "Inferring Urban Social Networks from Publicly Available Data," Future Internet, MDPI, vol. 13(5), pages 1-45, April.
    3. David C. Maré & Jacques Poot, 2019. "Commuting to diversity," Working Papers 19_20, Motu Economic and Public Policy Research.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nas:journl:v:116:y:2019:p:12250-12254. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eric Cain (email available below). General contact details of provider: http://www.pnas.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.