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From urban segregation to spatial structure detection

Author

Listed:
  • Julien Randon-Furling
  • Madalina Olteanu
  • Antoine Lucquiaud

Abstract

We develop a ‘multifocal’ approach to reveal spatial dissimilarities in cities, from the most local scale to the metropolitan one. Think, for instance, of a statistical variable that may be measured at different scales, e.g. ethnic group proportions, social housing rate, income distribution, or public transportation network density. Then, to any point in the city there corresponds a sequence of values for the variable, as one zooms out around the starting point, all the way up to the whole city – as if with a varifocal camera lens. The sequences thus produced encode spatial dissimilarities in a precise manner: how much they differ from perfectly random sequences is indeed a signature of the underlying spatial structure. We introduce here a mathematical framework that allows to analyse this signature, and we provide a number of illustrative examples.

Suggested Citation

  • Julien Randon-Furling & Madalina Olteanu & Antoine Lucquiaud, 2020. "From urban segregation to spatial structure detection," Environment and Planning B, , vol. 47(4), pages 645-661, May.
    • Handle: RePEc:sae:envirb:v:47:y:2020:i:4:p:645-661
    DOI: 10.1177/2399808318797129
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    References listed on IDEAS

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    1. Fabio Busetti, 2017. "Quantile Aggregation of Density Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 495-512, August.
    2. Stoker, Thomas M, 1984. "Completeness, Distribution Restrictions, and the Form of Aggregate Functions," Econometrica, Econometric Society, vol. 52(4), pages 887-907, July.
    3. George Leckie & Harvey Goldstein, 2015. "A multilevel modelling approach to measuring changing patterns of ethnic composition and segregation among London secondary schools, 2001–2010," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(2), pages 405-424, February.
    4. Rémi Louf & Marc Barthelemy, 2016. "Patterns of Residential Segregation," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-20, June.
    5. Kelvyn Jones & Ron Johnston & David Manley & Dewi Owen & Chris Charlton, 2015. "Ethnic Residential Segregation: A Multilevel, Multigroup, Multiscale Approach Exemplified by London in 2011," Demography, Springer;Population Association of America (PAA), vol. 52(6), pages 1995-2019, December.
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