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Modelling residential segregation as unevenness and clustering: A multilevel modelling approach incorporating spatial dependence and tackling the MAUP

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  • Kelvyn Jones
  • David Manley
  • Ron Johnston
  • Dewi Owen

Abstract

Traditional studies of residential segregation use a descriptive index approach with predefined spatial units to report the degree of neighbourhood differentiation. We develop a model-based approach which explicitly includes spatial effects at multiple scales, recognising the complexity of the urban environment while simultaneously distinguishing segregation at each scale net of all other scales. Moreover, this model distinguishes segregation as unevenness and as spatial clustering in the presence of stochastic variation. The modelling approach, unlike traditional index approaches, allows hypothesis evaluation concerning alternative scales and zonation through an accompanying badness-of-fit measure. Ultimately, this permits the identification of the scale and zonation regime where the spatial patterns come into focus thereby directly tackling the modifiable areal unit problem. The model is applied to Indian ethnicity in Leicester, UK, finding segregation as unevenness and as spatial clustering at multiple scales.

Suggested Citation

  • Kelvyn Jones & David Manley & Ron Johnston & Dewi Owen, 2018. "Modelling residential segregation as unevenness and clustering: A multilevel modelling approach incorporating spatial dependence and tackling the MAUP," Environment and Planning B, , vol. 45(6), pages 1122-1141, November.
    • Handle: RePEc:sae:envirb:v:45:y:2018:i:6:p:1122-1141
    DOI: 10.1177/2399808318782703
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    References listed on IDEAS

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    Cited by:

    1. Alexis Comber & Paul Harris, 2022. "The Importance of Scale and the MAUP for Robust Ecosystem Service Evaluations and Landscape Decisions," Land, MDPI, vol. 11(3), pages 1-17, March.
    2. Stepinski, Tomasz & Dmowska, Anna, 2019. "Imperfect melting pot – analysis of changes in diversity and segregation of US urban census tracts in the period of 1990-2010," SocArXiv uqj8x, Center for Open Science.
    3. Matthew Quick & Nick Revington, 2022. "Exploring the global and local patterns of income segregation in Toronto, Canada: A multilevel multigroup modeling approach," Environment and Planning B, , vol. 49(2), pages 637-653, February.
    4. Samuel H Langton & Reka Solymosi, 2021. "Cartograms, hexograms and regular grids: Minimising misrepresentation in spatial data visualisations," Environment and Planning B, , vol. 48(2), pages 348-357, February.

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