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Classifying settlement types from multi-scale spatial patterns of building footprints

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Listed:
  • Warren C Jochem
  • Douglas R Leasure
  • Oliver Pannell
  • Heather R Chamberlain
  • Patricia Jones
  • Andrew J Tatem

Abstract

Urban settlements and urbanised populations continue to grow rapidly and much of this transition is occurring in less developed countries. Remote sensing techniques are now often applied to monitor urbanisation and changes in settlement patterns. In particular, increasing availability of very high resolution imagery (

Suggested Citation

  • Warren C Jochem & Douglas R Leasure & Oliver Pannell & Heather R Chamberlain & Patricia Jones & Andrew J Tatem, 2021. "Classifying settlement types from multi-scale spatial patterns of building footprints," Environment and Planning B, , vol. 48(5), pages 1161-1179, June.
    • Handle: RePEc:sae:envirb:v:48:y:2021:i:5:p:1161-1179
    DOI: 10.1177/2399808320921208
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    References listed on IDEAS

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    6. Christian Hennig, 2010. "Methods for merging Gaussian mixture components," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 4(1), pages 3-34, April.
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    Cited by:

    1. Abhilash Bandam & Eedris Busari & Chloi Syranidou & Jochen Linssen & Detlef Stolten, 2022. "Classification of Building Types in Germany: A Data-Driven Modeling Approach," Data, MDPI, vol. 7(4), pages 1-23, April.
    2. Tengfei Yu & Birgit S Sützl & Maarten van Reeuwijk, 2023. "Urban neighbourhood classification and multi-scale heterogeneity analysis of Greater London," Environment and Planning B, , vol. 50(6), pages 1534-1558, July.
    3. Abdon Dantas & David Banh & Philip Heywood & Miguel Amado, 2021. "Decoding Emergency Settlement through Quantitative Analysis," Sustainability, MDPI, vol. 13(24), pages 1-20, December.

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