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

Author

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

    as
    1. Scrucca, Luca, 2016. "Identifying connected components in Gaussian finite mixture models for clustering," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 5-17.
    2. Chris Fraley & Adrian E. Raftery, 2003. "Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST," Journal of Classification, Springer;The Classification Society, vol. 20(2), pages 263-286, September.
    3. Ron Wehrens & Lutgarde M.C. Buydens & Chris Fraley & Adrian E. Raftery, 2004. "Model-Based Clustering for Image Segmentation and Large Datasets via Sampling," Journal of Classification, Springer;The Classification Society, vol. 21(2), pages 231-253, September.
    4. repec:nas:journl:v:115:y:2018:p:3529-3537 is not listed on IDEAS
    5. Paul D. McNicholas, 2016. "Model-Based Clustering," Journal of Classification, Springer;The Classification Society, vol. 33(3), pages 331-373, October.
    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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    Citations

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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. Abdon Dantas & David Banh & Philip Heywood & Miguel Amado, 2021. "Decoding Emergency Settlement through Quantitative Analysis," Sustainability, MDPI, vol. 13(24), pages 1-20, December.
    3. 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.

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