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Characterizing Urban Expansion Processes Using Dynamic Spatial Models – a European Application (Short Paper)

Authors Alex Hagen-Zanker , Jingyan Yu , Naratip Santitissadeekorn , Susan Hughes



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Author Details

Alex Hagen-Zanker
  • School of Sustainability, Civil and Environmental Engineering, University of Surrey, UK
Jingyan Yu
  • Institute of Geography and Sustainability (IGD), Faculty of Geosciences and Environment, University of Lausanne, Switzerland
Naratip Santitissadeekorn
  • Department of Mathematics and Physics, University of Surrey, UK
Susan Hughes
  • School of Sustainability, Civil and Environmental Engineering, University of Surrey, UK

Cite AsGet BibTex

Alex Hagen-Zanker, Jingyan Yu, Naratip Santitissadeekorn, and Susan Hughes. Characterizing Urban Expansion Processes Using Dynamic Spatial Models – a European Application (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 36:1-36:6, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.GIScience.2023.36

Abstract

Characterisation of the urban expansion processes using time series of binary urban/non-urban land cover data is complex due to the need to account for the initial configuration and the rate of urban expansion over the analysed period. Failure to account for these factors makes the interpretation of landscape metrics for compactness, fragmentation, or clumpiness problematic and the comparison between geographical areas and time periods contentious. This paper presents an approach for characterisation using spatio-dynamic modelling which is data-centred using a process based model, Bayesian optimization, cluster identification, and maximum likelihood classification. An application of the approach across 652 functional urban areas in Europe (1975-2014) demonstrates the consistency of the approach and its ability to identify spatial and temporal trends in urban expansion processes.

Subject Classification

ACM Subject Classification
  • Applied computing → Environmental sciences
Keywords
  • Urban expansion
  • morphology
  • spatio-temporal dynamics
  • simulation
  • compactness

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References

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