Modelling transitions in sealed surface cover fraction with Quantitative State Cellular Automata

Onderzoeksoutput: Articlepeer review

1 Citaat (Scopus)
137 Downloads (Pure)


Cellular Automata (CA) applications simulating urban processes generally employ discrete land-use classes to characterise the physical environment. Yet there is an increasing demand for urban land cover models simulating quantitative change at the sub-cell level. The proposed Quantitative State Cellular Automata model (QCA) addresses this issue by relaxing part of the CA definition and considering real-valued quantitative cell states reflecting a physically meaningful measure. QCA entails two components of change: transition potential and quantity of change. The potential component addresses the likelihood of any change occurring in a cell, whereas the quantity component estimates the magnitude of change. The QCA concept is illustrated for Sealed Surface Density (SSD) transitions in Brussels and part of Flanders (Belgium). A Mutual Information (MI) approach is used to define the neighbourhood interaction framework. The QCA model is respectively calibrated and validated using Landsat-derived 1987–2001 and 2001–2013 SSD change on 30 m resolution. The results show that QCA successfully emulates spatial patterns of urban development, and significantly outperforms a random model in terms of quantitative and spatial distribution of SSD change. Further improvements can be achieved by explicitly integrating socio-economic information in the proposed workflow.
Originele taal-2English
Pagina's (van-tot)1-12
Aantal pagina's12
TijdschriftLandscape and Urban Planning
StatusPublished - jul 2021

Bibliografische nota

Funding Information:
The research presented in this paper is funded by BELSPO (Belgian Science Policy Office) in the frame of the STEREO III programme – project URBANEARS (SR/00/307).

Publisher Copyright:
© 2021 The Authors

Copyright 2022 Elsevier B.V., All rights reserved.


Duik in de onderzoeksthema's van 'Modelling transitions in sealed surface cover fraction with Quantitative State Cellular Automata'. Samen vormen ze een unieke vingerafdruk.

Citeer dit