Applicability and calibration of an irregular cellular automata model for land use change

Nuno Pinto, António Antunes, Josep Roca

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Abstract

Cellular automata (CA) models of spatial change have been developed and applied in the context of large regional or metropolitan areas and usually use regular cells, with spatial interactions and transition rules operating within fixed-size neighbourhoods. Model calibration has also been an area of intensive research with many models still using expert-based input to ensure visual calibration of modelled land use maps. In this paper, we present an innovative CA model where irregular cells and variable neighbourhoods are used to better represent space and spatial interaction. Calibration is based on an optimisation procedure that uses particle swarm (PS) to determine the optimal set of parameters of the CA model. Hypothetical test instances are used to assess the CA model and its calibration to small urban areas. Our conclusion was that the use of PS ensures calibration results for the CA model that compare very well with results obtained through other approaches reported in the literature.
Original languageEnglish
Pages (from-to)93-102
Number of pages10
JournalComputers, Environment and Urban Systems
Volume65
Early online date15 Jun 2017
DOIs
Publication statusPublished - Sept 2017

Keywords

  • cellular automata,
  • irregular cells
  • land use change
  • particle swarm
  • calibration

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