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Land use change simulation and analysis using a vector cellular automata (CA) model: A case study of Ipswich City, Queensland, Australia

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  • Yi Lu

    (University of New South Wales, Australia)

  • Shawn Laffan

    (University of New South Wales, Australia)

  • Chris Pettit

    (University of New South Wales, Australia)

  • Min Cao

Abstract

The loss of accuracy in vector-raster conversion has always been an issue for land use change models, particularly for raster based Cellular Automata models. Here we describe a vector-based cellular automata (CA) model that uses land parcels as the basic unit of analysis, and compare its results with a raster CA model. Transition rules are calibrated using an artificial neural network (ANN) and historical land use data. Using Ipswich City in Queensland, Australia as the study area, the simulation results show that the vector and raster CA models achieve 96.64% and 93.88% producer’s spatial accuracy, respectively. In addition, the vector CA model achieves a higher kappa coefficient and more consistent frequency of misclassification, while also having faster processing times. Consequently, the vector-based CA model can be applied to explore regulations of land use transformation in urban growth process, and provide a better understanding of likely urban growth to inform city planners.

Suggested Citation

  • Yi Lu & Shawn Laffan & Chris Pettit & Min Cao, 2020. "Land use change simulation and analysis using a vector cellular automata (CA) model: A case study of Ipswich City, Queensland, Australia," Environment and Planning B, , vol. 47(9), pages 1605-1621, November.
    • Handle: RePEc:sae:envirb:v:47:y:2020:i:9:p:1605-1621
    DOI: 10.1177/2399808319830971
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    References listed on IDEAS

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    Cited by:

    1. Svitlana Pyrohova & Jiafei Hu & Jonathan Corcoran, 2023. "Urban land use transitions: Examining change over 19 years using sequence analysis. The case of South-East Queensland, Australia," Environment and Planning B, , vol. 50(9), pages 2579-2593, November.
    2. Ayazli, Ismail Ercument, 2024. "Investigating the interactions between spatiotemporal land use/land cover dynamics and private land ownership," Land Use Policy, Elsevier, vol. 141(C).

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