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A GIS-Based Irregular Cellular Automata Model of Land-Use Change

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  • Daniel Stevens
  • Suzana Dragićević

Abstract

This study proposes an alternative cellular automata (CA) model, which relaxes the traditional CA regular square grid and synchronous growth, and is designed for representations of land-use change in rural-urban fringe settings. The model uses high-resolution spatial data in the form of irregularly sized and shaped land parcels, and incorporates synchronous and asynchronous development in order to model more realistically land-use change at the land parcel scale. The model allows urban planners and other stakeholders to evaluate how different subdivision designs will influence development under varying population growth rates and buyer preferences. A model prototype has been developed in a common desktop GIS and applied to a rapidly developing area of a midsized Canadian city.

Suggested Citation

  • Daniel Stevens & Suzana Dragićević, 2007. "A GIS-Based Irregular Cellular Automata Model of Land-Use Change," Environment and Planning B, , vol. 34(4), pages 708-724, August.
    • Handle: RePEc:sae:envirb:v:34:y:2007:i:4:p:708-724
    DOI: 10.1068/b32098
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    References listed on IDEAS

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    1. Kate Moore, 2000. "Resel filtering to aid visualisation within an exploratory data analysis system," Journal of Geographical Systems, Springer, vol. 2(4), pages 375-398, December.
    2. Andreas Flache & Rainer Hegselmann, 2001. "Do Irregular Grids Make a Difference? Relaxing the Spatial Regularity Assumption in Cellular Models of Social Dynamics," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(4), pages 1-6.
    3. Landis, John D., 1994. "The California Urban Futures Model: A New Generation of Metropolitan Simulation Models," University of California Transportation Center, Working Papers qt9pb6g3g6, University of California Transportation Center.
    4. Shivanand Balram & Suzana Dragicevic & Thomas Meredith, 2003. "Achieving Effectiveness in Stakeholder Participation Using the GIS-Based Collaborative Spatial Delphi Methodology," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 365-394.
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    Cited by:

    1. Praba, B. & Saranya, R., 2020. "Application of the graph cellular automaton in generating languages," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 168(C), pages 111-121.
    2. Wickramasuriya, Rohan Chandralal & Bregt, Arnold K. & van Delden, Hedwig & Hagen-Zanker, Alex, 2009. "The dynamics of shifting cultivation captured in an extended Constrained Cellular Automata land use model," Ecological Modelling, Elsevier, vol. 220(18), pages 2302-2309.
    3. Cong Cao & Suzana Dragićević & Songnian Li, 2019. "Short-Term Forecasting of Land Use Change Using Recurrent Neural Network Models," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    4. Ying Long & Kang Wu, 2017. "Simulating Block-Level Urban Expansion for National Wide Cities," Sustainability, MDPI, vol. 9(6), pages 1-19, May.

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