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Cellular automata as the basis of integrated dynamic regional modelling

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  • R White
  • G Engelen
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    Abstract

    We present an integrated model of regional spatial dynamics consisting of a cellular automaton-based model of land use linked both to a geographic information system (GIS) and to standard nonspatial models of regional economics and demographics, as well as to a simple model of environmental change. The operation of the model is illustrated with an application to the island of St Lucia developed for the purpose of providing insights into the possible socioeconomic consequences for the island of global climate change. On the basis of results from this and other applications of the model, we conclude that cellular automata not only permit a detailed modelling and realistic prediction of land-use patterns, but they also provide a means of introducing the effects of spatially localized environmental factors, as represented in the GIS, into the operation of standard economic and demographic models, which are otherwise unconstrained.

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    Bibliographic Info

    Article provided by Pion Ltd, London in its journal Environment and Planning B: Planning and Design.

    Volume (Year): 24 (1997)
    Issue (Month): 2 (March)
    Pages: 235-246

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    Handle: RePEc:pio:envirb:v:24:y:1997:i:2:p:235-246

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    Web page: http://www.pion.co.uk

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    Cited by:
    1. Hubacek, Klaus & van den Bergh, Jeroen C.J.M., 2006. "Changing concepts of 'land' in economic theory: From single to multi-disciplinary approaches," Ecological Economics, Elsevier, vol. 56(1), pages 5-27, January.
    2. Geoffrey Caruso & Dominique Peeters & Jean Cavailhes & Mark Rounsevell, 2007. "Spatial configuration in a periurban city. A cellular automata-based microeconomic model," Working Papers 25364, Institut National de la Recherche Agronomique, France.
    3. Caruso, Geoffrey & Peeters, Dominique & Cavailhes, Jean & Rounsevell, Mark, 2007. "Spatial configurations in a periurban city. A cellular automata-based microeconomic model," Regional Science and Urban Economics, Elsevier, vol. 37(5), pages 542-567, September.
    4. Torrens, Paul M., 2001. "New Tools for Simulating Housing Choices," Berkeley Program on Housing and Urban Policy, Working Paper Series qt6qs0w2w1, Berkeley Program on Housing and Urban Policy.
    5. Caroline Bayr & Miriam Steurer & Rose-Gerd Koboltschnig, 2013. "Scenario Planning for Cities using Cellular Automata Models: A Case Study," Graz Economics Papers 2013-06, University of Graz, Department of Economics.

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