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Cellular worlds: a framework for modeling micro - macro dynamics

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  • H Couclelis
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    Abstract

    Cellular spaces have recently received a lot of attention in computer science and elsewhere as models capable of bridging the gap between disaggregate and aggregate description. Despite their obvious spatial interpretation, standard cell-space models are too constrained by their background conventions to be useful in realistic geographic applications. In this paper, a generalization of the cell-space principle is presented, based on discrete model theory, and then applied to a hypothetical but fairly complex problem of individual decision and large-scale urban change. The paper ends with a discussion of the wider import of this methodology, which has close links with, among other things, bifurcation theory, cognitive science modeling of individual decision and behavior, and other issues of actual or potential interest to geographers.

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    Bibliographic Info

    Article provided by Pion Ltd, London in its journal Environment and Planning A.

    Volume (Year): 17 (1985)
    Issue (Month): 5 (May)
    Pages: 585-596

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    Handle: RePEc:pio:envira:v:17:y:1985:i:5:p:585-596

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

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    Cited by:
    1. 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, Elsevier, vol. 37(5), pages 542-567, September.
    2. Caroline Bayr & Miriam Steurer & Rose-Gerd Koboltschnig, 2013. "Scenario Planning for Cities using Cellular Automata Models: A Case Study," Graz Economics Papers, University of Graz, Department of Economics 2013-06, University of Graz, Department of Economics.
    3. Jeroen C.J.M. van den Bergh, 2007. "Evolutionary Thinking in Environmental Economics," Tinbergen Institute Discussion Papers, Tinbergen Institute 07-018/3, Tinbergen Institute.
    4. Lizhong Hua & Lina Tang & Shenghui Cui & Kai Yin, 2014. "Simulating Urban Growth Using the SLEUTH Model in a Coastal Peri-Urban District in China," Sustainability, MDPI, Open Access Journal, vol. 6(6), pages 3899-3914, June.

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