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Space, Time, and Dynamics Modeling in Historical GIS Databases: A Fuzzy Logic Approach

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  • Suzana Dragicevic

    (Department of Geography, McGill University, 805 Sherbrooke Street W, Burnside Hall, Montreal, Quebec H3A 2K6, Canada)

  • Danielle J Marceau
  • Claude Marois

Abstract

In this paper, a spatiotemporal interpolation approach for GIS modeling of urban growth dynamics is proposed. It is based on fuzzy logic theory using three different scenarios for temporal simulation, and two techniques for spatial simulation of urban change patterns. The notion of stages in the urban growth is taken into consideration as well as variables describing the speed and the mechanism of change. The simulation results are presented for three study sites from the north shore of the Montreal metropolitan area in Quebec, Canada, covering the period from 1956 to 1986. By comparing the simulation results with aerial photographs of the study area taken in 1958, 1971, 1975, and 1982, the proposed modeling approach is validated. The potential of this approach as a visualization technique is also discussed.

Suggested Citation

  • Suzana Dragicevic & Danielle J Marceau & Claude Marois, 2001. "Space, Time, and Dynamics Modeling in Historical GIS Databases: A Fuzzy Logic Approach," Environment and Planning B, , vol. 28(4), pages 545-562, August.
    • Handle: RePEc:sae:envirb:v:28:y:2001:i:4:p:545-562
    DOI: 10.1068/b2567
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    References listed on IDEAS

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    1. 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.
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