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GIS-based simulation as an exploratory analysis for space-time processes

Author

Listed:
  • Fulong Wu

    (Department of Geography, University of Southampton Highfield, Southampton SO17 1BJ, UK (e-mail: f.wu@soton.ac.uk))

Abstract

. The purpose of this paper is to argue for a novel use of geographical information system (GIS) as an exploratory device for understanding complex space-time processes. Conventionally, a GIS has been configured as a spatial database management system. Therefore, the capabilities of data input, storage, retrieval, manipulation and display have been well developed, whereas the analytical and dynamic processing and modelling capabilities are under-developed. The importance of integrating GIS with dynamic and analytical models has been widely recognised. Extending the use of GIS into spatial simulation represents a plausible research direction. On the other hand, the usefulness of conventional deductive model becomes limited when dealing with complex space-time processes. In essence, the inherent complexity calls for a simulation approach. The new nonlinear modelling paradigm, for example, cellular automata (CA), opened a way in which behaviourally-richer dynamics and more micro-spatial data could be incorporated into understanding space-time processes. It is argued therefore that GIS can be used as a platform – a controlled environment or laboratory – for exploring complex space-time processes. The discussion of GIS-based simulation in this paper is illustrated with a primitive simulation of the evolution of urban spatial structure.

Suggested Citation

  • Fulong Wu, 1999. "GIS-based simulation as an exploratory analysis for space-time processes," Journal of Geographical Systems, Springer, vol. 1(3), pages 199-218, October.
    • Handle: RePEc:kap:jgeosy:v:1:y:1999:i:3:d:10.1007_s101090050012
    DOI: 10.1007/s101090050012
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    Cited by:

    1. Werner Piotr, 2006. "Simulation of Changes of The Warsaw Urban Area 1969-2023 (Application of Cellular Automata)," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 12(1), pages 329-335, December.
    2. Mohammad Vahidnia & Ali Alesheikh & Seyed Alavipanah, 2015. "A multi-agent architecture for geosimulation of moving agents," Journal of Geographical Systems, Springer, vol. 17(4), pages 353-390, October.

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