GIS-based simulation as an exploratory analysis for space-time processes |
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Authors: | Fulong Wu |
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Institution: | (1) Department of Geography, University of Southampton Highfield, Southampton SO17 1BJ, UK (e-mail: f.wu@soton.ac.uk), GB |
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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.
Received: 2 July 1997/Accepted: 19 November 1998 |
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Keywords: | : Simulation cellular automata complex space-time processes dynamic modelling |
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