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

被引：2

作者：

Wu F. ^{[1
]}

机构：

[1] Department of Geography, University of Southampton Highfield

来源：

Journal of Geographical Systems | 1999年 / 1卷 / 3期

关键词：

Cellular automata; Complex space-time processes; Dynamic modelling; Simulation;

D O I：

10.1007/s101090050012

中图分类号：

学科分类号：

摘要：

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 underdeveloped. 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. © Springer-Verlag 1999.

引用

页码：199 / 218

页数：19

共 34 条

[1] Allen P.M., Cities and regions as evolutionary, complex systems, Geographical Systems, 4, pp. 103-130, (1997)
[2] Allen P.M., Sanglier M., A dynamic model of a central place system, Geographical Analysis, 13, pp. 149-165, (1981)
[3] Batty M., Couclelis H., Eichen M., Urban systems as cellular automata, Environment and Planning (B), 24, pp. 159-164, (1997)
[4] Batty M., Howes D., Exploring urban development dynamics through visualisation and animation, Innovations in GIS 3, pp. 149-161, (1996)
[5] Batty M., Kim K.S., Form follows function: Reformulating urban population density functions, Urban Studies, 29, pp. 1043-1070, (1992)
[6] Batty M., Longley P.A., Fractal Cities, (1994)
[7] Batty M., Xie Y., From cells to cities, Environment and Planning (B), 21, pp. 531-548, (1994)
[8] Batty M., Xie Y., Modelling inside GIS: Part 1. Model structures, exploratory spatial data analysis and aggregation, International Journal of Geographical Information Systems, 8, pp. 291-307, (1994)
[9] Batty M., Xie Y., Possible urban automata, Environment and Planning (B), 24, pp. 175-192, (1997)
[10] Cecchini A., Urban modelling by means of cellular automata: Generalised urban automata with the help on-line (Augh) model, Environment and Planning (B), 23, pp. 721-732, (1996)

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