Simulation of Changes of The Warsaw Urban Area 1969-2023 (Application of Cellular Automata)

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It is possible to make analyses within the field of GIS applying cellular automata. One of the purposes of socio-economic geography is indirect understanding of the phenomenon by analyzing spatial patterns and inferring spatio-temporal processes looking rather for local hotspots. The cellular automata are the tool both for spatio-temporal inferring based on local conditions and data visualization. The evidence is the case study of spatial simulation of Warsaw Urban Area (Poland).

The author verifies the hypothesis that the present layout and extent of the Warsaw agglomeration determines further directions of the city’s spatial development. To this end, he employs a method based on cellular automata theory.

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  • Foteringham A.S Brundson C. Charlton M. 2000 Quantitative Geography. Perspectives on Spatial Data Analysis Sage Publications London Thousand Oaks New Delhi.

  • Fulong Wu 1999 GIS-based simulation as an exploratory analysis for space-time processes Journal of Geographical Systems Springer Verlag vol 1 pp. 199-218.

  • Ratajczak W. 1999 Modelowanie sieci transportowych [Modeling of transport network] Wydawnictwo Naukowe UAM Poznań.

  • Takeyma M. Couclelis H. 1997 Map dynamics integrating cellular automata and GIS through Geo-Algebra Int. J. Geographical Information Science Taylor & Francis vol 11 No 1 73-91.

  • Uhorczak F. 1969 Polska przeglądowa mapa użytkowania ziemi [Land use map of Poland] Prace Geogr. nr 17 PWN Warszawa.

  • Wolfram S. 1982 Cellular Automata as Simple Self-Organizing Systems (1982) Caltech preprint CALT-68-938.

  • Wolfram S. 2002 A New Kind of Science Wolfram Media Inc. Champaign.

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