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| Cellular Automata Urban Model× | Automaty komórkowe× | |
|---|---|---|
| Dziedzina≠ | Human Geography | Symulacja |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1993 | 1940s–1950s (formalized); 1970 (Conway's Game of Life); 2002 (Wolfram's systematic classification) |
| Twórca≠ | Roger White & Guy Engelen | John von Neumann and Stanislaw Ulam (1940s–1950s); popularized by John Conway (1970) and Stephen Wolfram (1980s–2002) |
| Typ≠ | Spatially explicit simulation of urban land-use change on a cell grid | Grid-based computational simulation model |
| Źródło pierwotne≠ | White, R., & Engelen, G. (1993). Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns. Environment and Planning A, 25(8), 1175–1199. DOI ↗ | Wolfram, S. (2002). A New Kind of Science. Wolfram Media. ISBN: 978-1579550080 |
| Inne nazwy | Urban Cellular Automata, CA Urban Growth Model, Constrained Cellular Automata, White-Engelen CA Model | CA, Hücresel Otomat (Cellular Automata), lattice model, grid-based simulation |
| Pokrewne≠ | 4 | 5 |
| Podsumowanie≠ | A cellular automata (CA) urban model simulates the growth and transformation of cities by dividing space into a grid of cells, each holding a land-use state, and letting those states evolve through local transition rules that depend on the states of neighbouring cells. Introduced for urban form by Roger White and Guy Engelen in 1993 and popularized in Michael Batty's work on cities as complex systems, the approach reproduces realistic, fractal urban patterns from simple bottom-up rules rather than top-down equations. It has become a workhorse for exploring how compact or sprawling settlement patterns emerge from neighbourhood-scale interactions under regional land demand. | Cellular automata (CA) is a grid-based computational simulation model, first formalized by John von Neumann and Stanislaw Ulam in the 1940s–1950s and brought to wide attention by John Conway's Game of Life (1970) and Stephen Wolfram's systematic classification (2002), in which a lattice of cells — each holding a finite discrete state — evolves in discrete time steps according to local neighborhood interaction rules, causing complex global patterns to emerge from simple local specifications. |
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