Dossier de preuve de méthode

Cellular Automata Urban Model

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.

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Cellular Automata Urban Model (Constrained CA Land-Use Simulation)

Dossier de méthode taxonomique · process-pipeline / human-geography

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 10.1068/a251175
Batty, M. (2005). Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. MIT Press, Cambridge, MA. · ISBN 9780262025836

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Méthodes apparentées

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Same method familyCellular Automatamachine-suggested · Relational suggestion, not evidence.Same method familyLand-Use Change Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyMarkov Land-Use Modelmachine-suggested · Relational suggestion, not evidence.Same method familySpatial Microsimulationmachine-suggested · Relational suggestion, not evidence.