Módszerek összehasonlítása

	Spatial Microsimulation	Cellular Automata Urban Model
Tudományterület	Human Geography	Human Geography
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	2016	1993
Megalkotó	Developed in the IPF/microsimulation tradition; synthesized for geography by Lovelace & Dumont	Roger White & Guy Engelen
Típus	Method for generating and analysing synthetic individual-level populations within small areas	Spatially explicit simulation of urban land-use change on a cell grid
Alapmű	Lovelace, R., & Dumont, M. (2016). Spatial Microsimulation with R. Chapman and Hall/CRC, Boca Raton. ISBN: 9781498711548	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.
Alternatív nevek	Small-Area Population Synthesis, Synthetic Population Generation, Geographical Microsimulation, Spatial Microdata Estimation	Urban Cellular Automata, CA Urban Growth Model, Constrained Cellular Automata, White-Engelen CA Model
Kapcsolódó	4	4
Összefoglaló	Spatial microsimulation is a family of techniques for generating realistic synthetic populations of individuals within small geographic areas, by combining detailed but geographically coarse survey microdata with geographically fine but aggregate census tables. It estimates, for every neighbourhood, a population of individuals whose collective characteristics match the published margins — the right number of each age, sex, income, and tenure group — even though no survey directly samples individuals at that fine scale. Synthesized for the geographic community in Robin Lovelace and Morgane Dumont's 2016 book, it bridges the gap between rich individual data and small-area aggregates so that policy and behaviour can be modelled where people actually live.	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.