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Spatial Microsimulation×Cellular Automata Urban Model×
分野Human GeographyHuman Geography
系統Process / pipelineProcess / pipeline
提唱年20161993
提唱者Developed in the IPF/microsimulation tradition; synthesized for geography by Lovelace & DumontRoger White & Guy Engelen
種類Method for generating and analysing synthetic individual-level populations within small areasSpatially explicit simulation of urban land-use change on a cell grid
原典Lovelace, R., & Dumont, M. (2016). Spatial Microsimulation with R. Chapman and Hall/CRC, Boca Raton. ISBN: 9781498711548White, 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 ↗
別名Small-Area Population Synthesis, Synthetic Population Generation, Geographical Microsimulation, Spatial Microdata EstimationUrban Cellular Automata, CA Urban Growth Model, Constrained Cellular Automata, White-Engelen CA Model
関連44
概要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.
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ScholarGate手法を比較: Spatial Microsimulation · Cellular Automata Urban Model. 2026-06-24に以下より取得 https://scholargate.app/ja/compare