Dossier de preuve de méthode

Spatial Microsimulation

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.

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Spatial Microsimulation (Small-Area Population Synthesis)

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

Lovelace, R., & Dumont, M. (2016). Spatial Microsimulation with R. Chapman and Hall/CRC, Boca Raton. · ISBN 9781498711548

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Méthodes apparentées

Généré à partir du graphe de méthodes et présenté comme des relations suggérées par la machine — aucune revendication de preuve n'est déduite.

Same method familyCellular Automata Urban Modelmachine-suggested · Relational suggestion, not evidence.Same method familyGeodemographic Classificationmachine-suggested · Relational suggestion, not evidence.Same method familyLand-Use Change Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyMicrosimulationmachine-suggested · Relational suggestion, not evidence.