手法を比較

	Geodemographic Classification	Spatial Microsimulation
分野	Human Geography	Human Geography
系統	Process / pipeline	Process / pipeline
提唱年	2005	2016
提唱者	Richard Webber (and the geodemographics tradition synthesized by Harris, Sleight & Webber)	Developed in the IPF/microsimulation tradition; synthesized for geography by Lovelace & Dumont
種類	Pipeline that clusters small areas into interpretable neighbourhood types	Method for generating and analysing synthetic individual-level populations within small areas
原典	Harris, R., Sleight, P., & Webber, R. (2005). Geodemographics, GIS and Neighbourhood Targeting. John Wiley & Sons, Chichester. ISBN: 9780470864135	Lovelace, R., & Dumont, M. (2016). Spatial Microsimulation with R. Chapman and Hall/CRC, Boca Raton. ISBN: 9781498711548
別名	Neighbourhood Classification, Area Classification, Geodemographic Segmentation, Neighbourhood Typology	Small-Area Population Synthesis, Synthetic Population Generation, Geographical Microsimulation, Spatial Microdata Estimation
関連	4	4
概要	Geodemographic classification is the process of grouping small geographic areas into a set of distinctive neighbourhood types according to the demographic, socioeconomic, and housing characteristics of the people who live there. It rests on the principle that 'birds of a feather flock together' — that residents of a neighbourhood tend to resemble one another and differ from those elsewhere — and turns dozens of census variables into a single, interpretable label for every area. Commercial systems such as Mosaic and ACORN and open classifications such as the UK Output Area Classification are all built this way, and the approach was consolidated as a discipline by Harris, Sleight and Webber in 2005.	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.