Confronta i metodi

	Spatial Microsimulation	Geodemographic Classification
Campo	Human Geography	Human Geography
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	2016	2005
Ideatore	Developed in the IPF/microsimulation tradition; synthesized for geography by Lovelace & Dumont	Richard Webber (and the geodemographics tradition synthesized by Harris, Sleight & Webber)
Tipo	Method for generating and analysing synthetic individual-level populations within small areas	Pipeline that clusters small areas into interpretable neighbourhood types
Fonte seminale	Lovelace, R., & Dumont, M. (2016). Spatial Microsimulation with R. Chapman and Hall/CRC, Boca Raton. ISBN: 9781498711548	Harris, R., Sleight, P., & Webber, R. (2005). Geodemographics, GIS and Neighbourhood Targeting. John Wiley & Sons, Chichester. ISBN: 9780470864135
Alias	Small-Area Population Synthesis, Synthetic Population Generation, Geographical Microsimulation, Spatial Microdata Estimation	Neighbourhood Classification, Area Classification, Geodemographic Segmentation, Neighbourhood Typology
Correlati	4	4
Sintesi	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.	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.