Metodes pierādījumu reģistrs

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.

Sources recorded, not reviewed

Avota reģistrs

Atsauces kopētas tieši no metodes avota reģistra. Tās nenozīmē nekādu apgalvojumu līmeņa verifikāciju.

Spatial Microsimulation (Small-Area Population Synthesis)

Taksonomiskās metodes reģistrs · process-pipeline / human-geography

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

Atvērt pilnu metodi

Kurēti apgalvojumi

Apgalvojumi saglabāti pierādījumu reģistrā, katram ar savu novērtējumu.

Vēl nav kurētu apgalvojumu

Šis skatījums neizgudro apgalvojumu novērtējumu, ja reģistrā tā nav.

Saistītās metodes

Ģenerēts no metodes grafika un parādīts kā mašīnas ieteiktas attiecības — netiek izvirzīts neviens pierādījumu apgalvojums.

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.