Võrdle meetodeid

	Liikuvuse ja migratsiooni radiatsioonimudel	Migratsioonimudelid (tõmbe-tõuke / mitmeregioonilised)	Ruumiinteraktsiooni (gravitatsiooni) mudelid
Valdkond	Ruumianalüüs	Demograafia	Ruumianalüüs
Perekond	Regression model	Regression model	Regression model
Tekkeaasta	2012	1966	1971
Looja	Filippo Simini et al.	Everett Lee	Alan Wilson (entropy-maximizing family)
Tüüp	Parameter-free spatial interaction model	Theoretical-quantitative migration framework	Model of flows between spatial origins and destinations
Algallikas	Simini, F., González, M. C., Maritan, A., & Barabási, A.-L. (2012). A universal model for mobility and migration patterns. Nature, 484, 96–100.	Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47–57.	Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32.
Rööpnimetused	Radiation Law of Human Mobility, Parameter-free Mobility Model, Simini Radiation Model, Radyasyon Modeli	Push-Pull Migration Theory, Multiregional Migration Model, Lee Migration Framework, Göç Modelleri	gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli
Seotud	3	3	4
Kokkuvõte	The Radiation Model, introduced by Simini et al. in 2012, is a parameter-free model for predicting human mobility and migration flows between geographic locations. Drawing an analogy from radiation physics, it predicts trip volumes based solely on population sizes at origin and destination, and the intervening population within the circle connecting them. It has been widely applied to commuting flows, migration, and epidemic spreading.	Migration models are quantitative frameworks for explaining and forecasting population movement between geographic units. Lee's (1966) push-pull theory classifies factors at origin and destination into positive and negative forces, modulated by intervening obstacles. Widely used by demographers, regional planners, and policy researchers to project labor mobility, refugee flows, and urbanization trends across national and subnational geographies.	Spatial interaction models predict the volume of flows — migrants, commuters, shoppers, trade, trips — between origins and destinations as a function of the size of each place and the distance or cost separating them. By analogy to Newton's gravity, interaction rises with the 'mass' of origin and destination and falls with separation, and Wilson's 1971 entropy-maximizing family put these models on a rigorous footing for transport, migration, and retail analysis.