Salīdzināt metodes

	Migrācijas modeļi (Push-Pull / Multiregionāli)	Radiācijas mobilitātes un migrācijas modelis	Telpiskās mijiedarbības (gravitācijas) modeļi
Nozare	Demogrāfija	Telpiskā analīze	Telpiskā analīze
Saime	Regression model	Regression model	Regression model
Izcelsmes gads	1966	2012	1971
Autors	Everett Lee	Filippo Simini et al.	Alan Wilson (entropy-maximizing family)
Tips	Theoretical-quantitative migration framework	Parameter-free spatial interaction model	Model of flows between spatial origins and destinations
Pirmavots	Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47–57.	Simini, F., González, M. C., Maritan, A., & Barabási, A.-L. (2012). A universal model for mobility and migration patterns. Nature, 484, 96–100.	Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32.
Citi nosaukumi	Push-Pull Migration Theory, Multiregional Migration Model, Lee Migration Framework, Göç Modelleri	Radiation Law of Human Mobility, Parameter-free Mobility Model, Simini Radiation Model, Radyasyon Modeli	gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli
Saistītās	3	3	4
Kopsavilkums	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.	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.	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.