Comparer des méthodes

	Modèles de migration (Push-Pull / Multirégionaux)	Projection par cohortes et composantes	Modèles d'interaction spatiale (gravitationnelle)
Domaine	Démographie	Démographie	Analyse spatiale
Famille	Regression model	Process / pipeline	Regression model
Année d'origine	1966	2001	1971
Auteur d'origine	Everett Lee	Preston, Heuveline & Guillot	Alan Wilson (entropy-maximizing family)
Type	Theoretical-quantitative migration framework	Demographic projection pipeline	Model of flows between spatial origins and destinations
Source fondatrice	Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47–57.	Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 978-1-557-86451-2	Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32.
Alias	Push-Pull Migration Theory, Multiregional Migration Model, Lee Migration Framework, Göç Modelleri	Cohort-Component Method, Component Method of Population Projection, Age-Sex-Specific Population Projection, Kohort-Bileşen Projeksiyonu	gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli
Apparentées	3	3	4
Résumé	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.	Cohort-Component Projection is the standard demographic method for forecasting future population size and age-sex structure by explicitly tracking births, deaths, and migration for each age-sex cohort across discrete time steps. Systematically formalized in the textbook literature by Preston, Heuveline, and Guillot (2001), the method builds on foundational actuarial and demographic work dating to the early twentieth century and remains the workhorse technique used by national statistical offices and international organizations worldwide.	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.