Confronta i metodi

	Modelli di Interazione Spaziale (Gravitazionali)	Analisi Decisionale Multi-Criterio basata su GIS (GIS-MCDA)
Campo	Analisi spaziale	Analisi spaziale
Famiglia	Regression model	Process / pipeline
Anno di origine	1971	2006
Ideatore	Alan Wilson (entropy-maximizing family)	Jacek Malczewski (GIS-MCDA synthesis)
Tipo	Model of flows between spatial origins and destinations	Spatial multi-criteria suitability/decision analysis
Fonte seminale	Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32.	Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726.
Alias	gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli	GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability
Correlati	4	4
Sintesi	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.	GIS-MCDA combines the map layers of a geographic information system with multi-criteria decision analysis to produce suitability or priority maps — ranking locations by how well they satisfy several weighted criteria at once. It is the standard framework for spatial decisions such as siting hospitals, solar farms, landfills, or evacuation areas, integrating methods like AHP, TOPSIS, and weighted overlay with spatial data.