Võrdle meetodeid

	Ruumiinteraktsiooni (gravitatsiooni) mudelid	GIS-põhine mitmekriteeriumiline otsustusanalyys (GIS-MCDA)
Valdkond	Ruumianalüüs	Ruumianalüüs
Perekond	Regression model	Process / pipeline
Tekkeaasta	1971	2006
Looja	Alan Wilson (entropy-maximizing family)	Jacek Malczewski (GIS-MCDA synthesis)
Tüüp	Model of flows between spatial origins and destinations	Spatial multi-criteria suitability/decision analysis
Algallikas	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.
Rööpnimetused	gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli	GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability
Seotud	4	4
Kokkuvõte	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.