Salīdzināt metodes

	Telpiskās mijiedarbības (gravitācijas) modeļi	Multi-kritēriju lēmumu analīze, kas balstīta uz ĢIS (GIS-MCDA)
Nozare	Telpiskā analīze	Telpiskā analīze
Saime	Regression model	Process / pipeline
Izcelsmes gads	1971	2006
Autors	Alan Wilson (entropy-maximizing family)	Jacek Malczewski (GIS-MCDA synthesis)
Tips	Model of flows between spatial origins and destinations	Spatial multi-criteria suitability/decision analysis
Pirmavots	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.
Citi nosaukumi	gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli	GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability
Saistītās	4	4
Kopsavilkums	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.