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Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Modely prostorové interakce (gravitační modely)×Multinomická logistická regrese×
OborProstorová analýzaEkonometrie
RodinaRegression modelRegression model
Rok vzniku19711974
TvůrceAlan Wilson (entropy-maximizing family)McFadden
TypModel of flows between spatial origins and destinationsMultinomial logistic regression
Původní zdrojWilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32. DOI ↗McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. ISBN: 978-0127761503
Další názvygravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modelimultinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyon
Příbuzné45
ShrnutíSpatial 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.Multinomial logistic regression is a maximum-likelihood method for a nominal (unordered) dependent variable with more than two categories. Building on McFadden's 1974 treatment of qualitative choice, it gives each category its own set of coefficients relative to a reference category.
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ScholarGatePorovnat metody: Spatial Interaction Model · Multinomial Logit. Získáno 2026-06-15 z https://scholargate.app/cs/compare