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Regresi Logistik Multinomial×Model Interaksi Spasial (Gravitasi)×
BidangEkonometrikaAnalisis Spasial
KeluargaRegression modelRegression model
Tahun asal19741971
PencetusMcFaddenAlan Wilson (entropy-maximizing family)
TipeMultinomial logistic regressionModel of flows between spatial origins and destinations
Sumber perintisMcFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. ISBN: 978-0127761503Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32. DOI ↗
Aliasmultinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyongravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli
Terkait54
RingkasanMultinomial 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.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.
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ScholarGateBandingkan metode: Multinomial Logit · Spatial Interaction Model. Diakses 2026-06-16 dari https://scholargate.app/id/compare