השוואת שיטות

	רגרסיה לוגיסטית מולטינומית	מודלים של אינטראקציה מרחבית (כבידה)
תחום	אקונומטריקה	ניתוח מרחבי
משפחה	Regression model	Regression model
שנת המקור	1974	1971
הוגה השיטה	McFadden	Alan Wilson (entropy-maximizing family)
סוג	Multinomial logistic regression	Model of flows between spatial origins and destinations
מקור מכונן	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	Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32.
כינויים	multinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyon	gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli
קשורות	5	4
תקציר	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.	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.