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স্থানিক মিথস্ক্রিয়া (মহাকর্ষ) মডেল×অবস্থান-বরাদ্দ মডেল×মাল্টিনোমিয়াল লজিস্টিক রিগ্রেশন×
ক্ষেত্রস্থানিক বিশ্লেষণস্থানিক বিশ্লেষণঅর্থমিতি
পরিবারRegression modelProcess / pipelineRegression model
উদ্ভবের বছর197119631974
প্রবর্তকAlan Wilson (entropy-maximizing family)Leon Cooper; S. L. HakimiMcFadden
ধরনModel of flows between spatial origins and destinationsSpatial facility-location optimizationMultinomial logistic regression
মৌলিক উৎসWilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32. DOI ↗Cooper, L. (1963). Location-allocation problems. Operations Research, 11(3), 331–343. 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
অপর নামgravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modelifacility location, p-median problem, maximal covering location problem, yer-tahsis modellerimultinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyon
সম্পর্কিত445
সারসংক্ষেপSpatial 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.Location-allocation models decide where to place a set of facilities and simultaneously assign demand points to them so as to optimize an objective such as total travel cost, worst-case distance, or population covered. Rooted in the operations-research work of Cooper (1963) and Hakimi (1964) and central to network GIS, they answer questions like where to site warehouses, hospitals, fire stations, or schools to best serve a spatially distributed population.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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ScholarGateপদ্ধতির তুলনা করুন: Spatial Interaction Model · Location-Allocation · Multinomial Logit. 2026-06-17 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare