Modelling a large, sparse spatial interaction matrix using data relating to a subset of possible flows

DOI10.1016/0377-2217(94)90061-2zbMath0813.90075OpenAlexW2002130682WikidataQ57928533 ScholiaQ57928533MaRDI QIDQ1342648

Alan G. Munford, Trevor C. Bailey

Publication date: 30 May 1995

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-2217(94)90061-2

zbMATH Keywords

distributionmaximum likelihoodlocationspatial interactiongravity models

Mathematics Subject Classification ID

Queues and service in operations research (90B22) Discrete location and assignment (90B80)

Uses Software

• GLIM

Cites Work

• Spatial Structure and Spatial Interaction: Modelling Approaches to the Statistical Analysis of Geographical Data
• Estimation Methods for Models of Spatial Interaction
• On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known
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