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- W113325073 abstract "Many areas of geographical research, indeed research across the social sciences, are constrained by the absence of needed data to test hypotheses at the individual level. To address this problem, a variety of methods of ecological inference have been developed, to allow statements about individual behavior generated from aggregate data only – which in much geographical research involves aggregate data for areal units. One such method is entropy-maximizing (EMax), developed to provide improved estimates of interaction patterns from those produced by the gravity model and adapted for studies of various aspects of electoral geography. The mathematical basis of EMax is set out here, with illustrative examples drawn from the two main areas of usage." @default.
- W113325073 created "2016-06-24" @default.
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- W113325073 date "2009-01-01" @default.
- W113325073 modified "2023-09-25" @default.
- W113325073 title "Entropy-Maximising Models" @default.
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- W113325073 doi "https://doi.org/10.1016/b978-008044910-4.00426-0" @default.
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