Title: Categorical Data and Choice Analysis in a Spatial Context
Abstract: This paper provides a comprehensive review of the techniques available for categorical data and discrete choice analysis in a spatial context. The first half of the paper reviews the class of models known as generalized linear models including log-linear models, linear logit regression models and latent class models. The second half of the paper focusses on techniques that may be used for categorical spatial choice analysis including utility-based models, multiattribute preference models and heuristic choice techniques.
Publication Year: 1985
Publication Date: 1985-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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Cited By Count: 6
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