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.
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Fischer, M.M., Nijkamp, P. (1985). Categorical Data and Choice Analysis in a Spatial Context. In: Hutchinson, B.G., Nijkamp, P., Batty, M. (eds) Optimization and Discrete Choice in Urban Systems. Lecture Notes in Economics and Mathematical Systems, vol 247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51020-5_1
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