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Log-linear modelling and spatial analysis

  • E Aufhauser
  • M M Fischer

In the past decade the social sciences have seen an upsurge of interest in analysing multidimensional contingency tables using log-linear models. Two broad families of log-linear models may be distinguished: the family of conventional models and the family of unconventional models (that is, quasi-log-linear and hybrid models). In this paper a brief review of such models is presented and some linkage to the class of generalised linear models suggested by Nelder and Wedderburn is provided. The great potential of log-linear models for spatial analysis is illustrated in applying conventional and unconventional models in a migration context to identify intertemporal stability of migration patterns. The problem that the effective units migrating are households rather than individuals is coped with by postulating a compound Poisson sampling scheme.

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Article provided by Pion Ltd, London in its journal Environment and Planning A.

Volume (Year): 17 (1985)
Issue (Month): 7 (July)
Pages: 931-951

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Handle: RePEc:pio:envira:v:17:y:1985:i:7:p:931-951
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