Log-Linear Modelling and Spatial Analysis

Dados Bibliográficos

ID4142173
AutoresElisabeth Aufhauser (University of Vienna), Manfréd M Fischer (0000-0002-0033-2510, University of Vienna)
Ano1985
Volume17
Fascículo7
Páginas931-951
Data de publicação1985-07-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnvironment and Planning A Economy and Space (JOURNAL)
Identificadores do periódicoISSN: 0308-518X • E-ISSN: 1472-3409
EditoraSAGE Publications Inc (PUBLISHER)
DOI10.1068/a170931
OpenAlexW2049826680
IdiomaEN
Citações recebidas6
Referências citadas18

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

Contingency table · Econometrics · Generalized linear model · Geography · Linear model · Log-linear model · Machine learning · Poisson distribution · Statistics · Computer Science · Mathematics · Spatial and Panel Data Analysis · Urban Transport and Accessibility · Urban, Neighborhood, and Segregation Studies · Applied Mathematics · Artificial Intelligence