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Spatial and Longitudinal Data Analysis: Two Histories with a Common Future?

1997; Springer Nature; Linguagem: Inglês

10.1007/978-1-4612-0699-6_34

2197-7186

Peter J. Diggle,

Economic and Environmental Valuation

A historically oriented review of spatial and longitudinal data analysis is presented. It is argued that these two branches of statistical research developed separately for good historical reasons, but that their common foundation in the analysis of correlated data, coupled with modern computing developments has encouraged their convergence. Current research in generalized linear mixed models and, more generally, in highly structured stochastic systems, exemplifies this convergence.