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

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Modelling Longitudinal and Spatially Correlated Data

Part of the book series: Lecture Notes in Statistics ((LNS,volume 122))

Abstract

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.

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Author information

Authors and Affiliations

  1. Lancaster University, UK

    Peter J. Diggle

Authors
  1. Peter J. Diggle
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Editor information

Editors and Affiliations

  1. Department of Forestry, Virginia Polytechnic University and State Institute, Blacksburg, VA, 24061-0324, USA

    Timothy G. Gregoire

  2. Department of Statistics, University of California, Berkeley, Berkeley, CA, 94720, USA

    David R. Brillinger

  3. Department of Mathematics and Statistics, University of Lancaster, Lancaster, LA1 4YF, England

    Peter J. Diggle

  4. Department of Animal Sciences, University of Maryland, College Park, College Park, MD, 20742-2311, USA

    Estelle Russek-Cohen

  5. Department of Fisheries and Oceans, P.O. Box 5567, St. John’s, Newfoundland, A1C 5X1, Canada

    William G. Warren

  6. SAS Campus Drive, SAS Institute Inc., Cary, NC, 27513-2414, USA

    Russell D. Wolfinger

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© 1997 Springer Science+Business Media New York

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Diggle, P.J. (1997). Spatial and Longitudinal Data Analysis: Two Histories with a Common Future?. In: Gregoire, T.G., Brillinger, D.R., Diggle, P.J., Russek-Cohen, E., Warren, W.G., Wolfinger, R.D. (eds) Modelling Longitudinal and Spatially Correlated Data. Lecture Notes in Statistics, vol 122. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0699-6_34

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  • DOI: https://doi.org/10.1007/978-1-4612-0699-6_34

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-98216-8

  • Online ISBN: 978-1-4612-0699-6

  • eBook Packages: Springer Book Archive

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