Journal of Geographical Systems

, Volume 4, Issue 4, pp 405–421 | Cite as

Spatial econometrics functions in R: Classes and methods

  • Roger Bivand

Abstract.

 Placing spatial econometrics and more generally spatial statistics in the context of an extensible data analysis environment such as R exposes similarities and differences between traditions of analysis. This can be fruitful, and is explored here in relation to prediction and other methods usually applied to fitted models in R. Objects in R may be assigned a class attribute, including fitted model objects. Such fitted model objects may be provided with methods allowing them to be displayed, compared, and used for prediction, and it is of interest to see whether fitted spatial models can be treated in the same way.

Key words: Spatial econometrics, spatial statistics, spatial data analysis, open source software 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Roger Bivand
    • 1
  1. 1.Economic Geography Section, Department of Economics, Norwegian School of Economics and Business Administration, Breiviksveien 40, N-5045 Bergen, Norway; e-mail: Roger.Bivand@nhh.noNO

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