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.
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Received: 26 August 2002 / Revised version: 15 January 2003
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Bivand, R. Spatial econometrics functions in R: Classes and methods. J Geograph Syst 4, 405–421 (2002). https://doi.org/10.1007/s101090300096
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DOI: https://doi.org/10.1007/s101090300096