[R-sig-Geo] Package for fitting spatial model on large dataset

[Paulo Justiniano Ribeiro Jr]

likelihood based methods and full kriging neighbourhood in some (or most) 
of geoR functions are not suitable for such data size


Paulo Justiniano Ribeiro Jr
LEG (Laboratorio de Estatistica e Geoinformacao)
Universidade Federal do Parana
Caixa Postal 19.081
CEP 81.531-990
Curitiba, PR  -  Brasil
Tel: (+55) 41 3361 3573
VOIP: (+55) (41) (3361 3600) 1053 1066
Fax: (+55) 41 3361 3141
e-mail: paulojus AT  ufpr  br
http://www.leg.ufpr.br/~paulojus

On Mon, 15 Jul 2013, Moshood Agba Bakare wrote:

> Dear All,
> Please which of these packages - gstat and geoR is better for fitting
> spatial covariance structure model for spatial data with 20,000
> observations. Kindly recommend any other package you think can fit such
> model.
>
> Thank you.
>
> Moshood
>
> 	[[alternative HTML version deleted]]
>
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