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
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