Thanks. What about gstat package?

Moshood


On Mon, Jul 15, 2013 at 12:51 PM, Paulo Justiniano Ribeiro Jr <
paulojus@c3sl.ufpr.br> wrote:

> 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 <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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>>
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>>
>

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