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

[Edzer Pebesma]

It can fit such a model.

On 07/15/2013 10:19 PM, Moshood Agba Bakare wrote:
> Thanks. What about gstat package?
> 
> Moshood
> 
> 
> On Mon, Jul 15, 2013 at 12:51 PM, Paulo Justiniano Ribeiro Jr <
> paulojus at 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
>>>
>>>         [[alternative HTML version deleted]]
>>>
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>>>
>>>
>>
> 
> 	[[alternative HTML version deleted]]
> 
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-- 
Edzer Pebesma
Institute for Geoinformatics (ifgi), University of Münster
Weseler Straße 253, 48151 Münster, Germany. Phone: +49 251
83 33081, Fax: +49 251 8339763 http://ifgi.uni-muenster.de