On Wed, 2003-10-22 at 12:03, Marcelo Alexandre Bruno wrote:
> Dear list-members
> 
> I try to run geoR for generate interpolation maps.
> My data is: x(longitud, decimal degree),y(latitud,
> decimal degree),z(Sa, acoustic parameter, limits range
> is 0 to 1000000, extremely skewed, represent
> backscatering echoes signals of fish schools). The
> dataset is 3007 nautic miles of sampling!
> 
> The analysis is run according to steps of Dr. Paulo
> Justiano's homepage
> http://www.est.ufpr.br/~paulojus/geoR/geoRdoc/geoRintro.html#starting
> .
> When kriging run, consume all memory of system, 
> (R.bin with only geoR consumes 86.8mb!! in Athlon
> xp1.6GHz, Linux redhat 9.0, 250mb + swapp 541mb).
> Is there something wrong (possible newbie question)
> or its possible vectorizing computations to
> reduce memory consume?
> 
> 
> "The necessary reliance on a n by n matrix, where n
> represents the number of observations, greatly impedes
> traditional spatial statistics from handling larger
> sample sizes." published from:
> Pace, R. Kelley, and Ronald Barry, "Fast CARs,"
> Journal of Statistical Computation and Simulation,
> Volume 59, Number 2, 1997, p. 123-147.
> 
> This is the case??
> (Apologies for my long msg.)
> Thanks for all.
> 
> =====
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Hi Marcelo,

It's commom to run out of memory with R, in particular if you are using
a version older than 1.4 (see man pages in that case). Also in versions
newer than 1.7 R loads a lot of libraries that may not be needed. You
can detach those libraries to get more memory.

My R.bin with geoR uses 16252k, the values you're getting includes the
memory occupied by your data.

When I have that kind of problems I try to reduce the data to the
minimum necessary and run R directly on the terminal, without X running.

Maybe Paulo Ribeiro can give you some hints about the way geoR processes
the data and try to optimize your computer resources.

Best regards

EJ
 
-- 
Ernesto Jardim <[EMAIL PROTECTED]>
Bi�logo Marinho/Marine Biologist
IPIMAR - Instituto Nacional de Investiga��o Agr�ria e das Pescas
IPIMAR - National Research Institute for Agriculture and Fisheries
Av. Brasilia, 1400-006
Lisboa, Portugal
Tel: +351 213 027 000
Fax: +351 213 015 948
http://ernesto.freezope.org


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