R help - Nov 2005 - spatial-time smoothing

Hi all,
I'm looking for to interpolate hourly temperature date collected from more
than 140 automatic weather station (irregularly spaced) using 4 independent
variable:

1-2) geografic coordinates (x,y) (from DEM - 40m)
3) altitude (z) (from DEM - 40m)
4) solar radiation (from a model calculated with grass: r.sun)

In addition, I would like to use also "time" variable (e.g.: hours).
So this
will be not only a spatial model, but rather a time-space interpolation in
order to calculate the estimated temperature for each hour in each x,y
location placed in the study region. The method that I'd like to use is
thin-plate spline because I think that this will be the better one for my
survey (but I'm not sure; what do you think about it?)
In any case the "heart" of the issue is how I can do it. I readen some
papers and looked the reference manual for several R packages, but I don't
understand wich is the better method to use for a spatial-time spline
smoothing.

Has anybody an idea how to solve a problem like this or that know some paper
that can be useful for this pourpose?

Thank you in advance

Andrea

--------------------------------------------
Andrea Aimi
Department of Agriculture and Forestry
Institute of Entomology
Padua - Italy
e-mail: aimi.andrea@gmail.com

	[[alternative HTML version deleted]]

Have you considered the "pastecs" package 
(http://finzi.psych.upenn.edu/R/library/pastecs/html/00Index.html)? 
This was the first of 2 hits for RSiteSearch("space-time 
interpolation").  Alternatively, have you considered the "locfit"
package, mentioned in 2 of the 5 hits to RSiteSearch("multidimensional 
interpolation").

	  hope this helps.
	  spencer graves

Andrea Aimi wrote:
> Hi all,
> I'm looking for to interpolate hourly temperature date collected from
more
> than 140 automatic weather station (irregularly spaced) using 4 independent
> variable:
> 
> 1-2) geografic coordinates (x,y) (from DEM - 40m)
> 3) altitude (z) (from DEM - 40m)
> 4) solar radiation (from a model calculated with grass: r.sun)
> 
> In addition, I would like to use also "time" variable (e.g.:
hours). So this
> will be not only a spatial model, but rather a time-space interpolation in
> order to calculate the estimated temperature for each hour in each x,y
> location placed in the study region. The method that I'd like to use is
> thin-plate spline because I think that this will be the better one for my
> survey (but I'm not sure; what do you think about it?)
> In any case the "heart" of the issue is how I can do it. I readen
some
> papers and looked the reference manual for several R packages, but I
don't
> understand wich is the better method to use for a spatial-time spline
> smoothing.
> 
> Has anybody an idea how to solve a problem like this or that know some
paper
> that can be useful for this pourpose?
> 
> Thank you in advance
> 
> Andrea
> 
> --------------------------------------------
> Andrea Aimi
> Department of Agriculture and Forestry
> Institute of Entomology
> Padua - Italy
> e-mail: aimi.andrea at gmail.com
> 
> 	[[alternative HTML version deleted]]
> 
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