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: [EMAIL PROTECTED]
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