[R-sig-Geo] R-sig-Geo Digest, Vol 32, Issue 1

[Dan Bebber]

Hi Gabriella,

there are a bewildering array of functions that do spatial interpolation, 
located in several packages.
If you have a good statistical knowledge you may wish to use geostatistical 
functions (variograms followed by kriging). I wouldn't recommend 
geostatistics without knowledge of its assumptions. Geostatistics are 
available in packages geoR, sgeostat, gstat, RandomFields, fields, and 
spatial.
If you are a beginner, then something like interp() in the library(akima), 
loess in library(stats), surf.ls in library(spatial), splint, image.smooth, 
and interp.surface in library(fields) will give you various types of 
interpolation.
There may be accepted ways of interpolating in meteorology, so I would look 
in the appropriate literature.

Then there is the question of viewing your gridded data. Again, there are 
many, many ways of doing this in R...

Dan Bebber

Department of Plant Sciences
University of Oxford

> ------------------------------
>
> Message: 7
> Date: Tue, 4 Apr 2006 11:39:40 +0200
> From: "Csima Gabriella" <csima.g at met.hu>
> Subject: [R-sig-Geo] interpolation in R
> To: <r-sig-geo at stat.math.ethz.ch>
> Message-ID: <003401c657cb$b2775360$1e0110ac at PC2122>
> Content-Type: text/plain; charset="iso-8859-2"
>
> Dear Everyone!
> I am a meteorologist in Hungary and a beginner of using R. I would need a
> function in R that can interpolate data from irregular places
> (meteorological stations) to regular places (gridpoints). If you know this
> kind of function, write me the name of the function and its library.
> Thanks very much in advance!
> Gabriella Csima
> csima.g at met.hu
>
>
>