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List:       r-sig-geo
Subject:    Re: [R-sig-Geo] R Basic Spatial Interpolation
From:       Frede Aakmann Tøgersen <frtog () vestas ! com>
Date:       2014-09-29 6:59:57
Message-ID: B078CDF40DFE4045AF172A8B4F68FC4857C7E769DF () DKRDSEXC016 ! vestas ! net
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Hi

It is kind of difficult to help you since we don't know what you have tried and what \
failed for you. Could you share your R code with error messages and preferably \
elaborate on what you really want to get from an interpolation. You are talking about \
meteorological data observed in 2D and perhaps in time. Do you want some kind of \
spatio-temporal model?

Yours sincerely / Med venlig hilsen


Frede Aakmann Tøgersen
Specialist, M.Sc., Ph.D.
Plant Performance & Modeling

Technology & Service Solutions
T +45 9730 5135
M +45 2547 6050
frtog@vestas.com
http://www.vestas.com

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> -----Original Message-----
> From: r-sig-geo-bounces@r-project.org [mailto:r-sig-geo-bounces@r-
> project.org] On Behalf Of Bernie Kruger
> Sent: 29. september 2014 00:48
> To: r-sig-geo@r-project.org
> Subject: [R-sig-Geo] R Basic Spatial Interpolation
> 
> I am a bit lost at the moment trying to find an R package/method to solve my
> very basic problem. I think this might be the right forum to help me out. I
> have a very simple dataset with Lat/Lon, Temp and Time as observations of
> temperature at specific weather stations.
> 
> All I want to do is to "predict" missing temperatures at specific Lat/Lon
> locations not covered by the weather stations. This need not to be highly
> accurate, but purely indicative of what the temperature could be.
> 
> I suspect I am after Spatial Interpolation, but I also read about Kriging
> etc.
> 
> I have played around with various methods/packages (Akima/Kriging) and it
> does my head in - no success. Any suggestions/help please?
> 
> Cheers
> B
> 
> 
> 
> --
> View this message in context: http://r-sig-geo.2731867.n2.nabble.com/R-
> Basic-Spatial-Interpolation-tp7587199.html
> Sent from the R-sig-geo mailing list archive at Nabble.com.
> 
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