Spatial Downscaling in R

Dear Milu,

You can use any spatial interpolation method as statistical downscaling
approach. See package gstat for IDW (inverse distance weighted) and several
types of kriging. In case of temperature, you might use elevation data from
a DEM or radiation data as auxiliary variables in those interpolation
methods (e.g. regression kriging) that can handle auxiliary data.

HTH,
?kos Bede-Fazekas
Hungarian Academy of Sciences



2018.03.14. 22:15 keltez?ssel, Miluji Sb ?rta:

Thanks again! Looking into this right now.

Sincerely,

Milu

On Wed, Mar 14, 2018 at 9:54 PM, Michael Sumner <mdsumner at gmail.com>
wrote:

Try ClimDown package, otherwise more generally raster function

disaggregate.

Cheers

On Thu, 15 Mar 2018, 06:53 Miluji Sb, <milujisb at gmail.com> wrote:

Dear all,

Please forgive my inexperience with spatial downscaling. I am interested
in
spatial downscaling of global temperature to grid cell. Is there a
package
in R that can perform this function?

Any help/guidance will be highly appreciated.

Sincerely,

Milu

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Dr. Michael Sumner
Software and Database Engineer
Australian Antarctic Division
203 Channel Highway
<https://maps.google.com/?q=203+Channel+Highway+Kingston+Tas
mania+7050+Australia&entry=gmail&source=g>
Kingston Tasmania 7050 Australia
<https://maps.google.com/?q=203+Channel+Highway+Kingston+Tas
mania+7050+Australia&entry=gmail&source=g>


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