[R-sig-Geo] Spatial Downscaling in R

[Bede-Fazekas Ákos]

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,
Ákos Bede-Fazekas
Hungarian Academy of Sciences


2018.03.14. 22:15 keltezéssel, Miluji Sb írta:
> 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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>>>
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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+Tasmania+7050+Australia&entry=gmail&source=g>
>> Kingston Tasmania 7050 Australia
>> <https://maps.google.com/?q=203+Channel+Highway+Kingston+Tasmania+7050+Australia&entry=gmail&source=g>
>>
>>
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>
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