[R-sig-Geo] Spatial Downscaling in R

[Miluji Sb]

 Thank you for your replies. I will try with the packages you mentioned -
they look very useful, I guess my issue is that all I have a vector of
global mean. Thanks again!

Sincerely,

Milu


On Thu, Mar 15, 2018 at 9:34 AM, Bede-Fazekas Ákos <bfalevlist at gmail.com>
wrote:

> 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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>>> Australian Antarctic Division
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