ten
-Original Message-
From: R-sig-Geo [mailto:r-sig-geo-boun...@r-project.org] On Behalf Of Miluji
Sb
Sent: Donnerstag, 15. März 2018 12:55
To: Bede-Fazekas Ákos; tom.he...@gmail.com
Cc: R-sig-geo mailing list
Subject: Re: [R-sig-Geo] Spatial Downscaling in R
Thank you for your replies
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
wrote:
> Dear Milu,
>
> You can
For downscaling, and especially if you work with relatively smooth
surfaces and large rasters, I recommend using gdalwarp cubicspline
technique e.g. (http://www.gdal.org/gdalwarp.html):
gdalwarp input.tif output.tif -r "cubicspline" -tr 250 250 -co
"COMPRESS=DEFLATE"
If you prefer to do
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
Thanks again! Looking into this right now.
Sincerely,
Milu
On Wed, Mar 14, 2018 at 9:54 PM, Michael Sumner wrote:
> Try ClimDown package, otherwise more generally raster function
> disaggregate.
>
> Cheers
>
> On Thu, 15 Mar 2018, 06:53 Miluji Sb,
Try ClimDown package, otherwise more generally raster function disaggregate.
Cheers
On Thu, 15 Mar 2018, 06:53 Miluji Sb, wrote:
> Dear all,
>
> Please forgive my inexperience with spatial downscaling. I am interested in
> spatial downscaling of global temperature to grid
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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