[R-sig-Geo] Interpolating snowfall values on a Digital Elevation Model

Daniel Knitter knitter at geographie.uni-kiel.de
Mon Feb 12 09:10:09 CET 2018


Hi Stefano,

assuming you have a DEM (downloaded e.g. from https://earthexplorer.usgs.gov/ or using the getData function from the raster package) as SpatialGridDataFrame loaded via readGDAL from the rgdal package you can use 

autoKrige(YourMeasurements ~ DEM, YourMeasurementLocations, TargetGrid)

Futher information on "Regression Kriging" or "Kriging with external drift" can be found in the book of Hengl: http://spatial-analyst.net/book/ToC

Best,
Daniel

On Mon, 12 Feb 2018 08:03:41 +0000
Stefano Sofia <stefano.sofia at regione.marche.it> wrote:

> Dear list users,
> I have to produce rainfall maps. I know how to create a (bi-dimensional) grid and interpolate rainfall values (from automatic rain gauges) on that grid using Kriging:
> 
> myinterpolation <- autoKrige(myrainfall_cumulate ~ 1, rain_data_UTM, mygrid)
> 
> In reality I am dealing with snowfall values on mountain regions, and in this case altitude is an important factor, the use of a Digital Elevation Model might make the difference.
> Looking in the web I found some important material about accessing elevation data in R with the "elevatr" package (by J.W.Hollister), I am reading it.
> My concern would then be to interpolate snowfall values on a Digital Elevation Model. Did somebody already use R for these kinds of calculations? Could somebody share with me some useful hints?
> 
> Thank you for your attention
> Stefano Sofia
> 
> 
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