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

Tue Feb 13 17:21:29 CET 2018

You can't use a lat/long coordinate system when kriging because the concept
of distance is ambiguous. Convert all your data a UTM grid like you had in
your first post and it should work.

Another note, It looks like you are working at 0.01 deg which is on the
order of 1km resolution so you may find  other covariates such as aspect,
slope, and wind sheltering/exposure, terrain roughness for estimating snow
on the ground useful. see some of the earliest papers by Carroll, Cressie,
and Elder.

Carroll, S. S., and N. Cressie (1996), A comparison of geostatistical
methodologies used to estimate snow water equivalent, *JAWRA Journal of the
American Water Resources Association*, *32*(2), 267–278,
doi:10.1111/j.1752-1688.1996.tb03450.x.

Carroll, S. S., and N. Cressie (1997), Spatial modeling of snow water
equivalent using covariances estimated from spatial and geomorphic
attributes, *Journal of Hydrology*, *190*(1-2), 42–59.

Balk, B., and K. Elder (2000), Combining binary decision tree and
geostatistical methods to estimate snow distribution in a mountain
watershed, *Water Resources Research*, *36*(1), 13–26,
doi:10.1029/1999WR900251.

Erxleben, J., K. Elder, and R. Davis (2002), Comparison of spatial
interpolation methods for estimating snow distribution in the Colorado
Rocky Mountains, *Hydrological Processes*, *16*(18), 3627–3649,
doi:10.1002/hyp.1239.

Erickson, T. A., M. W. Williams, and A. Winstral (2005), Persistence of
topographic controls on the spatial distribution of snow in rugged mountain
terrain, Colorado, United States, *Water Resour. Res.*, *41*(4), W04014,
doi:10.1029/2003WR002973.

On Tue, Feb 13, 2018 at 3:45 AM, Stefano Sofia <
stefano.sofia at regione.marche.it> wrote:

> Dear Daniel and list users,
> I tried to follow the instructions but I encountered two kinds of errors.
> This is a reproducibile code:
>
> ------------------------------------------------------------
> ---------------------------------------------------
> library(automap)
> library(ggplot2)
> library(gstat)
> library(raster)
> library(rasterVis)
> library(rgdal)
> library(maptools)
>
> ## LOADING DEM
> ita_DEM <- getData('alt', country='ITA', mask=TRUE)
> crs(ita_DEM) <- "+init=epsg:4326 +proj=longlat +datum=WGS84 +no_defs
> +ellps=WGS84 +towgs84=0,0,0"
> #ita_DEM <- as(ita_DEM, "SpatialGridDataFrame")
> str(ita_DEM)
>
> ## LOADING RAINFALL DATA
> rain_data <- data.frame(Cumulata=c(11.8, 9.0, 8.0, 36.6, 9.4),
> Long_Cent=c(12.61874, 12.78690, 12.96756, 13.15599, 13.28157),
> Lat_Cent=c(43.79447, 43.85185, 43.76267, 43.03470, 43.08003),
> Altitude=c(112.20, 42.93, 36.14, 747, 465))
>
> stations <- data.frame(rain_data$Long_Cent, rain_data$Lat_Cent)
> rain_data <- SpatialPointsDataFrame(stations, rain_data,
> proj4string=CRS("+init=epsg:4326"))
> stations <- SpatialPoints(stations, proj4string=CRS("+init=epsg:4326"))
>
> ## EXTRACT THE ELEVATION VALUES TO MY POINTS
> rain_data$ExtractedElevationValues <- extract(x=ita_DEM, y=stations)
>
> ## CREATE GRID FOR KRIGING OUTPUT
> minx <-  rain_data at bbox[1,1]
> maxx <- rain_data at bbox[1,2]
> miny <- rain_data at bbox[2,1]
> maxy <- rain_data at bbox[2,2]
> pixel <- 0.01
> grd <- expand.grid(x=seq(minx, maxx, by=pixel), y=seq(miny, maxy,
> by=pixel))
> coordinates(grd) <- ~x+y
> gridded(grd) <- TRUE
> proj4string(grd) <- CRS("+init=epsg:4326")
>
> ## KRIGING: autoKrige(YourMeasurements ~ YourExtractedElevationValues,
> YourMeasurementLocations, TargetGrid)
> OK_snow <- autoKrige(Cumulata ~ rain_data$ExtractedElevationValues,
> rain_data, grd)
> ------------------------------------------------------------
> -------------------------------------------------------------------
>
> The error I get is:
> Error in autoKrige(Cumulata ~ rain_data$ExtractedElevationValues,
> rain_data,  :
>   Either input_data or new_data is in LongLat, please reproject.
>    input_data:  +init=epsg:4326 +proj=longlat +datum=WGS84 +no_defs
> +ellps=WGS84 +towgs84=0,0,0
>    new_data:    +init=epsg:4326 +proj=longlat +datum=WGS84 +no_defs
> +ellps=WGS84 +towgs84=0,0,0
>
> but I did pay attention to have the same reference system in rain_data,
> drg and the Digital Elevation Model.
>
> Moreover, if I impose the class of the DEM to SpatialGridDataFrame when I
> extraxt the elevation points from the DEM I get the following error:
> Error in (function (classes, fdef, mtable)  :
>   unable to find an inherited method for function ‘extract’ for signature
> ‘"SpatialGridDataFrame", "SpatialPoints"’
> Calls: extract -> <Anonymous>
>
>
> Would you please somebody help to show me where is my mistake?
>
> Thank you for all your attention
> Stefano
>
>          (oo)
> --oOO--( )--OOo----------------
> Stefano Sofia PhD
> Area Meteorologica e  Area nivologica - Centro Funzionale
> Servizio Protezione Civile - Regione Marche
> Via del Colle Ameno 5
> 60126 Torrette di Ancona, Ancona
> Uff: 071 806 7743
> E-mail: stefano.sofia at regione.marche.it
> ---Oo---------oO----------------
> ________________________________________
> Da: R-sig-Geo [r-sig-geo-bounces at r-project.org] per conto di Daniel
> Knitter [knitter at geographie.uni-kiel.de]
> Inviato: lunedì 12 febbraio 2018 9.16
> A: r-sig-geo at r-project.org
> Oggetto: Re: [R-sig-Geo]  Interpolating snowfall values on a Digital
> Elevation Model
>
> ...sorry, I missed one step: you need to extract the elevation values to
> your points via extract function from the raster package:
>
> YourPoints$YourExtractedElevationValues <- extract(x = DEM, y =
> YourPoints)
>
> autoKrige(YourMeasurements ~ YourExtractedElevationValues,
> YourMeasurementLocations, TargetGrid)
>
>
> Sorry for spamming.
>
> 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
> >
> >
> >          (oo)
> > --oOO--( )--OOo----------------
> > Stefano Sofia PhD
> > Area Meteorologica e  Area nivologica - Centro Funzionale
> > Servizio Protezione Civile - Regione Marche
> > Via del Colle Ameno 5
> > 60126 Torrette di Ancona, Ancona
> > Uff: 071 806 7743
> > E-mail: stefano.sofia at regione.marche.it
> > ---Oo---------oO----------------
> >
> > ________________________________
> >
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> --
>
> Dr. Daniel Knitter
> CRC1266 -- Scales of Transformation
> Project A2 "Integrative Modeling of Socio-Environmental Dynamics"
>
> Christian-Albrechts-Universität zu Kiel
> Department of Geography
> Physical Geography -- Landscape Ecology and Geoinformation
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>
> Phone: +49 431 880 2941
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>
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