This is the contribute of Daniel Knitter to my previous doubts.
Thank you again to Daniel Knitter and Dominik Scheider for their help.
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.so...@regione.marche.it
---Oo---------oO----------------
________________________________________
Da: Daniel Knitter [knit...@geographie.uni-kiel.de]
Inviato: martedì 13 febbraio 2018 10.51
A: Stefano Sofia
Oggetto: Re: [R-sig-Geo] Interpolating snowfall values on a Digital Elevation
Model
Dear Stefano,
concerning the error messages:
1) you need projected (metric) coordinates -- while you are using geographic
ones
2) the extract function is from package raster and expects a raster input --
while you give a SpatialGridDataFrame as input
this code should work:
library(raster)
ita_DEM <- getData('alt', country='ITA', mask=TRUE)
ita_DEM <- projectRaster(ita_DEM, crs = CRS("+init=epsg:32633"))
## 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))
library(sp)
coordinates(rain_data) <- ~Long_Cent+Lat_Cent
proj4string(rain_data) <- CRS("+init=epsg:4326")
rain_data <- spTransform(rain_data, CRS("+init=epsg:32633"))
rain_data$extractedelevationvalues <- extract(x=ita_DEM, y=rain_data)
newgrid <- as(ita_DEM, "SpatialGridDataFrame")
names(newgrid) <- "extractedelevationvalues"
library(automap)
RegressionKriging_snow <- autoKrige(cumulata~extractedelevationvalues,
rain_data,
newgrid)
Cheers,
Daniel
On Tue, 13 Feb 2018 08:45:34 +0000
Stefano Sofia <stefano.so...@regione.marche.it> wrote:
> Dear Daniel and list users,
> I tried to follow the instructions but I encountered two kinds of errors.
> This is a reproducibile code:
>
> ---------------------------------------------------------------------------------------------------------------
> library(automap)
> library(ggplot2)
> library(gstat)
> library(raster)
> library(rasterVis)
> library(rgdal)
> library(maptools)
>
> ## LOADING DEM
> ita_DEM <- getData('alt', country='ITA', mask=TRUE)
> crs(ita_DEM) <- "+init=epsg:4326 +proj=longlat +datum=WGS84 +no_defs
> +ellps=WGS84 +towgs84=0,0,0"
> #ita_DEM <- as(ita_DEM, "SpatialGridDataFrame")
> str(ita_DEM)
>
> ## LOADING RAINFALL DATA
> rain_data <- data.frame(Cumulata=c(11.8, 9.0, 8.0, 36.6, 9.4),
> Long_Cent=c(12.61874, 12.78690, 12.96756, 13.15599, 13.28157),
> Lat_Cent=c(43.79447, 43.85185, 43.76267, 43.03470, 43.08003),
> Altitude=c(112.20, 42.93, 36.14, 747, 465))
>
> stations <- data.frame(rain_data$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@bbox[1,1]
> maxx <- rain_data@bbox[1,2]
> miny <- rain_data@bbox[2,1]
> maxy <- rain_data@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.so...@regione.marche.it
> ---Oo---------oO----------------
> ________________________________________
> Da: R-sig-Geo [r-sig-geo-boun...@r-project.org] per conto di Daniel Knitter
> [knit...@geographie.uni-kiel.de]
> Inviato: lunedì 12 febbraio 2018 9.16
> A: r-sig-geo@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.so...@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.so...@regione.marche.it
> > ---Oo---------oO----------------
> >
> > ________________________________
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> --
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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
> Ludewig-Meyn-Str. 14, room 109
> D - 24118 Kiel, Germany
>
> Phone: +49 431 880 2941
> Email: knit...@geographie.uni-kiel.de
>
> ________________________________
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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
Ludewig-Meyn-Str. 14, room 109
D - 24118 Kiel, Germany
Phone: +49 431 880 2941
Email: knit...@geographie.uni-kiel.de
________________________________
AVVISO IMPORTANTE: Questo messaggio di posta elettronica può contenere
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alla ricezione. I messaggi di posta elettronica per i client di Regione Marche
possono contenere informazioni confidenziali e con privilegi legali. Se non si
è il destinatario specificato, non leggere, copiare, inoltrare o archiviare
questo messaggio. Se si è ricevuto questo messaggio per errore, inoltrarlo al
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visionata da persone estranee al destinatario.
IMPORTANT NOTICE: This e-mail message is intended to be received only by
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