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

2018-02-13 Thread Stefano Sofia
Yes, thank you for all your observations.
I realized that I needed projected coordinates, I changed it and now it works.
I will read the suggested papers as soon as I can.

Thank you
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: Dominik Schneider [dosc3...@colorado.edu]
Inviato: marted� 13 febbraio 2018 17.21
A: Stefano Sofia
Cc: Daniel Knitter; r-sig-geo@r-project.org
Oggetto: Re: [R-sig-Geo] Interpolating snowfall values on a Digital Elevation 
Model

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./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.so...@regione.marche.it<mailto: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 o

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

2018-02-13 Thread Dominik Schneider
OO--( )--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 +
> 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
> >
> > 
> >
> > AVVISO IMPORTANTE: Questo messaggio di posta elettronica può contenere
> informazioni confidenziali, pertanto è destinato solo a persone autorizzate
> 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 mittente ed eliminarlo completamente dal sistema del proprio
> computer. Ai sensi dell’art. 6 della DGR n. 1394/2008 si segnala che, in
> caso di necessità ed urgenza, la risposta al presente messaggio di posta
> elettronica può essere visionata da persone estranee al destinatario.
> > IMPORTANT NOTICE: This e-mail message is intended to be received only by
> persons entitled to receive the confidential information it may contain.
> E-mail messages to clients of Regione Marche may contain information that
> is confidential and legally privileged. Please do not read, copy, forward,
> or store this message unless you are an intended recipient of it. If you
> have received this message in error, please forward it to the sender and
> delete it completely from your computer system.
> >
> > --
> > This message was scanned by Libra ESVA and is believed to be clean.
> >
> >
> >   [[alternative HTML version deleted]]
> >
> > ___
> > R-sig-Geo mailing list
> > R-sig-Geo@r-project.org
> > https://urlsand.esvalabs.com/?u=https%3A%2F%2Fstat.ethz.ch%
> 2Fmailman%2Flistinfo%2Fr-sig-geo=52342f8a=f7d4a649=y=y
>
>
> --
>
> 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 messagg

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

2018-02-13 Thread Stefano Sofia
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 -> 


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 +
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  

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

2018-02-12 Thread Daniel Knitter
...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 +
Stefano Sofia  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
> 
> 
> 
> AVVISO IMPORTANTE: Questo messaggio di posta elettronica può contenere 
> informazioni confidenziali, pertanto è destinato solo a persone autorizzate 
> 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 mittente ed eliminarlo completamente dal sistema del proprio 
> computer. Ai sensi dell’art. 6 della DGR n. 1394/2008 si segnala che, in caso 
> di necessità ed urgenza, la risposta al presente messaggio di posta 
> elettronica può essere visionata da persone estranee al destinatario.
> IMPORTANT NOTICE: This e-mail message is intended to be received only by 
> persons entitled to receive the confidential information it may contain. 
> E-mail messages to clients of Regione Marche may contain information that is 
> confidential and legally privileged. Please do not read, copy, forward, or 
> store this message unless you are an intended recipient of it. If you have 
> received this message in error, please forward it to the sender and delete it 
> completely from your computer system.
> 
> --
> This message was scanned by Libra ESVA and is believed to be clean.
> 
> 
>   [[alternative HTML version deleted]]
> 
> ___
> R-sig-Geo mailing list
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> https://stat.ethz.ch/mailman/listinfo/r-sig-geo


-- 

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

2018-02-12 Thread Daniel Knitter
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 +
Stefano Sofia  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
> 
> 
> 
> AVVISO IMPORTANTE: Questo messaggio di posta elettronica può contenere 
> informazioni confidenziali, pertanto è destinato solo a persone autorizzate 
> 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 mittente ed eliminarlo completamente dal sistema del proprio 
> computer. Ai sensi dell’art. 6 della DGR n. 1394/2008 si segnala che, in caso 
> di necessità ed urgenza, la risposta al presente messaggio di posta 
> elettronica può essere visionata da persone estranee al destinatario.
> IMPORTANT NOTICE: This e-mail message is intended to be received only by 
> persons entitled to receive the confidential information it may contain. 
> E-mail messages to clients of Regione Marche may contain information that is 
> confidential and legally privileged. Please do not read, copy, forward, or 
> store this message unless you are an intended recipient of it. If you have 
> received this message in error, please forward it to the sender and delete it 
> completely from your computer system.
> 
> --
> This message was scanned by Libra ESVA and is believed to be clean.
> 
> 
>   [[alternative HTML version deleted]]
> 
> ___
> R-sig-Geo mailing list
> R-sig-Geo@r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo




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