Hi Maurizio,
Thank you for the very clear example. I think this fixes it:
names(r) = 'elev'
UK<-interpolate(r, gUK, xyOnly=FALSE)
as in:
##UNIVERSAL KRIGING (working!!)
vu<-variogram(log(zinc)~elev,meuse)
mu<-fit.variogram(vu,vgm(1,"Sph",300,1))
gUK<-gstat(NULL,"log.zinc",log(zinc)~elev,meuse,mo
In your example, I see:
> UK<-interpolate(r,gUK)
Error in eval(expr, envir, enclos) : object 'elev' not found
it seems that 'elev' is not present in r.
On 10/23/2012 08:11 AM, Maurizio Marchi wrote:
> Oh, ok, I'm sorry, I had not understand the "self-contained" expression.
> Anyway, a self-conta
Oh, ok, I'm sorry, I had not understand the "self-contained" expression.
Anyway, a self-contained exaple can be this:
## BEGINNING
library(gstat)
library(rgdal)
library(raster)
data(meuse)
coordinates(meuse) = ~x+y
r <- raster(system.file("external/test.grd", package="
Hi Robert,
first of all, thank you for answering my question :)
that's my script with the error message of R.
Just to make you understand better:
'MED_MED' is the average temperature of my location of study;
'stazioniABR' is the database
'dtm' is the Digital Terrain Model that i use as raster backg
Maurizio,
Can you provide a simple self-contained example of what works and what does
not work?
Robert
On Wed, Oct 17, 2012 at 12:54 PM, Maurizio Marchi <
mauriziomarch...@gmail.com> wrote:
> Hallo everybody!
> It's the first time I write in this list and I hope to be clear enough.
> Last week I
Hallo everybody!
It's the first time I write in this list and I hope to be clear enough.
Last week I succeeded in performing ordinary, universal and co-Kriging
method using the 'gstat' and the 'rgdal' library.
Now I decided to try to use the 'raster' library instead of the 'rgdal' and
I have no pro
