Thank you very much for your code. I am looking for a method to do normal
score transform on raster data, and I will try your code.
For the moment I am not interested in the back transformation , but it could
be useful for the future.
I am sorry if the topic was already considered in the pas, but
[EMAIL PROTECTED] wrote:
> Edzer,
>
> Thanks for identifying the problem. The problem showed how big the impact of
> the choice of nmax value on the estimation is.
>
> In both krige and gstat, the default value for nmax is Inf. I am doing a
> simulation experiment now to assess the performance of
Edzer,
Thanks for identifying the problem. The problem showed how big the impact of
the choice of nmax value on the estimation is.
In both krige and gstat, the default value for nmax is Inf. I am doing a
simulation experiment now to assess the performance of several spatial
interpolators using a
Hello.
Some Springer's R related books has been published in
Japan.
I think some demand for a book about spatial statistics
in my country.
Any plan or contact of Japanese translation of this
interesting book prepared?
Regards.
___
R-sig-Geo mai
Hi Laura,
I've written code to do normal score and back-transforms. Edzer dropped this
code from me last month on this list, but I'll repost.
Normalizing data is extremely simple in R. The back-transform is the
problematic part. Please read the documentation in the file to learn more
about the
Jin, you specified nmax = 7 in the second call, but not in the first.
Comparing idp values is easiest when other things remain equal.
--
Edzer
[EMAIL PROTECTED] wrote:
Dear there,
I tried to compare idw and gstat in library(gstat). I specified idp as 0.5 in
both functions, I expected identical
Dear all,
I have a small image with three bands and I would like to normalise the
variance of the three bands in order to get a more homogeneous dataset for
further elaborations.
I am thinking to use the normal score transform, but I have some questions
about how to implement in R and especially ho
Dear there,
I tried to compare idw and gstat in library(gstat). I specified idp as 0.5 in
both functions, I expected identical results, but what I got are different as
shown for the first five samples. Please help. Thanks.
> data(meuse)
> coordinates(meuse) = ~x+y
> data(meuse.grid)
> grid
