Dear all,
somme ome can tell me how I can plot the correlograms of GAM, GLM, AND SVM, in
the same graph.
Yacine KOUBA
PHD Student (ecological modelization)
Pyrenean Institut of Ecology
Avda Montañana, Apdo 202, 50080, ZARAGOZA, SPAIN
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Paulo Justiniano Ribeiro Jr wrote:
You could try with the wave model:
require(geoR)
plot(c(0,100), c(0,1.5), type="n")
lines.variomodel(1:100,"wave", cov.pars=c(1, 5), nug=0.2)
which is also implemented by other packages
yes, as in:
library(gstat)
data(meuse)
coordinates(meuse)= c
Hey everyone,
I'm puzzled about a recent result, and I'm wondering if
anyone can help explain it. Essentially, I have a set of
data that is positively spatially autocorrelated (Moran's I
is highly significant). According to LM tests on the OLS
residuals, I find that the spatial lag model is pre
On Sun, 14 Dec 2008, Nicolas Meurisse wrote:
Hello,
After kriging with the use of the krige.conv function, I would like to
export my result under the grid format. In order to view it into a GIS.
It was suggested to me to use the writeGDAL function into the rgdal package.
However It looks l
Hello,
After kriging with the use of the krige.conv function, I would like to
export my result under the grid format. In order to view it into a GIS.
It was suggested to me to use the writeGDAL function into the rgdal
package. However It looks like I have a problem of supported formats
(data
