Try:
mypanel = function(x,y,...) {
vgm.panel.xyplot(x,y,...)
panel.lines(variogramLine(vgm2,1500))
}
require(gstat)
g = gstat(formula = log(zinc)~1, data = meuse)
v = variogram(log(zinc)~1,meuse)
vgm1 = fit.variogram(v,vgm(1, "Sph", 900,1))
vgm2 = fit.variogram(v,vgm(1, "Exp", 300,1))
print(plot(v, model=vgm1 ,panel=mypanel))
--
Edzer
Timothy W. Hilton wrote:
Hello,
Using gstat, I would like to overlay several different variogram
models onto a single empirical semivariogram. I am having trouble
mastering the necessary lattice plotting commands. Using an example
from this list (or maybe the docs for gstat; I'm not sure):
mypanel = function(x,y,...) {
vgm.panel.xyplot(x,y,...)
}
require(gstat)
g = gstat(formula = log(zinc)~1, data = meuse)
v = variogram(log(zinc)~1,meuse)
vgm1 = fit.variogram(v,vgm(1, "Sph", 900,1))
vgm2 = fit.variogram(v,vgm(1, "Exp", 300,1))
print(plot(v, model=vgm1 ,panel=mypanel))
This plots the variogram with vgm1. I would now like to overlay vgm2,
in a different color. I have tried many variations on making model a
list, or trying to write a panel function that will plot the
variogram, then both models sequentially, but I can't get anything to
work.
Many thanks for any help,
Tim
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--
Edzer Pebesma
Institute for Geoinformatics (ifgi), University of Münster
Weseler Straße 253, 48151 Münster, Germany. Phone: +49 251
8333081, Fax: +49 251 8339763 http://ifgi.uni-muenster.de/
http://www.springer.com/978-0-387-78170-9 e.pebe...@wwu.de
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