On 08/12/12 07:35, George Limitsios wrote:
Hello,
I have fitted a Log-Gaussian Cox Process on my data but when I try to
use simulate.kppm of the spatstat package I get this error:
Error in rLGCP(model = model, mu = mu, param = param, ..., win = win) :
The spatial domain of the pixel image ‘mu’ does not cover the
simulation window ‘win’
I've used covariates as im, changed the npixel value of the spatstat
options to match the dimensions of the covariates images, but the
problem keeps showing up.
Maybe it has something to do with the irregular owin used as window of
the ppp object?
An irregular window should not cause any problem.
Can you supply a reproducible example --- including a pattern
(object of class ppp) and the image (object of class im) that
you use as a covariate?
Then I can look into the problem.
I tried using simulate.kppm() on a toy example of a fit to an
inhomogeneous log Gaussian Cox process (with a polygonal window)
just now, and it seemed to work just fine.
cheers,
Rolf Turner
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