I have fitted a Log-Gaussian Cox Process on my data but when I tried 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 the window of
the ppp object?
Any suggestions?
Would you mind providing some addtional data/code for us to try and help?
Cheers,
Hi George,
Luiz answer sounds pretty much like the one you received from Rolf Turner on R help when you asked the same question on December 7:
http://r.789695.n4.nabble.com/Fwd-Simulation-of-spatial-Log-Gaussian-Cox-process-in-Spatstat-td4652515.html
My guess is that you will always receive the same answer. When it comes to errors, providing an example is essential. We need to be able to reproduce the error in order to help. Most of the time it is very difficult to help without.
Cheers,
Tito
Hi! I'm sorry I haven't provided any data/code! After I posted the same question on R help Rolf Turner asked for data and finally provided me with some workaround code for this problem.
The problem came up possibly after the RandomFields package was updated and some kind of incompatibillity occured with the GaussRF.
Finally the problem was solved in the 1.30-0 version of Spatstat and the simulations are running smoothly.
Thank you for your interest!
Cheers,
George
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