Dear R-help list,

I'm using the excellent spatstat package to fit an inhomogeneous Matern
cluster point process model, but unfortunately I'm unable to simulate new
data points from the fitted object.

Specifically, I get the following error message:


Error in rthin(result, P) :
  some points of X lie outside the domain of image P

I've toyed around a bit, and apparently the error only occurs if the window
enclosing the analyzed point pattern is derived from a polygon, and the
fitted model is inhomogeneous (includes covariates). Moreover, whether the
error occurs appears to be dependent on some idiosyncrasies in the analyzed
point patterns, i.e., in the example provided below changing the random
seed will sometimes make the simulation work.

I'm using spatstat 1.37-0 with R 3.1.0 on a x86_64-w64-mingw32/x64 (64-bit)
machine.

Here's some reproducible code:

> require(spatstat)> set.seed(0)> > # Create an irregular window> poly.mat <- matrix(c(1,0,0.5,1,0,0), 3, 2, byrow=TRUE)> poly.owin <- owin(poly=poly.mat)> > # Generate Matern points> matern.ppp <- rMatClust(50, 0.05, 5, win=poly.owin)> > # Some distance function as a covariate> distorigin <- function(x, y) {+   sqrt(x^2 + y^2)+ }> > # No covariates: works fine> homogeneous.fit <- kppm(matern.ppp, ~ 1, clusters="MatClust") > matern.sim <- simulate(homogeneous.fit, retry=0)> > # Covariates: Simulation fails> inhomogeneous.fit <- kppm(matern.ppp, ~ distorigin, clusters="MatClust") > matern.sim <- simulate(inhomogeneous.fit, retry=0)Error in rthin(result, P) :
  some points of X lie outside the domain of image PWarning message:In
simulate.kppm(inhomogeneous.fit, retry = 0) :
  1 simulation was unsuccessful: returned as NULL


I'm fairly new to working with spatstat, so I might be missing something
very basic. Any ideas on what I'm doing wrong? Many thanks for your help
and best regards,

Philipp Hunziker
ETH Zurich

	[[alternative HTML version deleted]]

