Dear R-users,
I'm trying to do some spatial simulation. I have two covariates, Z and C. I
want to examine their relationship under different spatial distribution.
I have no problem simulating completely spatial random process but I'm totally
stuck on poisson (cluster) pattern. I already have a dataset with Z and C
(obs=575) and I know the relationship between them. Using these 575 cases, how
can I simulate a clustered process and have a dataset that has four columns:
x-coor y-coor z c
I know I can use rpois or pcp.sim to generate points that clustered and then
use cbind to attach Z and C values. But the problem is my observations will not
be spatially clustered. How can I simulate so that now Z is spatially clustered?
Thanks!
K.
---------------------------------
[[alternative HTML version deleted]]
______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
