Hi all,
I am using "spatstat" to investigate the spatial structure of some plant
populations, and I want to detect these patters with IPP and a Thomas
process based on pair-correlation function. I know the function "pcfinhom"
is available to characterize the IPP, but I have no idea about how to use
the pcf with Thomas process? Additionally, generating simulation envelopes
using these two null models is another problem for me. Cramer-von Mises
(CvM) can assess the curve-wise significance of deviations from null
hypothese, but in the spatstat package, is there any functions can do this
work?
I am not very familiar with R, so my problem might be simple. I hope anyone
have any experience with these work can give me any assistance.
Many thanks
Jeff
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