[R] Spatstat: Mark correlation function

[AMFTom]

I normally use the following code to create a figure displaying the mark
correlation function for the point pattern process "A":

M<-markcorr(A)
plot(M)

I have now started to use the following code to perform 1000 Monte Carlo
simulations of Complete Spatial Randomness (CSR).  It is a Monte Carlo test
based on envelopes of the Mark correlation function obtained from simulated
point patterns, normally used for Ripley's K:

ME<-envelope(A, markcorr, nsim = 1000)

And I produce the figure below.

My question is: Is this a justified use of nsim if the envelope is based on
simulations of CSR? Or should I display the Mark correlation function
without the envelopes?


<http://r.789695.n4.nabble.com/file/n4650579/MARKCORR_FOR_R_FORUM.png> 

Thanks,

Tom



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