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 us
Hi all,
I am using "spatstat" to investigate the spatial structure of some plant
populations, but I have no idea about detecting the spatial point pattern
with Thomas process based on pcf. Additionally, generating simulation
envelope using this null model is another problem for me. I am not very
f
Hi all,
When I detect the spatial point pattern, I want to use the Cramer-von Mises
statistic to assess the curve-wise significance of deviations from null
hypotheses. Who can tell me which function in R package "Spatstat" can do
this work?
Thanks a lot
Jeff
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Hi all,
While useing the R package "Spatstat" to detect the spatial point pattern of
my data, I met a problem. When I computes simulation envelopes with a
fitted point process model: Poisson cluster (Thomas) process
(kappa=2.751010e-05; sigma=5.634274e+01; mu=4.943639e+02), I cannot get the
high
Hi all,
I know Chi-squared test can be done with the frequency data by R function
"chisq.test()", but I am not sure if it can be applied to the percentage
data ? The example of my data is as follow:
#
KSL MHL MWS CLGC
Hi all,
I know Chi-squared test can be done with the frequency data by R function
"chisq.test()", but I am not sure if it can be applied to the percentage
data ? The example of my data is as follow:
#
KSL MHL MWS CLGC
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