I am trying to figure out the Ripley's K correlation between points for 5
replicates. What I am currently doing is determining the Kcross values for
each and taking a weighted mean to combine all the replicates into one
value. Now, what I need to do is determine whether or not this data is
If you mean Ripley's K (without correlation) and confidence
envelopes instead of CI, it is very easy with the function pool.envelope
in spatstat.
See the examples in help(pool.envelope)
Cheers,
Marcelino
Con fecha 29/5/2012, Alyssa W. Pontes awpon...@syr.edu escribió:
I am trying to figure
I have been able to use the envelope function for calculating the
individual K values, but I am combining them using a weighted average and
do not know how to make an envelope for the weighted mean combined K
values, which is what my question relates to.
-Alyssa
On Tue, May 29, 2012 at 3:23 PM,
Doesn't pool.envelope() work for you? If not, can you explain
in what respect it doesn't work?
cheers,
Rolf Turner
On 30/05/12 08:19, Alyssa W. Pontes wrote:
I have been able to use the envelope function for calculating the
individual K values, but I am combining them using a
This question relates to the pooling of estimates of the K-function from
separate point patterns (e.g. replicates of the same experiment
or observations of similar patterns in different survey regions). Alyssa wants
to obtain a pooled estimate of the true K-function (assuming all the
patterns
