Thank you Jon!
In fact, that's how I thought it worked.
And that's how it worked for me all the time!
But recently, doing some manual checks on some indices I couldn't
confirm it ...
I tried to replicate the problem and my workflow with test data
Leonidas,
I see that you are not happy with the output, but it is not so clear what you
actually expect to see.
If you use stackApply directly, the indices are used in the names. Layer 1 and
8 belong to the group with index 4. It is the first group in the list of
indexes, so the first layer
Hi,
Great question, and clear example.
The first problem:
ACd<-pairdist(A) instead of ACd <- pairdist(AC)
BUT
pairdist() is the wrong function: that calculates the mean distance
between ALL points, A to A and C to C as well as A to C.
You need crossdist() instead.
The most flexible approach
Dear R-Sig-Geo Members,
I have the hypothetical point process situation:
library(spatstat)
set.seed(2019)
A <- rpoispp(100) ## First event
B <- rpoispp(50) ## Second event
C <- rpoispp(50) ## Third event
plot(A, pch=16)
plot(B, col="red", add=T)
plot(C, col="blue", add=T)
I've like to know an
