Dear R-Sig-Geo Members,
I have the three hypothetical point process situation (A, B and C) and my
question is: What point distribution (B or C) is more close to A?
For this problem, I make a simple example:
library(spatstat)
set.seed(2023)
A <- rpoispp(30) ## First event
B <- rpoispp(30) ## Sec
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 i
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 a
