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 adequate spatial approach for comparing if on
average the event B or C is more close to A. For this, I try to make:
AB<-superimpose(A,B)
ABd<-pairdist(AB)
AC<-superimpose(A,C)
ACd<-pairdist(A)
mean(ABd)
#[1] 0.5112954
mean(ACd)
#[1] 0.5035042
With this naive approach, I concluded that event C is more close of A
that B. This sounds enough for a final conclusion or more robust
analysis is possible?
Thanks in advance,
Alexandre
--
Alexandre dos Santos
Geotechnologies and Spatial Statistics applied to Forest Entomology
Instituto Federal de Mato Grosso (IFMT) - Campus Caceres
Caixa Postal 244 (PO Box)
Avenida dos Ramires, s/n - Distrito Industrial
Caceres - MT - CEP 78.200-000 (ZIP code)
Phone: (+55) 65 99686-6970 / (+55) 65 3221-2674
Lattes CV: http://lattes.cnpq.br/1360403201088680
OrcID: orcid.org/0000-0001-8232-6722
ResearchGate: www.researchgate.net/profile/Alexandre_Santos10
Publons: https://publons.com/researcher/3085587/alexandre-dos-santos/
--
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