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On 28 Aug 2020, at 02:17, ASANTOS via R-sig-Geo <r-sig-geo@r-project.org> wrote:

Dear R-Sig_Geo Members,

I'd like to find a more simple way to filtering a set of points in a
"ppp" object by minimum or maximum distance.

In my example using a ants ("ppp" object) in spatstat package:

#Packages
library(spatstat)
library(sp)

#Point process example
data(ants)
str(ants)
#- attr(*, "class")= chr "ppp"

#Computes the matrix of distances between all pairs of ants nests and
selection of more than 20 m distance neighborhood
ants.df<-as.data.frame(ants)
coordinates(ants.df) <- ~x+y
ants.dmat <- spDists(ants.df) #Calculate a distance matrix using spDists
min.dist <- 20 #distance range
ants.dmat[ants.dmat <= min.dist] <- NA # Na for less than 20 meters

Here yet I need to start a relative long code for identified columns
with NA in ants.dmat object, create a new data frame and than create a
new ppp object based in the coordinates and marks etc...

Is there any more easy way for create a new "ppp" object just only
specified a distance rule that filtering a set of points in a original
"ppp" object by minimum or maximum distance?

Thanks in advanced,

Alexandre

--
Alexandre dos Santos
Geotechnologies and Spatial Statistics applied to Forest Entomology
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