rlabel_local: rlabel_local

In onpoint: Helper Functions for Point Pattern Analysis

rlabel_local

Description

Local random labelling of marked point pattern

Usage

rlabel_local(X, distance, nsim = 19, drop = TRUE, verbose = TRUE)

Arguments

X	ppp
distance	Mark of points that do not change.
nsim	Number of patterns to simulate.
drop	If nsim = 1 and drop = TRUE , the result will be a point pattern, rather than a list containing a point pattern.
verbose	If TRUE warning messages are printed.

Details

Local random labelling function, i.e. marks will be shuffeld only across points within the specified local distance. Technically, this is achived by sampling the mark of a neighbouring point j within the distance d for the focal point i. Thus, the distance d must be selected in a way that each point has at least one neighbour within d.

Returns a list with ppp objects.

Value

list

References

Velázquez, E., Martínez, I., Getzin, S., Moloney, K.A., Wiegand, T., 2016. An evaluation of the state of spatial point pattern analysis in ecology. Ecography 39, 1–14. <https://doi.org/10.1111/ecog.01579>

Wiegand, T., Moloney, K.A., 2014. Handbook of spatial point-pattern analysis in ecology. Chapman and Hall/CRC Press, Boca Raton, USA. <isbn:978-1-4200-8254-8>

See Also

rlabel

Examples

set.seed(42)
pattern <- spatstat.random::runifpoint(n = 250, win = spatstat.geom::owin(c(0, 100), c(0, 100)))
spatstat.geom::marks(pattern) <- runif(n = 250, min = 10, max = 120)

rlabel_local(X = pattern, distance = 25, nsim = 19)

onpoint documentation built on March 7, 2023, 8:04 p.m.