Kinhom.Track: Inhomogeneous K-function for trajectory pattern

In trajectories: Classes and Methods for Trajectory Data

Inhomogeneous K-function for trajectory pattern

Description

Estimate the variability area of K-function of a list of tracks.

Usage

Kinhom.Track(X,timestamp,
                correction=c("border", "bord.modif", "isotropic", "translate"),q,
                sigma=c("default","bw.diggle","bw.ppl"," bw.scott"),...)

Arguments

X	A list of Track objects
timestamp	based on secs,mins,...
correction	the type of correction to be used in computing K-function
q	(optional) a numeric value between 0 and 1. quantile to be applied to calculate the variability area
sigma	method to be used in computing intensity function
...	passed to the arguments of Kinhom

Details

This calculates the variability area of K-function over time. If sigma=default, it calculates the variability area using the defaults of Kinhom, otherwise it first estimate the intensity function using the given sigma as bandwidth selection method and then using the estimated intensity function, it estimates the variability area.

Value

an object of class "KTrack".

Author(s)

Mohammad Mehdi Moradi <[e-mail]>

See Also

rTrack, as.Track.ppp, Kinhom

Examples

if (require(spatstat)) {
X <- list()
for(i in 1:50){
  m <- matrix(c(0,10,0,10),nrow=2,byrow = TRUE)
  X[[i]] <- rTrack(bbox = m,transform = TRUE)
}
Kinhom.Track(X, timestamp = "180 secs")
}

trajectories documentation built on Nov. 28, 2023, 1:10 a.m.