Calculate an revisitation distribution estimate

This function estimates the distribution of revisitations from telemetry data and a continuous-time movement model.

revisitation(data,UD,debias=TRUE,error=0.001,...)

Arguments

data

2D timeseries telemetry data represented as a telemetry object or list of objects.

UD

A UD object from the output of akde.

debias

Correct for oversmoothing.

error

Target probability error.

...

Arguments passed to akde.

Value

Returns a UD object.

Author

C. H. Fleming.

See also

akde, occurrence

Examples

# \donttest{
# Load package and data
library(ctmm)
data(buffalo)
DATA <- buffalo$Cilla

# calculate fit guess object
GUESS <- ctmm.guess(DATA,interactive=FALSE)
# in general, you should be running ctmm.select here instead of ctmm.fit
FIT <- ctmm.fit(DATA,GUESS)

# Compute akde object
UD <- akde(DATA,FIT)
#> Default grid size of 3 minutes chosen for bandwidth(...,fast=TRUE).

# compute revisitation distribution
RD <- revisitation(DATA,UD)

# Plot data with revisitation distribution
plot(DATA,RD)
#> DOP values missing. Assuming DOP=1.

# }