revisitation: Calculate an revisitation distribution estimate

In ctmm: Continuous-Time Movement Modeling

Calculate an revisitation distribution estimate

Description

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

Usage

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(s)

C. H. Fleming.

See Also

akde, occurrence

Examples

# 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)

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

# Plot data with revisitation distribution
plot(DATA,RD)

ctmm documentation built on Sept. 24, 2023, 1:06 a.m.