revisitation {ctmm} | R Documentation |
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 |
UD |
A |
debias |
Correct for oversmoothing. |
error |
Target probability error. |
... |
Arguments passed to |
Value
Returns a UD
object.
Author(s)
C. H. Fleming.
See Also
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)
[Package ctmm version 1.2.0 Index]