brownian.motion.variance.dyn: Calculates the dynamic brownian motion variance

In move: Visualizing and Analyzing Animal Track Data

Calculates the dynamic brownian motion variance

Description

A function to calculate the dynamic brownian motion variance for a movement track. It can be also used by advanced programmers to program against.

Usage

  ## S4 method for signature '.MoveTrackSingle,numeric,numeric,numeric'
brownian.motion.variance.dyn(object, location.error, window.size, margin)

Arguments

object	a move, moveStack or moveBurst object can be used for variance calculation. This object must be in a flat coordinate system (projection different to longitude/latitude), use spTransform to transform your coordinates.
location.error	single numeric value or vector of the length of coordinates that describes the error of the location (sender/receiver) system in map units.
window.size	The size of the moving window along the track for the variance calculation. Larger windows provide more stable/accurate estimates of the brownian motion variance but are less well able to capture more frequent changes in behavior. This number has to be odd.
margin	The margin size used for variance calculation. This number has to be odd.

Value

'dBMvariance' object, if move object is provided
'dBMvarianceStack' object, if moveStack object is provided
'dBMvarianceBurst' object, if moveBurst object is provided

Author(s)

Bart Kranstauber & Anne Scharf

References

Kranstauber, B., Kays, R., LaPoint, S. D., Wikelski, M. and Safi, K. (2012), A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement. Journal of Animal Ecology. doi: 10.1111/j.1365-2656.2012.01955.x

See Also

brownian.bridge.dyn, linkdynBGBvariance

Examples

data(leroy)
data2 <- spTransform(leroy[1:80,], CRSobj="+proj=aeqd +ellps=WGS84", center=TRUE)
err<-rep(23.5,n.locs(data2))
dBMvar <- brownian.motion.variance.dyn(data2, location.error=err, margin=13, window.siz=31)
dBMvar

move documentation built on July 9, 2023, 6:09 p.m.