dynBGB-methods: Calculation of the dynamic Bivariate Gausian Bridge
In move: Visualizing and Analyzing Animal Track Data

Description Arguments Author(s) References Examples

This function creates a utilization distribution according to the Bivariate Gaussian Bridge model. It returns an object of the class dynBGB-class.

`move`	the move object or variance object used for calculating the ud if a `.MoveTrackSingle` object is supplied this is converted into a `dBGBvariance` object using the `dynBGBvariance` function
`raster`	either the raster used for UD calculation or the resolution of the raster used for UD calculation
`locErr`	the location errors used for the calculation

Bart Kranstauber

Kranstauber, B., Safi, K., Bartumeus, F.. (2014), Bivariate Gaussian bridges: directional factorization of diffusion in Brownian bridge models. Movement Ecology 2:5. doi:10.1186/2051-3933-2-5.

data(leroy)
leroy <- leroy[230:265,]

## change projection method to aeqd and center the coordinate system to the track
dataAeqd <- spTransform(leroy, CRSobj="+proj=aeqd +ellps=WGS84", center=TRUE)

dBGB <- dynBGB(dataAeqd, locErr=9, raster=10, ext=2.15, windowSize=31, timeStep=6, margin=15)
plot(dBGB, col=hsv(sqrt(1:700/1000)))
lines(dataAeqd)