dBMvariance: The dBMvariance class

Description

The dBMvariance object is created within the brownian.motion.variance.dyn function from a Move object.
The dBMvarianceStack object is created when a MoveStack is the input object.
The dBMvarianceBurst object when the input is a MoveBurst object.
These objects contain the motion variance calculated by the dynamic Brownian Bridge Movement Model.

Arguments

Slots

window.size: The window size used for dbbmm calculation
margin: The margin used for dbbmm calculation
means: The variance values
in.windows: The number of windows each location was included in
interest: Logical string, FALSE: segments have been omitted in the calculation since a lower number of estimates for variance are obtained for these segments. TRUE: segments included in the calculation
break.list: list of the locations of breaks found

Methods

as.data.frame: signature(object = "dBMvarianceTmp"): extracts the spatial data frame
brownian.bridge.dyn: signature(object = "dBMvarianceTmp"): calculates the utilization distribution (UD) of the given track using the dynamic Brownian Bridge Movement Model
coordinates: signature(object = "dBMvarianceTmp"): extracts the coordinates from the Move object contained in the dBMvarianceTmp
getMotionVariance: signature(object = "dBMvarianceTmp"): extracts the estimated motion variance
lines: signature(object = "dBMvarianceTmp"): add lines of the track of the animal to a plot
points: signature(object = "dBMvarianceTmp"): add points of the track of the animal to a plot
plot: signature(object = "dBMvarianceTmp"): plots the track of the animal
show: signature(object = "dBMvarianceTmp"): displays summary the dBMvarianceTmp object
summary: signature(object = "dBMvarianceTmp"): summarizes the information of the raster from a dBMvarianceTmp object
subset: signature(object = "dBMvarianceTmp"): subsets the dBMvarianceTmp object

Author

Marco Smolla & Anne Scharf