| dBGBvariance-class | R Documentation | 
The dynBGBvariance object stores the orthogonal and parallel variances calculated by the dynamic Bivariate Gaussian Bridge model, and is created within the dynBGBvariance function from a Move object. 
The window size used for dynBGBvariance calculation
The margin used for dynBGB calculation
The standard deviation values of the parallel variance values
The standard deviation values of the orthogonal variance values
The number of windows each location was included in
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
as.data.framesignature(object = "dBGBvarianceTmp"): extracts the spatial data frame
coordinatessignature(object = "dBGBvarianceTmp"): extracts the coordinates from the Move object contained in the dBGBvarianceTmp
dynBGBsignature(object = "dBGBvarianceTmp"): calculates the utilization distribution (UD) of the given track using the dynamic Bivariate Gaussian Bridge model
getMotionVariancesignature(object = "dBGBvarianceTmp"): extracts the estimated motion variance
linessignature(object = "dBGBvarianceTmp"): add lines of the track of the animal to a plot
pointssignature(object = "dBGBvarianceTmp"): add points of the track of the animal to a plot
plotsignature(object = "dBGBvarianceTmp"): plots the track of the animal
showsignature(object = "dBGBvarianceTmp"): displays summary the dBGBvarianceTmp object
summarysignature(object = "dBGBvarianceTmp"): summarizes the information of the raster from a dBGBvarianceTmp object
subsetsignature(object = "dBGBvarianceTmp"): subsets the dBGBvarianceTmp object
The dynBGBvariance object contains a .MoveTrackSingle and a dBGBvarianceTmp object which can be used to program against.
Bart Kranstauber & Anne Scharf
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