| dBGBvariance-class {move} | R Documentation |
The dynBGBvariance class
Description
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.
Slots
- windowSize
The window size used for dynBGBvariance calculation
- margin
The margin used for dynBGB calculation
- paraSd
The standard deviation values of the parallel variance values
- orthSd
The standard deviation values of the orthogonal variance values
- nEstim
The number of windows each location was included in
- segInterest
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
Methods
as.data.framesignature(object = "dBGBvarianceTmp"): extracts the spatial data framecoordinatessignature(object = "dBGBvarianceTmp"): extracts the coordinates from the Move object contained in the dBGBvarianceTmpdynBGBsignature(object = "dBGBvarianceTmp"): calculates the utilization distribution (UD) of the given track using the dynamic Bivariate Gaussian Bridge modelgetMotionVariancesignature(object = "dBGBvarianceTmp"): extracts the estimated motion variancelinessignature(object = "dBGBvarianceTmp"): add lines of the track of the animal to a plotpointssignature(object = "dBGBvarianceTmp"): add points of the track of the animal to a plotplotsignature(object = "dBGBvarianceTmp"): plots the track of the animalshowsignature(object = "dBGBvarianceTmp"): displays summary the dBGBvarianceTmp objectsummarysignature(object = "dBGBvarianceTmp"): summarizes the information of the raster from a dBGBvarianceTmp objectsubsetsignature(object = "dBGBvarianceTmp"): subsets the dBGBvarianceTmp object
Note
The dynBGBvariance object contains a .MoveTrackSingle and a dBGBvarianceTmp object which can be used to program against.
Author(s)
Bart Kranstauber & Anne Scharf