dBGBvariance-class: 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.

Arguments

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.frame: signature(object = "dBGBvarianceTmp"): extracts the spatial data frame
coordinates: signature(object = "dBGBvarianceTmp"): extracts the coordinates from the Move object contained in the dBGBvarianceTmp
dynBGB: signature(object = "dBGBvarianceTmp"): calculates the utilization distribution (UD) of the given track using the dynamic Bivariate Gaussian Bridge model
getMotionVariance: signature(object = "dBGBvarianceTmp"): extracts the estimated motion variance
lines: signature(object = "dBGBvarianceTmp"): add lines of the track of the animal to a plot
points: signature(object = "dBGBvarianceTmp"): add points of the track of the animal to a plot
plot: signature(object = "dBGBvarianceTmp"): plots the track of the animal
show: signature(object = "dBGBvarianceTmp"): displays summary the dBGBvarianceTmp object
summary: signature(object = "dBGBvarianceTmp"): summarizes the information of the raster from a dBGBvarianceTmp object
subset: signature(object = "dBGBvarianceTmp"): subsets the dBGBvarianceTmp object

Author

Bart Kranstauber & Anne Scharf