# The dynBGBvariance class

`dBGBvariance-class.Rd`

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.

## Note

The `dynBGBvariance`

object contains a `.MoveTrackSingle`

and a `dBGBvarianceTmp`

object which can be used to program against.

## 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