| 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.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
Note
The dynBGBvariance object contains a .MoveTrackSingle and a dBGBvarianceTmp object which can be used to program against.
Author(s)
Bart Kranstauber & Anne Scharf