Description Details Objects from the Class Slots Extends Methods Author(s) References See Also Examples

The `MoveBB`

object contains at least time and coordinate information of an animal, along with location variance for each relocation and information about the diffusion coefficient. It can contain further data as for class `Move`

.

The main way in which `MoveBB`

extends `Move`

is that it provides explicit support for location uncertainty, e.g. using the Brownian bridge movement model (BBMM).
In particular, every relocation has not only a position and a timestamp, but also stores the variance of the location, e.g. GPS error.
Further, an object of type `MoveBB`

stores the *diffusion coefficient* of the Brownian motion, or a similar parameter for other movement models.
The diffusion coefficient is allowed to vary with time and is therefore modeled as a function that maps time to the value of the diffusion coefficient. The default estimation function just computes a constant.

Objects can be created by calls of the form `new("MoveBB", ...)`

.

- idData
Object of class

`"data.frame"`

: additional (one row) data;- dateCreation
Object of class

`"numeric"`

: time stamp when the file was downloaded;- study
Object of class

`"character"`

: name of the study;- citation
Object of class

`"character"`

: how to cite the study;- license
Object of class

`"character"`

: the license under which the data were published;- timesMissedFixes
Object of class

`"POSIXct"`

: stores the timestamps of lines of the data set that were removed because they included NA locations- bbox
belongs to the SpatialPointsDataFrame

- coords
coordinates of the track, belongs to the SpatialPointsDataFrame

- coords.nrs
belongs to the SpatialPointsDataFrame

- data
additional data of that object that is stored in the SpatialPointsDataFrame

- proj4string
projection of the coordinates

- timestamps
timestamps according to the coordinates

`variance`

:location variance for each relocation

`diffusion`

:function providing diffusion coefficient over time

Class `"Move"`

- [
`signature(x = "MoveBB", i = "ANY", j = "ANY")`

: Select specific relocations- diffusionCoefficient
`signature(tr = "MoveBB")`

: Optimize diffusion coefficient for trajectory- position
`signature(object = "MoveBB", time = "numeric")`

: Compute position distribution at given times- velocity
`signature(object = "MoveBB", time = "numeric", time.scale = "numeric")`

: Compute velocity distribution at given times- utilizationDistribution
`signature(object = "MoveBB", raster = "RasterLayer", timestepSize = "numeric")`

: Compute utilization distribution for trajectory- speedDistribution
`signature(object = "MoveBB", raster = "RasterLayer", timestepSize = "numeric", time.scale = "numeric")`

: Compute spatial distribution of expected speed

Stef Sijben

Horne, J., Garton, E., Krone, S. and Lewis, J. Analyzing animal movements
using Brownian bridges. *Ecology 88*, 9 (2007), 2354–2363.

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