DBBMM-class: The DBBMM class

In move: Visualizing and Analyzing Animal Track Data

The DBBMM class

Description

The DBBMM object is created within the brownian.bridge.dyn function from a Move or dBMvariance object. It contains a dBMvariance object and a raster with probabilities.

Slots

crs

part of the Raster-class

data

part of the Raster-class

DBMvar

Object of class "dBMvariance": includes the window.size, margin, means, in.windows, break.list, and points of interest

ext

the extension factor set by the user

extent

part of the Raster-class

file

part of the Raster-class

history

part of the Raster-class

legend

part of the Raster-class

method

stores the method that was used to calculate the utilization distribution (UD), e.g. dynamic Brownian Bridge

ncols

part of the Raster-class

nrows

part of the Raster-class

rotated

part of the Raster-class

rotation

part of the Raster-class

title

part of the Raster-class

z

part of the Raster-class

Methods

contour

signature(object = "DBBMM"): adds a contour line to a plot

emd

signature(object = "DBBMM"): quantifies similarity between utilization distributions

equalProj

signature(object = "DBBMM"): checks whether all objects of a list are in the same projection

getMotionVariance

signature(object = "DBBMM"): extracts the estimated motion variance

getVolumeUD

signature(object = "DBBMM"): modifies the UD raster

outerProbability

signature(object = "DBBMM"): calculates the animal occurrence probabilities at the border of the raster

plot

signature(object = "DBBMM"): plots the raster from a DBBMM object with re-size insensitive proportions

raster2contour

signature(object = "DBBMM"): converts a raster to contour lines

show

signature(object = "DBBMM"): displays summary the DBBMM object

summary

signature(object = "DBBMM"): summarizes the information of the raster from a DBBMM object

subset

signature(object = "DBBMM"): subsets the DBBMM object

Note

The DBBMM object contains a dBMvariance and a .UD object which can be used to program against.

Author(s)

Marco Smolla & Anne Scharf

move documentation built on July 9, 2023, 6:09 p.m.