MoveBurst: MoveBurst class

Description

The class MoveBurst is used to store the track of one individual with a categorical assignment to each segment. Every segment between two locations has a class of for example a behavioral category. A MoveBurst object is created with the functions burst and corridor.

Arguments

Slots

bbox: See Move-class
burstId: Id of the behavioral categorization assigned to each segment, one shorter then the number of locations.
citation: See Move-class
coords: See Move-class
coords.nrs: See Move-class
data: See Move-class
dataUnUsedRecords: See Move-class
dateCreation: See Move-class
idData: See Move-class
license: See Move-class
proj4string: See Move-class
sensor: See Move-class
sensorUnUsedRecords: See Move-class
study: See Move-class
timestamps: See Move-class
timestampsUnUsedRecords: See Move-class

Methods

angle: signature(object = "MoveBurst"): calculates angles between consecutive locations
as.data.frame: signature(object = "MoveBurst"): extracts the spatial data frame
brownian.bridge.dyn: signature(object = "MoveBurst"): calculates the utilization distribution (UD) of the given track using the dynamic Brownian Bridge Movement Model
brownian.motion.variance.dyn: signature(object = "MoveBurst"): calculates the motion variance of the dynamic Brownian Bridge Movement Model
burstId: signature(object = "MoveBurst"): returns the Id of the behavioral categorization assigned to each segment
citations: signature(object = "MoveBurst"): extracts or sets the citation
coordinates: signature(object = "MoveBurst"): extracts the coordinates from the track
corridor: signature(object = "MoveBurst"): identifies track segments whose attributes suggest corridor use behavior
distance: signature(object = "MoveBurst"): calculates distances between consecutive locations
dynBGB: signature(object = "MoveBurst"): calculates the utilization distribution (UD) of the given track using the dynamic Bivariate Gaussian Bridge model
dynBGBvariance: signature(object = "MoveBurst"): calculates the orthogonal and parallel motion variance of the dynamic Brownian Bridge Movement Model
equalProj: signature(object = "MoveBurst"): checks whether all objects of a list are in the same projection
hrBootstrap: signature(object = "MoveBurst"): calculates and plots the area of the Minimum Convex Polygon of a track
idData: signature(object = "MoveBurst"): returns or replaces the idData slot
interpolateTime: signature(object = "MoveBurst"): interpolates trajectories based on time
lines: signature(object = "MoveBurst"): add lines of the track of the animal to a plot
move2ade: signature(object = "MoveBurst"): converts to a adehabitat compatible object
n.locs: signature(object = "MoveBurst"): calculates number of locations
plot: signature(object = "MoveBurst"): plots the track of the animal
plotBursts: signature(object = "MoveBurst"): plots the centroids of a bursted track
points: signature(object = "MoveBurst"): add points of the track of the animal to a plot
seglength: signature(object = "MoveBurst"): calculates the length of each segment of a track
sensor: signature(object = "MoveBurst"): extracts the sensor(s) used to record the coordinates
show: signature(object = "MoveBurst"): displays summary the MoveBurst object
speed: signature(object = "MoveBurst"): calculates speed between consecutive locations
split: signature(object = "MoveBurst"): splits a MoveBurst into a list of Move objects
spTransform: signature(object = "MoveBurst"): transforms coordinates to a different projection method
summary: signature(object = "MoveBurst"): summarizes the information of MoveBurst object
subset: signature(object = "MoveBurst"): subsets the MoveBurst object
timeLag: signature(object = "MoveBurst"): calculates time lag between consecutive locations
timestamps: signature(object = "MoveBurst"): gets the timestamps associated to the coordinates
turnAngleGc: signature(object = "MoveBurst"): calculates angles between consecutive locations
unUsedRecords: signature(object = "MoveBurst"): returns the unUsedRecords object containing the data of the unused records

Author

Marco Smolla & Anne Scharf