tracks.seg: Segmented tracks for all IDs.
In bayesmove: Non-Parametric Bayesian Analyses of Animal Movement

A dataset containing the filtered track data with time segments assigned to all observations on an individual basis.

1	tracks.seg

A data frame with 14096 rows and 12 variables:

id: ID for each simulated track
date: date, recorded as datetime
x: x coordinate of tracks
y: y coordinate of tracks
step: the step length calculated as the distance between successive locations measured in units
angle: the relative turning angle measured in radians
dt: the time step or sampling interval between datetimes of successive observations
obs: the ordered number of observations per ID before filtering for the primary time step
time1: the ordered number of observations per ID after filtering for the primary time step
SL: discretized step lengths, separated into five bins
TA: discretized turning angles, separated into eight bins
tseg: time segment assigned to a given set of observations per ID