tracks.list: Tracks discretized and prepared for segmentation.
In bayesmove: Non-Parametric Bayesian Analyses of Animal Movement
Description
A dataset containing the prepared data after discretizing step lengths and
turning angles, as well as filtering observations at the primary time step.
Usage
1
Format
A list with three elements, each containing a data frame with ~4700
rows and 11 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
bayesmove documentation built on Oct. 22, 2021, 9:08 a.m.
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Description
A dataset containing the prepared data after discretizing step lengths and turning angles, as well as filtering observations at the primary time step.
Usage
1 |
Format
A list with three elements, each containing a data frame with ~4700 rows and 11 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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