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amt (version 0.0.8)

Animal Movement Tools

Description

Manage and analyze animal movement data. The functionality of 'amt' includes methods to calculate track statistics (e.g. step lengths, speed, or turning angles), prepare data for fitting habitat selection analyses (resource and step-selection functions), and simulation of space-use from fitted step-selection functions.

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Version

Install

install.packages('amt')

Monthly Downloads

1,058

Version

0.0.8

License

GPL-3

Issues

12

Pull Requests

0

Stars

42

Forks

13

Maintainer

Johannes Signer

Last Published

March 23rd, 2020

Functions in amt (0.0.8)

coercion

Coerce a track to other formats.
filter_min_n_burst

Filter bursts by number of relocations
bbox

Get bounding box of a track.
convert_angles

Converts angles to radians
amt-package

amt: Animal Movement Tools
distributions

Functions to work with distributions as objects
extract_covariates

Extract covariate values
centroid

Calculate the centroid of a track.
amt_fisher

GPS tracks from four fishers
crs

Coordinate References System (CRS)
fit_clogit

Fit a conditional logistic regression
deer

Relocations of 1 red deer
hr_to_sf

Convert
inspect

Inspect a track
fit_ctmm

Fit a continuous time movement model with ctmm
dispersal_kernel

Create a dispersal kernel
fit_distr

Fit distribution to data
fit_logit

Fit logistic regression
cum_ud

Calculate a cumulative UD
from_to

Duration of tracks
log_rss

Calculate log-RSS for a fitted model
movement_metrics

Movement metrics
as_track

Coerce to track
sh

Relocations of 1 red deer
available_distr

Display availabel distributions for step lengths and turn angles.
od

Occurrence Distribution
reexports

Objects exported from other packages
dist_cent

Distance to center
time_of_day

Time of the day when a fix was taken
remove_capture

Removes Capture Effects
track

Create a track_*
transform_coords

Transform CRS
track_resample

Resample track
random_points

Generate random points
habitat_kernel

Simulate UD from fitted SSF
params

Get parameters from a (fitted) distribution
simulate_ud_from_dk

Simulate a UD from a dispersal kernel
random_steps

Generate Random Steps
simulate_xy

Simulate a trajectory
speed

Speed
sh_forest

Forest cover
track_align

Selects relocations that fit a new time series
distr_name

Name of step-length distribution and turn-angle distribution
track_methods

Track Methods
helper

Coordinates of a track.
hr_akde

Home ranges
plot.log_rss

Plot a log_rss object
plot_sl

Plot step-length distribution
steps

Functions to create and work with steps
summarize_sampling_rate

Returns a summary of sampling rates
amt_fisher_lu

Landuse for fisher data
append_x1

Append "_x1"