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amt (version 0.1.2)

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 selection functions and step-selection functions and integrated step-selection functions ), and simulation of space-use from fitted step-selection functions .

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Install

install.packages('amt')

Monthly Downloads

1,310

Version

0.1.2

License

GPL-3

Issues

Pull Requests

Stars

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Maintainer

Johannes Signer

Last Published

June 14th, 2020

Functions in amt (0.1.2)

amt_fisher

GPS tracks from four fishers
as_track

Coerce to track
available_distr

Display available distributions for step lengths and turn angles.
centroid

Calculate the centroid of a track.
append_x1

Append "_x1"
bbox

Get bounding box of a track.
amt-package

amt: Animal Movement Tools
coercion

Coerce a track to other formats.
convert_angles

Converts angles to radians
amt_fisher_lu

Landuse for fisher data
crs

Coordinate References System (CRS)
fit_clogit

Fit a conditional logistic regression
from_to

Duration of tracks
filter_min_n_burst

Filter bursts by number of relocations
distributions

Functions to work with distributions as objects
fit_logit

Fit logistic regression
extract_covariates

Extract covariate values
inspect

Inspect a track
fit_ctmm

Fit a continuous time movement model with ctmm
hr_to_sf

Convert
fit_distr

Fit distribution to data
od

Occurrence Distribution
reexports

Objects exported from other packages
dist_cent

Distance to center
remove_capture

Removes Capture Effects
distr_name

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

Time of the day when a fix was taken
transform_coords

Transform CRS
summarize_sampling_rate

Returns a summary of sampling rates
speed

Speed
hr_kde_ref_scaled

Select a bandwidth for Kernel Density Estimation
deer

Relocations of 1 red deer
habitat_kernel

Simulate UD from fitted SSF
steps

Functions to create and work with steps
simulate_ud_from_dk

Simulate a UD from a dispersal kernel
params

Get parameters from a (fitted) distribution
dispersal_kernel

Create a dispersal kernel
helper

Coordinates of a track.
hr_akde

Home ranges
hr_overlaps

Different Methods to calculate home-range overlaps
random_points

Generate random points
random_steps

Generate Random Steps
cum_ud

Calculate a cumulative UD
plot.log_rss

Plot a log_rss object
log_rss

Calculate log-RSS for a fitted model
plot_sl

Plot step-length distribution
track

Create a track_*
simulate_xy

Simulate a trajectory
site_fidelity

Test for site fidelity of animal movement.
track_methods

Track Methods
sh

Relocations of 1 red deer
movement_metrics

Movement metrics
track_align

Selects relocations that fit a new time series
sh_forest

Forest cover
track_resample

Resample track