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trackdf  

Data Frame Class for Tracking Data
View on CRAN: Click here


Download and install trackdf package within the R console
Install from CRAN:
install.packages("trackdf")

Install from Github:
library("remotes")
install_github("cran/trackdf")

Install by package version:
library("remotes")
install_version("trackdf", "0.3.3")



Attach the package and use:
library("trackdf")
Maintained by
Simon Garnier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-03
Latest Update: 2024-01-29
Description:
Data frame class for storing collective movement data (e.g. fish schools, ungulate herds, baboon troops) collected from GPS trackers or computer vision tracking software.
How to cite:
Simon Garnier (2019). trackdf: Data Frame Class for Tracking Data. R package version 0.3.3, https://cran.r-project.org/web/packages/trackdf. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:14), 0.2.0 (2019-08-03 09:00), 0.2.1 (2019-08-04 16:20), 0.2.2 (2021-01-13 12:50), 0.3.0 (2023-01-10 22:40), 0.3.1 (2023-01-23 01:50), 0.3.2 (2023-03-25 22:50)
Other packages that cited trackdf R package
View trackdf citation profile
Other R packages that trackdf depends, imports, suggests or enhances
Complete documentation for trackdf
Functions, R codes and Examples using the trackdf R package
Some associated functions: bind_tracks . conversions . dot-Mode . dot-reclass . dplyr_track . duplicated_data . filter . inconsistent_data . is_geo . is_track . missing_data . n_dims . n_tracks . projection . short_tracks . sub-.track . track_ . tracks . 
Some associated R codes: conversions.R . data.R . errors.R . tidyverse.R . track.R . utils.R .  Full trackdf package functions and examples
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