move2universe is home to a growing family of R packages for working with animal-tracking data: from the core data structure through sensor data, environmental annotation, and analysis utilities. They share one design principle — they operate directly on move2 track objects and preserve coordinate reference systems, track identifiers, timestamps, and metadata — so they compose into a single workflow rather than each demanding its own data format.

Package	What it does	Where
move2	The movement-data class — the foundation the rest build on.
move2utils	Utilisation distributions, corridor detection, and probability-based outlier cleaning.	GitHub
move2imu	Working with inertial / accelerometer (IMU) sensor data.	GitHub
move2env	Environmental annotation of tracks.	early development

New here? Start with move2 for the data structure, then add the packages you need. Links point to each package's current home; as the ecosystem consolidates, these will move under move2universe.

Beyond the code, move2universe is where we gather material to help you use these tools well:

• Vignettes & tutorials — worked examples ship with each package (e.g. browseVignettes("move2utils")), with longer-form teaching and learning material collected here over time.
• Help & discussion — questions, bug reports, and feature ideas are welcome on each package's issue tracker; broader community discussion and a shared wiki will grow here as the ecosystem does.

Maintainers & contributors

• Bart Kranstauber — University of Amsterdam · lead developer of move2
• Kamran Safi — Max Planck Institute of Animal Behavior & University of Konstanz
• Anne K. Scharf — Max Planck Institute of Animal Behavior & University of Konstanz
• Finn Roberts — Max Planck Institute of Animal Behavior