Dear r-sig Ecology members, I would like to share information about an upcoming online training course that may be of interest to members of this community: Introduction to Analysing Animal Movement with R Dates: 16–18 February (online)
Course website: [ https://www.physalia-courses.org/courses-workshops/mve-r/ ]( https://www.physalia-courses.org/courses-workshops/mve-r/ ) This 3-day course provides an introduction to analysing animal movement data using R. Participants will learn how to import, clean, and process movement datasets, identify outliers, compute fundamental movement metrics such as step lengths and directions, and conduct home-range analyses. The course concludes with an introduction to describing movement patterns using statistical distributions. The course combines lectures and hands-on coding sessions designed for participants with basic knowledge of R and RStudio, and some familiarity with GIS concepts. Example datasets and code will be provided, and participants are encouraged to bring their own movement data if available. Topics include: Importing and managing animal movement data Detecting and handling erroneous GPS fixes Calculating movement metrics: steps, turns, net squared displacement Home-range analysis and common estimators Working with data from multiple animals Describing movement patterns using statistical distributions For a deeper dive into animal movement ecology, we recommend the companion course: Habitat Selection of Animals from Telemetry Data with R Dates: 20-23 April (online) Course website: [ https://www.physalia-courses.org/courses-workshops/telemetry/ ]( https://www.physalia-courses.org/courses-workshops/telemetry/ ) A follow-up course focusing on advanced techniques and detailed statistical methods for analysing animal habitat selection using telemetry data. Best regards,Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
