Spaces are still available in this flexible, engaging, and intensive online training course. Get up to date on the latest techniques for managing, summarizing, analyzing and visualizing animal movement data in R using real datasets with lots of opportunities to interact directly with the instructor. A little less than 3 weeks remain to apply!
Website: https://smconservation.gmu.edu/programs/graduate-and-professional/animal_movement-ol/
Dates: October 20 – December 14, 2025
Cost: 500.00 USD (full scholarships available for eligible applicants)
Deadline: August 18, 2025
Description: This 8-week online course teaches the latest approaches for the summary and analysis of animal movement data in the R environment. Course material focuses on the application of these data to research questions involving home ranges, movement behavior, habitat selection, and connectivity. The goals of the course are to: 1) teach the core themes and concepts underpinning animal movement behavior and the determinants of animal space use; 2) familiarize participants with the range of tools available to import, clean, summarize, visualize and analyze animal movement data in R and; 3) expose participants to the challenges and potential biases inherent in movement data, and how to address them at the design and analytical stage. See the course webpage for a complete list of course topics. This is course is ideal for graduate students and professionals already familiar with how to interact with spatial data in R, but looking to apply those skills to more advanced analytical approaches specific to animal tracking data. Class lessons and exercises will use real animal tracking datasets, and will integrate tidyverse functions to maximize coding efficiency. Additional packages covered in the course include ctmm, amt, adehabitatLT, adehabitatHR, momentuHMM, gdistance and others.
Format: This course is taught in an asynchronous format over 8 weeks, with at least 2 weekly opportunities for live feedback and instructor interaction over Zoom. This format allows for maximum flexibility for participants juggling complicated work schedules, classes and other commitments.