From tracking whale migration routes to mapping dolphin social ranges, spatial visualisation is essential for understanding marine mammal ecology.
In this five-day live online course, you’ll learn to transform raw spatial data into clear, compelling maps and graphics in R—ideal for research, conservation, and public communication.
Next Session: November 17–21, 2025 (Monday–Friday)
Duration: 5 days × ~8 hours/day = 40 hours total
Schedule: Live sessions in Portugal time (GMT+1); all sessions recorded for flexible access worldwide
Format: Interactive online classroom with lectures, coding exercises, participant data sessions, and peer collaboration
Marine mammal scientists, conservation biologists, and ecological researchers who:
Work with satellite/GPS tracking data from tagged individuals
Analyse sighting data for abundance and distribution mapping
Study habitat use and seasonal range shifts
Communicate spatial results to policymakers, stakeholders, and the public
No prior experience with R is required—everything is taught from the ground up.
Plot remote sensing data to visualise habitats
Map species distributions and density surfaces.
Explore temporal changes in habitat use with ridgeline and multivariate plots
Manage large datasets (e.g., years of acoustic detections or telemetry points) using scatterplots and hexagon binning
Create bivariate maps, cartograms, and overlap metrics to compare seasonal ranges or species interactions
Design accessible, colourblind-friendly graphics suitable for reports, publications, and outreach
Early bird (first 10 places): £430
Standard fee: £480
Hands-on practice: Apply methods to your own tracking or survey data
Expert-led instruction: Ecology-driven R training with a focus on visual communication
Flexible learning: Join live or learn later via recordings
Actionable outputs: Leave with reproducible R scripts and professional-quality figures
Visualise the movement, range, and habitat of animals with precision and impact—turn your spatial data into insights that drive research and conservation.
Questions? Email oliver@prstats.org Elevate your spatial ecology skills—visualise with precision, clarity, and accessibility using R.