Applied Spatial and Spatio-Temporal Modelling using R-INLA

Do you work with marine mammal sightings, telemetry, or acoustic data? Ready to deepen your analysis with advanced spatial modelling techniques?

Join our 5-day Spatial and Spatio-Temporal Modelling using R-INLA course, designed for researchers working with complex spatial datasets—especially in marine ecology and conservation.

Course Dates: 22–26 September 2025
Instructor: Prof. Virgilio Gómez Rubio, author of Bayesian Inference with INLA

This course will give you practical experience in:

• Building spatial and spatio-temporal models using the R-INLA package

• Applying spatial models to presence-absence, density estimation, and environmental drivers

• Implementing best practices for reproducibility and interpretability

Why it's ideal for marine mammal researchers:

• Understand how to model spatial autocorrelation in sightings or acoustic detections

• Explore how Bayesian methods can improve inference for small or patchy datasets

• Learn to address data gaps, observation bias, and temporal dynamics.

This course is ideal for PhD students, postdocs, academics, and professionals working in marine mammal ecology, conservation, or spatial data analysis.

Limited places available – early booking is advised!