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!* -- Oliver Hooker PhD. PR stats