Workshop Materials
Slides, R Scripts, and Video Recordings
This page contains links to all lecture slides, R coding scripts, and video recordings for the 2026 workshop.
Animal Movement Patterns & Behaviour
| Topic / Activity | Slides | R Code | Video |
|---|---|---|---|
| Session 1: Foundations of Movement Ecology | |||
| • Movement paradigm, telemetry systems & sampling design | Slides | — | Watch |
| • Hands-on: Track exploration, cleaning & processing | — | Script | Watch |
| Session 2: Space Use Estimation | |||
| • UDs, range distributions, KDE, dBBMM & AKDE theory | Slides | — | Watch |
• Hands-on: Individual & population space use in amt / ctmm |
— | Script | Watch |
| Session 3: Behavioural State Modelling | |||
| • State-space models (SSMs) & hidden Markov models (HMMs) | Slides | — | Watch |
• Hands-on: Fit SSMs (aniMotum) & HMMs (momentuHMM) |
— | Script | Watch |
Habitat Selection, Bayesian Inference & Machine Learning
| Topic / Activity | Slides | R Code | Video |
|---|---|---|---|
| Session 4: Environmental Data Access & Extraction | |||
| • Remote sensing, GEE & time-matched track annotation | Slides | — | Watch |
• Hands-on: Extract environmental covariates (terra / GEE) |
— | Script | Watch |
| Session 5: Species-Habitat Associations | |||
| • Theory of RSFs, SSFs, and integrated SSFs (iSSFs) | Slides | — | Watch |
• Hands-on: Fit RSF/SSF/iSSF models in amt & glmmTMB |
— | Script | Watch |
| Session 6: Bayesian Modelling for Inference | |||
• Bayesian workflows, brms, Stan, and INLA/inlabru |
Slides | — | Watch |
• Hands-on: Hierarchical & spatial RSFs using inlabru |
— | Script | Watch |
| Session 7: Machine Learning & Emerging Directions | |||
| • ML state classification, Random Forests & deep learning | Slides | — | Watch |