Fisheries Atlas - VLab5 Course
Welcome
This website brings together tutorials and courses on the Global Tuna Atlas (GTA) datasets, the related Shiny applications, and how to use VLab5 within the Blue-Cloud 2026 project.
Our aim is to help researchers, practitioners and decision-makers explore, analyse and reproduce global tuna fisheries workflows.
You will learn to:
- understand the structure and provenance of GTA datasets;
- run analyses reproducibly on VLab5;
- use GTA Shiny apps for exploration and QA/QC.
Acknowledgement. This work is part of Blue-Cloud 2026 and has received funding from the European Union’s Horizon Europe programme (Grant Agreement No 101094227).
Modules
Lesson 1 - Intro to Global Tuna Atlas
This lesson introduces the Global Tuna Atlas (GTA): its purpose, data levels (nominal, georeferenced, raised), and how it brings together datasets from all tuna RFMOs for global transparency and comparability.
Lesson 2 - Running R Workflows in VLab5
Here you will learn how to run reproducible R workflows inside VLab5, using tools like renv, and understand how GTA workflows ensure consistency and collaboration.
Lesson 3 - Exploring GTA Data via Shiny
This lesson shows how to explore GTA datasets with Shiny apps: filtering by species, fleet, or gear, visualizing catches and effort through maps and time series, and exporting results easily.
Reuse & license
Materials are open for reuse unless noted otherwise.