IMR Workshop 2023

23–25 May 2023

sdmTMB:

https://CRAN.R-project.org/package=sdmTMB

https://github.com/pbs-assess/sdmTMB

https://pbs-assess.github.io/sdmTMB/index.html

Who we are:

• NOAA: Eric Ward, Lewis Barnett
• DFO: Sean Anderson, Philina English
• IMR: Kotaro Ono, Brian Stock
• SLU: Max Lindmark

Shared Google Docs notes and questions

https://docs.google.com/document/d/12ZVzOmjbBa8VVTK0tmaNEcN1eP93g6iagDM2c8sSsfo/edit?usp=sharing

Draft manuscript:

Original preprint

Updated draft

Exercises:

https://github.com/pbs-assess/sdmTMB-teaching/tree/main/imr-2023/exercises

Slides for Day 3 Exercise

Schedule:

3-day workshop from 9-12 (CET) - 09:00 - 10:30 : lecture (3 x 25 min) - 10:30 - 11:30: hands on exercises in groups (5-ish per group, also online) - 11:30 - 12:00: 30min feedback on exercise, Q&A

Day 1 lecture:

1. Introduction to random fields

2. Introduction to sdmTMB and families

3. Introduction to fitting spatial models

Day 2 lecture:

4. Troubleshooting and diagnostics

5. Spatiotemporal models

6. Model comparison

Day 3 lecture:

7. Index standardization

8. Building a prediction grid

9. Combining data from multiple surveys

10. Time and spatially varying models

GitHub folder for these slides:

https://github.com/pbs-assess/sdmTMB-teaching