sdmTMB-teaching

DFO TESA Workshop 2023

January 16–19 2023

sdmTMB:

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

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

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

DFO-specific install instructions

https://github.com/pbs-assess/sdmTMB-teaching/blob/main/dfo-tesa-2023/00-install.Rmd

Shared Google Docs notes and questions

https://docs.google.com/document/d/1JScvWtNWrJUfMrUvDZMzWhTUXqsLZSyiN2ULZdaihZk/edit#

Draft manuscript:

Original preprint

Updated draft

Exercises:

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

Slides:

1. Introduction to random fields

2. Introduction to sdmTMB

3. Pacific Cod spatial example

4. Pacific Cod spatiotemporal example

5. Comparing models

6. Families

7. Time-varying coefficients

8. Spatially varying coefficients

9. Index standardization

10. Forecasting

11. Physical barriers

12. Priors and bounds

13. Presence-only models

14. Troubleshooting, tips, and tricks

GitHub folder for these slides:

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

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