Weeks 9 and 10

Zero-inflated models, Spatial GLMMs

Note that there is no lab on Wednesday due to the UMass Marine Science Symposium (all are welcome to attend).

Prepare

📖 Tue Mar 25:

• Reading: Chapter 11 of Zuur et al. 2009

📖 Thu Mar 27, Tue Apr 01:

• Reading: Anderson, S. C., Ward, E. J., English, P. A., & Barnett, L. A. (2022). sdmTMB: an R package for fast, flexible, and user-friendly generalized linear mixed effects models with spatial and spatiotemporal random fields. BioRxiv, 2022-03. https://doi.org/10.1101/2022.03.24.485545

Participate

🖥️ Lecture 14 slide deck

• Rmd with examples from the lecture
• Owls example, zero inflation using glmmTMB (Brooks et al. 2017)
  • paper with rationale for models by Bolker et al. (2012)
• Data sets can be found in the class-data folder.

🖥️ Lecture 15 motivating slide deck

• Rmd with examples from the lecture

• Spatial mixed effects models using sdmTMB lecture materials

  • acknowledgements: Eric Ward, Lewis Barnett, Sean Anderson

• NB: Here’s a bonus lecture on sdmTMB (recording from my Ecosystem models class, lecture by Dr. Eric Ward)

🖥️ (April 02) Lab 8 - working with spatial data in R

• slide deck for Lab 8 part 1

  • .qmd (code)

• slide deck for Lab 8 part 2

  • .Rmd (code)

• just the lab 8 exercises

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