BIOL 6980: Wildlife Statistics and Analysis in Probram R
Anticipated schedule for BIOL 6980: Wildlife Statistics and Analysis in Probram R.
| Week (dates) | Lecture topic | Lab topic | Reading |
|---|---|---|---|
| Unit 1: Foundations of Bayesian inference | |||
| 1 (Jan. 19 & 21) | Intro to WILD6900 and statistical modeling in ecology | Projects and directories/ Intro to R Markdown | H&H chp. 1 |
| 2 (Jan. 26 & 28) | Probability models and stochasticity | Manipulating, tidying, & visualizing data in R | H&H chp. 2-3 |
| 3 (Feb. 2 & 4) | Principles of Bayesian inference | Data simulation techniques/Informative priors | H&H chp. 5 |
| 4 (Feb. 9 & 11) | Implementing Bayesian models: MCMC samplers and JAGS | Building simple samplers in R | H&H chp. 7 |
| 5 (Feb. 16 & 18) | Generalized linear models | Introduction to JAGS/Regression analysis using JAGS | H&H chp. 6, K&S chp. 3 |
| 6 (Feb. 23 & 25) | Generalized linear models (cont.)/Hierarchical models | Poisson GLMM for count data | K&S chp. 3 & 4 |
| Unit 2: Abundance and occupancy | |||
| 7 (Mar. 2 & 4) | Estimating indices abundance from count data | State-space models | K&S chp. 5 |
| 8 (Mar. 9 & 11) | Estimating abundance from count data | Basic N-mixture model & variations | K&S chp. 12 |
| 9 (Mar. 16 & 18) | Estimating occupancy from presence/absence data | Static and dynamic occupancy models | K&S chp. 13 |
| 10 (Mar. 23 & 25) | Estimating abundance: Closed-population capture-mark-recapture | M0, Mt, Mb, Mh models |
|
| 11 (Mar. 30 & Apr. 1) | Estimating survival: Open-population capture-mark-recapture | Cormack-Jolly-Seber models | K&S chp. 6 |
| 12 (Apr. 6 & 8) | Estimating abundance and survival: Open-population capture-mark-recapture | Jolly-Seber models | K&S chp. 7 |
| 13 (Apr. 13 & 15) | Multi-state models | Estimating movement rates using multi-state models | K&S chp. 10 |
| Unit 3: Advanced models | |||
| 14 (Apr. 20 & 22) | TBD | K&S chp. 9 | |
| 15 (Apr. 27 & 29) | TBD | ||