Tuesday
READING: CHAPTER 7 CONROY AND CARROLL (2009)
Basics of occupancy estimation and modeling
Rationale for occupancy analysis
Structure of occupancy data
Basic sampling design
Essentials of estimation and model comparison (likelihood, AIC, MMI)
Single-season occupancy estimation
Homogeneous detection
Detection varying by samples
Using R -unmarked to estimate occupancy under the basic design
Using R to simulate sample sizes needed for single-season occupancy studies
R script for sample size approximation
Thursday
Reading- Royle-Nichols models and Royle count models
Modeling site heterogeneity in detection and occupancy
Using R to simulate sample sizes needed for multi-season occupancy studies
Files --Sample size simulation