Day 1

• Introductions & housekeeping
• An introduction to animal populations
• Sampling methods
• Problems when sampling mobile and cryptic animals
• Spatially explicit data
• Practical exercise: generating data with the “SECD game”
• Statistical concepts 1
• Overview of software (CAPTURE, MARK, RMark, Presence, Density, secr, SPACECAP, unmarked)

Day 2

• Introduction to program Density
• Spatially explicit capture–recapture theory
• Using Density to fit an SECR model
• Statistical concepts 2
• Introduction to R

Day 3

• Package ‘secr’
• Model specification
• Habitat masks
• Checks on model suitability
• Simulating spatial data

Day 4

• Multi-session models
• Bayesian approaches to SECR
• Study design
• Unusual data types

Day 5

• More on study design
• Exploring own datasets
• Other topics by request