Distance sampling
Orientation
Theory & applications
R Basics
Analysis
Covariates
Use output
Wrap up analysis
Survey design
Re-assess poor models
Using output
Learning objectives
Alternative datasets
Summarise evidence
Assess model fit
Re-assess poor models
Evaluate covariates
Confidence intervals
Model selection strategy
Multi-model inference
Assignment
Summary and reflection
Re-assess poor models
Use c-hat and QAICc to deal with over-dispersion
Assess whether over-dispersion is a problem, and update your model comparison table
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Assess model fit
Evaluate covariates