Summary and reflection
A brief review of this module
Take a minute to reflect on what you’ve just learnt
We’ve covered a lot of material in this module, and you’ve worked hard, so first of all, congratulate yourself on completing the module! 😃
In this module we looked at how to evaluate our candidate models, and decide whether to base our conclusions on the best model or the entire model set using model averaging
🤔 Reflection: Minute questions
Take one minute to reflect on and answer the following questions
Further resources
Selected papers on using AIC wisely and well:
- Arnold TW (2010) Uninformative parameters and model selection using Akaike’s Information Criterion. Journal of Wildlife Management 74(6):1175-1178. BioOne’s page for this paper, abstract only
- Symonds MRE & Moussalli A (2011) A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s Information Criterion. Behavioral Ecology and Sociobiology 65: 13-21 pdf on Symond’s own webpage
To learn about creating predictive maps, you can look at the unmarked vignette on Species distribution modelling. The same techniques can be applied to distance sampling results