Data Analysis in the context of Wildlife Management and Ecology (version 2)

Joe Thorley · 2019-10-31 · 1 minute read

This morning I gave my latest version of my presentation on Data Analysis in the context of Wildlife Management and Ecology to the Haida Gwaii Institute semester students.

It included probability, uncertainty, data, models, confidence intervals, significance and decision theory.

They had some great questions and interesting thoughts and were very engaging.

My presentation can be viewed at https://www.joethorley.io/slides/19-analysis-wildlife#1.

Based on some of the questions, I’ve updated the Further Reading list:

Further Reading

Amrhein, V., Greenland, S., and McShane, B. 2019. Scientists rise up against statistical significance. Nature 567(7748): 305–307. doi:10.1038/d41586-019-00857-9.

Bolam, F.C., Grainger, M.J., Mengersen, K.L., Stewart, G.B., Sutherland, W.J., Runge, M.C., and McGowan, P.J.K. 2019. Using the Value of Information to improve conservation decision making: Value of Information for conservation decisions. Biol Rev 94(2): 629–647. http://doi.org/10.1111/brv.12471.

Martin, T.G., Burgman, M.A., Fidler, F., Kuhnert, P.M., Low-Choy, S., Mcbride, M., and Mengersen, K. 2012. Eliciting Expert Knowledge in Conservation Science: Elicitation of Expert Knowledge. Conservation Biology 26(1): 29–38. http://doi.org/10.1111/j.1523-1739.2011.01806.x.

McElreath, R. 2016. Statistical rethinking: a Bayesian course with examples in R and Stan. CRC Press/Taylor & Francis Group, Boca Raton.

Williams, P.J., and Hooten, M.B. 2016. Combining statistical inference and decisions in ecology. Ecological Applications 26(6): 1930–1942. doi:10.1890/15-1593.1.