Resources

This page is what was called a blogroll in the old days. Some of these resources aren’t about ecology, but something I particularly enjoy is when methods create unexpected bridges across disciplines. We face similar problems, just with different names and objects.

Blogs and personal sites

• The 100% CI for many good posts about causal inference and meta-science

• Statistical Modeling, Causal Inference, and Social Science: most of the posts are by Andrew Gelman, a big name in Bayesian statistics. He writes about anything he likes to, not just stats. I also enjoy the posts by other authors, especially by the ecologist Lizzie Wolkovich

• Solomon Kurz. Be sure to check out the book translations as well!

• Cecilia Baldoni, who helped me start this blog and has the most beautiful Quarto website

• Ruben Arslan for great posts about Bayesian statistics, R, and science

• Andrew Heiss: I didn’t expect a political scientist to give me so many nice examples of Bayesian models in R

• Danielle Navarro is very popular in the R community, and for good reason. Software, stats, and much more

Books

• Statistical Rethinking, 2nd ed., such a great book to learn more about statistical models and Bayes, or even just to refine one’s scientific approach. Calling it a methods book is reductive, calling it a science book is too vague. The writing is captivating, the approach is innovative. A convincing synthesis of Bayesian models and causality that has won me over

• Numerical Ecology, 3rd ed., a bit old fashioned, and I think there’s a bit too much focus on testing and significance, but still a staple collection of the fundamental numerical methods in ecology

Others

• SORTEE, the Society for Open, Reliable, and Transparent Ecology and Evolutionary biology. They do a lot of great activities to promote better and more open science in the field
• The Ecoinformatics working group of IAVS focuses on computation and databases. We also do webinars open to everyone on useful practical topics. Come say hi!