Image Credit: 2010 Jee & Rani Nature Photography, CC BY-SA 4.0, Image Cropped
This question comes from Marney Pratt (@marney_pratt) as she noted that a recent paper tracking trends in ecology papers shows the use of Bayesian statistics increasing over time. (Before we get going, if you want a refresher about what exactly Bayesian thought entails, check out this previous post.) Anderson et al. say:
If we write about our statistical methods behind our ecology work, and none of our readers understand it, have we really communicated at all?
This month I’m getting meta. It’s been about a year and a half since I started writing the Stats Corner for this blog with the goal of demystifying some of the statistical methods that are used by ecologists every day. At the same time, I’ve been writing a book with Deborah Nolan called “Communicating with Data: The Art of Writing for Data Science.” The book was released this spring, so it seemed like a good time to reflect on writing about statistics accessibly.
Image Credit: WomEOS, CC BY-SA 2.0, Image Cropped
I’ve written about fixed, mixed, and random effects in linear models before (and others have too) but I think it’s time to approach the topic with some ecology motivation. What do these different types of effects mean to us in the wild and when might we need to use one over the other? Read on to learn more!
Image Credit: Erik Karits, Pixabay licence, Image Cropped
Every once and awhile the term “ecological fallacy” gets thrown around to critique a particular study. Some Twitter discussion around this pre-print, which compares COVID-19 mortality to vegetable consumption at a country level, got me thinking about the term again. So let’s go through what it is, why it’s a problem, and why sometimes it can’t be avoided.
Image Credit: Bureau of Land Management, CC BY 2.0, Image Cropped
A common goal of ecologists is to understand the population abundance of a particular species. We might be looking for the California condor as part of assessing how well the recovery project is going. This requires some field work, going out to a variety of sites and counting animals that we see. How do we choose which sites to go to? Even in the era of camera traps, we still need to know where to put our extra set of eyes. It would be a shame to have a particular camera not get any action due to an unlucky placement. We don’t have infinite time and money after all!