David D. Hofmann

Have you ever tried to conduct a sensitivity analysis of your ecological models? Usually this involves running a model repeatedly using different parameters and investigating how predictions are influenced by varying different parameters. Doing this in R can be incredibly frustrating, especially when a large number of parameters are involved. Here, I will show you a relatively painless and simple workflow that will enable you to complete such analysis with clean and short code using tibbles from the tidyverse.

Camera trap studies usually deal with thousands of camera trap images that have to be organized and sorted. In this blog-post, I’m going to illustrate how you can use Microsoft’s MegaDetector to automatically detect animals in camera trap images. This can be very useful to automate the identification and removal of images that do not contain any animals.

Elevation data is a crucial element of many ecological studies. Unfortunately, collecting, cleaning, and stitching tiles from a digital elevation model is often tedious. Thus, I’ll show you how you can access elevation data straight from within R. In addition, you’ll learn how to derive terrain features and how to use the rayshader package, a package for beautiful 3d plots.