Data from: Group density, disease, and season shape territory size and overlap of social carnivores

Here we provide the R code (as R Markdown documents) used to analyze variables predicting group-level territory size and overlap for Serengeti lions and Yellowstone wolves. We show the structure of the datasets, interpretation of the code, and summaries of the Serengeti lion and Yellowstone wolf metadata. We also provide the code for our generalized additive models (GAM) and model outputs. Specifically, 'Wolf_Datasets_Markdown.doc' demonstrates how we created the final dataset used in our GAMs from the raw locational data for Yellowstone wolves. This is where we parse down the data used, calculate certain network measures (e.g., degree), and estimate spatial measures (e.g., territory size). 'GAM_Markdown.doc' provides the code for our machine-learning imputations and exploration, GAMs and GAM outputs (e.g., model fit), and model selection.