High and dry: Environmental conditions drive opportunities for disease transmission in desert bighorn sheep.

This repository contains processed data and analytical code supporting the manuscript "High and dry: Environmental conditions drive opportunities for disease transmission in desert bighorn sheep" by Meza et al. The dataset includes association index metrics, environmental covariates (NDVI, temperature, precipitation) per population and month, as well as derived variables from GPS tracking of 123 desert bighorn sheep across eight populations in the Mojave Desert (November 2020 to November 2021).

The repository provides: (1) processed contact strength matrices and network statistics for three temporal scales (10-day, 18-day, and 42-day networks); (2) population-level environmental data extracted from MODIS, PRISM, and SRTM sources; (3) R code for Bayesian zero-inflated beta regression models using brms; (4) network analysis scripts using igraph; and (5) data visualisation and statistical analysis scripts.

Raw GPS coordinates are not included due to species protection requirements. Processed data preserves analytical utility while protecting sensitive location information. 

v2: Added zero-inflation parameter to final accepted model; removed hardcoded file paths from all R scripts; added full coauthor list