Code for a spatially interpolated integrated population model applied to simulations of spatially autocorrelated Greater Sage-Grouse (Centrocercus urophasianus) population data

This repository contains R code to:

1. Simulate spatially autocorrelated count and demographic data for 10 populations using mean and process variance estimates from a long-term (1938–2011), range-wide meta-analysis of Greater Sage-Grouse (Centrocercus urophasianus) population dynamics (Taylor et al., 2012).

2. Fit a spatially interpolated integrated population model (SIIPM) to the simulated data after removing demographic data from a single population.