Code for a spatially interpolated integrated population model applied to simulations of spatially autocorrelated Greater Sage-Grouse (Centrocercus urophasianus) population data
April 22, 2024
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.
Citation Information
| Publication Year | 2024 |
|---|---|
| Title | Code for a spatially interpolated integrated population model applied to simulations of spatially autocorrelated Greater Sage-Grouse (Centrocercus urophasianus) population data |
| DOI | 10.5066/P13W3VKC |
| Authors | Brian G Prochazka, Peter S Coates, Shawn T O'Neil |
| Product Type | Software Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Western Ecological Research Center - Headquarters |
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