In 'Simulation to evaluate response of population models to annual trends in detectability', we provide data and R code necessary to create simulation scenarios and estimate trends with different population models (Monroe et al. 2019).
Literature cited: Monroe, A. P., G. T. Wann, C. L. Aldridge, and P. S. Coates. 2019. The importance of simulation assumptions when evaluating detectability in population models. Ecosphere 10(7):e02791. 10.1002/ecs2.2791, http://onlinelibrary.wiley.com/doi/10.1002/ecs2.2791/full.
Citation Information
| Publication Year | 2019 |
|---|---|
| Title | Simulation to evaluate response of population models to annual trends in detectability |
| DOI | 10.5066/P91L28PG |
| Authors | Adrian P Monroe, Greg Wann, Cameron (Contractor) Aldridge, Peter S Coates |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Fort Collins Science Center |