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An Introduction to Hierarchical Modeling
and Inference in Ecology using unmarked

Andy Royle and Richard Chandler

USGS Patuxent Wildlife Research Center

January 2012
Webinar

This two-day webinar covered the basic functionality of the R package unmarked. Emphasis was on single-season and multi-season site occupancy models, distance sampling models, removal models, and N-mixture models. Descriptions of each model were presented in slides, which were followed by step-by-step guidance through a series of examples in R. More information can be found here:

https://sites.google.com/site/unmarkedinfo/home/webinars/2012-january

Day 1

Overview of hierarchical models for inference about abundance and occurrence. Overview of unmarked functionality and scope. Coverage of occupancy models and N-mixture models and their relationship to generalized linear models. (Windows Media Video)

Day 2

Topics included estimating density and mapping species distributions using distance sampling data, fitting removal models, and fitting open population models to detection/non-detection data or count data. (Windows Media Video)

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