Occupancy Modelling for Species Distribution Data
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Contents
Occupancy models are a tool to analyze species occurrence data and especially to account for imperfect detection (primarily false absences). Since most sorts of data – whether standardized or not – is affected by imperfect detection, they have broad applications in species distribution modelling.
In this 2-day course, we will learn the principles of occupancy modelling by simulation and analysis of real-world data. We will learn how to use standard R packages (“unmarked”) as well as more flexible (but more complex) models using JAGS.
Beyond the basic, we will consider also dynamic occupancy models to study change over time, multi-scale problems and multi-species models to study community dynamics.
Lecturer
is a population ecologist who works with all sorts of population and community data to understand biodiversity change. She is using occupancy models for many questions, especially involving citizen science data.
