Occupancy Modelling for Species Distribution Data



Course Dates

Maximum number of participants / Credit Points

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Online via Zoom

19+20 November 2020
9:30 am - 3:00 pm

15 / 0.5 CP


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.


Dr. Diana Bowler

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.

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