Previous workshops

Camera traps are widely used for studying terrestrial animal populations. Several methods exist for analysis of camera trap data to estimate animal abundance. Use of distance sampling theory for analysis of camera trap data does not require identification of individual animals to estimate abundance, making it applicable to a much larger set of species. This…

The Centre for Research into Ecological and Environmental Modelling (CREEM) is delivering an online workshop ‘introduction to distance sampling’ via live web conference. This workshop, in 10 meetings over two weeks, address the fundamentals of distance sampling.  We introduce the concept of a detection function, understand how to estimate probability of detection when detectability is…

The Centre for Research into Ecological and Environmental Modelling (CREEM) is delivering an online workshop ‘introduction to distance sampling’ via live web conference. This workshop, in 10 meetings over two weeks, address the fundamentals of distance sampling.  We introduce the concept of a detection function, understand how to estimate probability of detection when detectability is…

This workshop expands on the basic theory provided in our introductory workshops to demonstrate how our latest software can be used to generate optimal survey designs while respecting budgetary and logistical constraints. The workshop is 3 days in length with 1 day gap for self study. Register by 14 October.

28 and 31 October. In this two-day workshop, we cover survey protocols and analytical methods for dealing with both perception bias and availability bias. The workshop is intended for those already familiar with the basics of distance sampling. Register by 14 October.

Camera traps are widely used for studying terrestrial animal populations. Several methods exist for analysis of camera trap data to estimate animal abundance. This workshop, through lectures and computer exercises, provides training in survey design and the analysis of camera trap data to produce abundance estimates. Register by 30 September.

If so, consider taking the live online version of our distance sampling training.

Conventional distance sampling methods assume that all animals at zero distance are detected with certainty. However, in some situations this assumption is violated, and some animals are missed, causing a negative bias in the density and abundance estimates. This occurs on some shipboard surveys of marine mammals, for example, where animals may be missed on…

Does the following describe your situation? If so, take the live online version of our distance sampling training.

Use of distance sampling theory for analysis of camera trap data does not require identification of individual animals to estimate abundance, making it applicable to a much larger set of species. This workshop, through lectures and computer exercises, provides training in survey design and the analysis of camera trap data to produce abundance estimates.