[MARMAM] Workshop registration open: Mark-recapture distance sampling, 24-25th August 2020

Len Thomas len.thomas at st-andrews.ac.uk
Fri Jun 26 08:50:44 PDT 2020

Mark recapture distance sampling training workshop

Registration is now open for our latest online interactive training 
workshop, on mark-recapture distance sampling.  Join us by video from 
anywhere around the world!  For full details, and to register, please go to


Workshop Overview

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 the trackline because they are underwater while the survey 
vessel passes, or because the sea conditions are rough so that even some 
animals right on the line are missed.  The former (being underwater and 
so not available for detection) is often called availability bias and 
the latter perception bias.

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.


Len Thomas and David Borchers
Centre for Research into Ecological and Environmental Modelling
University of St Andrews


24th and 25th August 2020

17:00-19:30 British Summer Time // 12:00-14:30 Eastern Daylight Time 
(EDT) // 09:00-11:30 Pacific Daylight Time (PDT)

Enrolment limit

15 participants

Format and delivery method

The workshop will be a mix of live online interactive sessions, 
delivered via videoconference software (Microsoft Teams), and computer 
exercises.   There will be two sessions in total, on successive days, 
with a total class time of 4 hours (including breaks) and an additional 
computer exercise to complete after the first day and before the second. 
  Exercises can be undertaken using Distance for Windows or R (via the 
mrds package).

Len Thomas  len.thomas at st-andrews.ac.uk  lenthomas.org  @len_thom
Centre for Research into Ecological and Environmental Modelling
and School of Mathematics and Statistics
The Observatory, University of St Andrews, Scotland KY16 9LZ
Office: UK+1334-461801  Admin: UK+1334-461842

The University of St Andrews is a charity
registered in Scotland, No SC013532.

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