Workshop registration open: Mark-recapture distance sampling, 24-25th August 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 https://www.creem.st-andrews.ac.uk/mark-recapture-distance-sampling-workshop... 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. Instructors Len Thomas and David Borchers Centre for Research into Ecological and Environmental Modelling University of St Andrews Timing 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@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.
participants (1)
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Len Thomas