Distance sampling workshop, St Andrews, August 2018

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Distance sampling workshop, St Andrews, August 2018

Postby scottish » Mon Feb 19, 2018 10:13 am

    - Do you wish to learn about fitting density surface models to distance sampling data?
    - Are you interested in conducting distance sampling analysis in R?
    - Do you want to simulate the performance of a distance sampling survey to produce the best design for your study objective?
If you answered yes to any of the above, then keep reading.

The Centre for Research into Ecological and Environmental Modelling (CREEM) is hosting an intermediate-level workshop in the summer of 2018 in our purpose-built facilities at the University of St Andrews, Scotland. The workshops are taught by leading researchers in the field, using industry-standard software.

The five day workshop will start on Monday 27 August at 09:00, with registration from 08:45, at CREEM, and finish on Friday 31 August at 17:00. Instructors will include Dr David L. Miller, Dr Laura H. Marshall and Prof Len J. Thomas. For a preview of the workshop contents, materials from last year's workshop can be viewed at

http://workshops.distancesampling.org/s ... rmed-2017/

There are two pre-requisites for this workshop: a) understanding of conventional distance sampling and b) basic competence with the R programming language. Pre-requisite (a) can be fulfilled by understanding of fundamental materials presented in Buckland et al. (2001, Chapters 1, 2, 4, 5 and 7) or Buckland et al. (2015, Chapters 1, 2, 4, 5 and 6) — e.g., through previous training or by independent study.

Pre-requisite (b) can be achieved by either working through instructional materials in R available at https://datacamp.com, or by attending the one-day "Distance sampling in R" preceding the workshop (26 August 2018 0900-1700). You will also find the one day workshop useful for conducting conventional distance sampling analyses in R.

The first day of the workshop will review fundamental principles of distance sampling, analyses involving conventional distance sampling and survey design. Subsequently, attention will turn to simulation of distance sampling surveys for design purposes, and to survey and analysis methods for dealing with imperfect detection on the trackline (double-observer methods). Slightly more than two days will be devoted to spatial modelling of distance sampling data. A blend of the latest version Distance 7 and the R computing language will be employed. Throughout the workshop, there will be time for instructors to work with participants on their specific analysis problems.

Further details and registration instructions can be found at

http://creem2.st-andrews.ac.uk/intermed ... shop-2018/
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