[MARMAM] Distance sampling workshop, St Andrews, August 2018, registration now open

Eric Rexstad er26 at st-andrews.ac.uk
Mon Feb 19 06:06:25 PST 2018

- 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


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


Eric Rexstad
Research Unit for Wildlife Population Assessment
Centre for Research into Ecological and Environmental Modelling
University of St. Andrews
St. Andrews Scotland KY16 9LZ
+44 (0)1334 461833
The University of St Andrews is a charity registered in Scotland : No SC013532

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