[MARMAM] Intermediate-level distance sampling training workshop 31 July -- 04 August 2017
er26 at st-andrews.ac.uk
Tue Jan 24 03:51:27 PST 2017
The Centre for Research into Ecological and Environmental Modelling
(CREEM) is hosting an intermediate-level workshop in the summer of 2017
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 31st July at 09:00, with
registration from 08:45, at CREEM, and finish on Friday 4th August at 17:00.
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 datacamp.com, or by attending
a free half-day tutorial preceding the workshop (30 July 2017
1400-1700). Please register for this tutorial on the registration form
at the bottom of this page.
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 unstructured time, with
instructors working with participants on their specific problems.
Further details and registration instructions can be found at
More information about the MARMAM