[MARMAM] New information 2017 intermediate distance sampling workshop St Andrews
er26 at st-andrews.ac.uk
Mon Apr 3 03:41:46 PDT 2017
New information contained in this notice:
- We are preparing a new version of the Distance for Windows (Distance
7.1) for use in this workshop. It will have additional features for
density surface modelling and distance sampling simulation. Follow
progress of the new version via the Twitter feed @DistanceSamp
- As preparation for this intermediate workshop, we hope to have
introductory workshop materials freely-available online before the end
of June. Until those introductory materials are available, there are a
series (~7) of video lectures at this YouTube channel
- For those unable to travel to St Andrews to attend the intermediate
workshop, a limited number of spaces are available to attend the
workshop via videoconference link. Participants to the workshop via
this medium will have reduced one-on-one interaction with instructors.
Consequently, videoconference participants will receive a 25% discount
to their registration. Recognise the videoconference will be conducted
in real time; if you are in time zones distant from Scotland, your sleep
patterns will need to adjust for that week.
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,
including Len Thomas (@len_thom), Dave Miller (@millerdl) and Laura
Marshall (@DistanceSamp), using industry-standard software (visit
http://distancesampling.org for more details).
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 https://www.datacamp.com , or
by attending a free half-day tutorial preceding the workshop (30 July
2017 1400-1700). (details available at the link below)
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 (DSsim package), and to
survey and analysis methods for dealing with imperfect detection on the
trackline (double-observer methods) (MRDS package). Slightly more than
two days will be devoted to spatial (density surface) modelling of
distance sampling data (dsm package). 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
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
More information about the MARMAM