Intermediate-level Distance Sampling Training Workshop 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.
The following will be provided to participants at no additional cost.
* Distance Sampling: Methods and Applications. S.T. Buckland, E.A. Rexstad, T.A. Marques and C.S. Oedekoven. Springer, 2015, soft-cover.
* A memory stick containing workshop materials, data and exercises.
The number of participants on the workshop will be restricted to 35. Places will be filled on a first-come, first-served basis on receipt of a completed a registration form and payment in full.
Fees cover tuition, course materials, a light lunch, morning and afternoon refreshments.
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 number of places available for the online videoconference link registration is very limited, again places will be filled on a first-come, first-served basis on receipt of a completed a registration form and payment in full. The ONLINE registration option has now closed.
Fees for attending workshop in St Andrews
Earlybird Regular Participant – 625.00 GBP
Earlybird Registered Student/Developing Country Participant – 475.00 GBP
The Earlybird fee is available until 30th June 2017, after 30th June fees will increase to:
Regular Participant – 675.00 GBP
Registered Student/Developing Country Participant- 525.00 GBP
Online Fees – NOW CLOSED
Payment is made via the University of St Andrews online payment service. You will be asked to register if it is your first visit to the store. Please follow this link to the Online Payment Service. Confirmation of a place on the workshop will follow once payment has been received.
Rhona Rodger, Workshop Administrator
Centre for Research into Ecological and Environmental Modelling
University of St Andrews
The Observatory, Buchanan Gardens
Scotland KY16 9LZ
Tel:+44 (0) 1334 461842
Email: [email protected]