Second announcement: 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 https://www.youtube.com/playlist?list=PL8k5p7gTuzQyvDreXY4F_oHSQ6ycovBw8 - 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 http://creem2.st-andrews.ac.uk/intermediate-level-distance-sampling-training... -- 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