Spatially explicit models for distance sampling data: density surface
modelling in practice
8-12 June 2020, 1700-1900 BST // 1200-1400 EDT // 0900-1100 PDT
As a replacement for the usual advanced distance sampling workshop here
in St Andrews, we're offering the components of the workshop online this
year. This course will cover how to fit spatial models to distance
sampling data ("density surface modelling") in R. This will include:
- Brief overview of distance sampling
- Generalized additive models
- Fitting, checking and selecting density surface models
- Predicting abundance
- Making maps
Examples will be based around a line transect survey of sperm whales in
the western Atlantic.
Format:
The course will consist of 5 live sessions delivered over
videoconference. Between these sessions there will be practical R
exercises to complete and to assist with these practicals there will be
text-based "office hours", where participants questions can be
addressed. Each videoconference session will include time for lecturing
and discussion of practical exercises.
We are limiting enrolment to 10 for this first offering, but may run an
additional course later in the year (please e-mail to register your
interest, especially if this time of day doesn't suit you or if you
would be interested in a point transect-focussed course).
Prerequisites:
You should already know about distance sampling, for example by having
taken an introductory workshop in person or online (either interactively
or via our free pre-recorded lectures). You should also have some basic
R knowledge.
Prior to the course we will running a software test meeting to ensure
everyone can participate satisfactorily.
Cost: £250
Registration deadline: 4 May 2020
More information, with links to registration:
http://workshops.distancesampling.org/online-dsm-2020
Feel free to contact [email protected] for more information.
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