Online course: Spatially explicit models for distance sampling data
Spatially explicit models for distance sampling data: density surface modelling in practice 8-12th March 2021 1600-1800 GMT//1100-1300 EST//0800-1000 PST This online 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. Each videoconference session will include time for lecturing and discussion of practical exercises. Enrolment is limited to 15. 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 experience using R. Prior to the course we will running a software test meeting to ensure everyone can participate satisfactorily. Cost: £250 Registration deadline: 15 January 2021 More information, with links to registration: https://workshops.distancesampling.org/dsm-march-2021 Feel free to contact dlm22@st-andrews.ac.uk for more information.
participants (1)
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David Lawrence Miller