Spatially explicit models for distance sampling data: density surface modelling in practice
This workshop is now fully subscribed.
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.
The workshop instructor is Dave Miller.
5 – 9th October 2020, 1700-1900 BST // 1200-1400 EDT // 0900-1100 PDT
The number of participants is limited to 15, on a first-come, first-served basis. Registration is confirmed on receipt of a completed a registration form and payment in full. Registration and payment details are below.
Format and delivery method:
The course will consist of 5 live sessions delivered over video-conference. 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 video-conference session will include time for lecturing and discussion of practical exercises.
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
Feel free to contact Dave Miller, email@example.com for more information.
Terms and Conditions: