Spatial Modelling live-online workshop
Spatially explicit models for distance sampling data: density surface modelling in practice
This workshop is now fully subscribed.
Overview:
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.
Instructor:
The workshop instructor is Dave Miller.
Timing:
5 – 9th October 2020, 1700-1900 BST // 1200-1400 EDT // 0900-1100 PDT
Enrollment limit:
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.
Pre-requisites:
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
Enquiries:
Feel free to contact Dave Miller, [email protected] for more information.
Terms and Conditions:
Information about the University of St Andrews Online Payment Services is available here.