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.