Online workshop: Spatially explicit models for distance sampling data: density surface modelling in practice

Overview

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.

Instructors

David L Miller

Timing

8-12th March 2021, 16:00-18:00 GMT.

Enrollment limit

Registration is limited to 15 participants.

Format and Delivery method

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.

Prerequisites

You should already know about distance sampling, for example by having taken a face-to-face introductory workshop or an online workshop (either interactive or via our free pre-recorded lectures ). You should also have experience using R, and have the relevant software downloaded and installed in advance of the workshop. We will offer pre-workshop group meetings to check the video-conferencing software, and that you have the software correctly installed.

Registration and Payment

This workshop is now full. We hope to offer another in Summer 2021.

Enquiries

For more information about the workshop or registration process please contact Dave Miller, email: dlm22@st-andrews.ac.uk

Terms and Conditions

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