Workshops
Beginner Distance Sampling
Conventional line and point transect distance sampling, with covariates, in R.
Session 1: 1:00pm - 5:00pm 12 November 2024 (Mountain time)
Session 2: 9:00am - 1:00pm 13 November 2024 (Mountain time)
Description
Estimating population abundance is a fundamental task in wildlife biology. Distance-sampling, implemented as line-transects or point-transects, is one of two primary abundance methods, the other being capture-recapture. Distance-sampling estimates abundance by correcting for detection that declines with increasing distance between observer and target. Conventional distance-sampling approaches which can contain detection covariates (e.g., Buckland et al. 2001, and basic models in Program Distance) have a rich history.
This workshop will introduce participants to conventional and hierarchical line and point transect methods for distance-sampling analysis in Program R. Participants will be able to identify and implement appropriate methods for a given study design. Participants will be exposed to multiple case studies of conventional and hierarchical distance sampling analyses in R.
Target Audience
The workshop is designed for managers, researchers, and students with a basic understanding of statistics and working familiarity with Program R. Someone who knows how to subset a data.frame, fit and work with lm and/or glm model objects in Program R should be able to follow our examples and utilize workshop scripts. Everyone, including R newbies, should benefit from the foundational ‘why’ and ‘when’ and ‘what’ discussions.
Outline
Session 1: 1:00pm - 5:00pm (MST) 12Nov24
- (1:00pm) Welcome
- (1:10pm) Conventional distance sampling (no covariates)
- Line transect methods and example
- Point transect methods and example
- (2:35pm) Break
- (3:00pm) Conventional distance analysis with detection covariates
- Methods and case study
- (4:00pm) Break
- (4:15pm) Case study 2
- Combined species detection functions, separate species abundance
- (5:00pm) End Session 1
Session 2: 9:00am - 1:00pm (MST) 13Nov24
- (9:00 am) Introduction to heirarchical distance sampling
- (9:30 am) Case study 3
- Real-world aerial surveys
- (10:30 am) Break
- (10:45 am) Case study 4
- Real-world aerial surveys
- (11:45 am) Break
- (12:00 am) Question and answer
- (1:00 pm) End Session 2
Software
Example datasets, scripts, and other materials will be distributed via download. The workshop will use the following free software:
Software installation instructions will be provided ahead of time.
Instructors
The instructors have conducted and consulted on distance-sampling studies of diverse taxa across the globe, including surveys from the ground, air, and sea. This workshop is a new distillation of beginner content, based on what we’ve learned from past workshops hosted by The Wildlife Society, Society for Marine Mammalogy, Wyoming Game and Fish Department, and University of Wyoming.
Trent McDonald, Ph.D., President and Chief Analyst, McDonald Data Sciences
Jason Carlisle, Ph.D., Quantitative Biologist, Wyoming Game and Fish Department
Embere Hall, Ph.D., Science Unit Supervisor, Wyoming Game and Fish Department
Costs
The Wyoming Game and Fish Department is hosting and sponsoring this iteration of Beginner Distance Sampling. Attendance by Wyoming Game and Fish personnel is free. To defray direct costs, and to keep things simple, we are charging others $10 whether they attend one or both sessions (i.e., one session is $10; both sessions are $10).
Registration
This is a virtual workshop hosted on Zoom. Attending through the Zoom app, not the Zoom web interface, is strongly encouraged. The Zoom meeting link will be supplied after registration and payment.
Follow the links below to register for one or both sessions. Participants must register separately for each session because the virtual meeting links are different. Following registration and payment (by non-WG&F employees), participants will receive confirmation emails containing links to the virtual sessions.
After registration, return here and pay registration fees by clicking the button below: