Improve your analysis of marine mammal survey and monitoring data in our live online course Analysing Ecological Data with Detection Error (AEDD01).
https://prstats.org/course/analysing-ecological-data-with-detection-error-aedd01/
Many marine mammal datasets are affected by imperfect detection — animals present but not observed, missed acoustic detections, availability bias in aerial surveys, or variable detectability across habitats. This applied R course provides practical methods for modelling detection error so you can produce more accurate and defensible ecological inferences.
The techniques are highly relevant to marine mammal research, including:
Line-transect and aerial survey data
Passive acoustic monitoring datasets
Photo-ID and capture-recapture surveys
Time-series of sightings or presence–absence data
Long-term monitoring programmes with variable effort
The course covers:
Understanding detection probability and observation bias
Occupancy and abundance models with imperfect detection
Distance sampling and N-mixture modelling approaches
Working with point counts, ARU/acoustic data, and time-removal methods
Interpreting model outputs for ecological decision-making
Participants work through live practical examples in R and receive course materials, datasets, and post-course support.
Course details
Dates: 20–23 April 2026
Duration: 4 days (approximately 4 hours per day)
Format: Live online
Fee: £350
This course is ideal for marine mammal researchers working with survey, acoustic monitoring, or long-term observational datasets who want robust statistical methods that explicitly account for detectability.
Full details and registration:
https://prstats.org/course/analysing-ecological-data-with-detection-error-aedd01/