ONLINE COURSE – Analysis of Avian Point-Count Data in the Presence of Detection Error (APCD01)
https://www.prstats.org/course/analysis-of-avian-point-count-data-in-the-presence-of-detection-error-apcd01/ 11th - 13th November 2025 Course instructor - Dr. Peter Solymos Please feel free to share! ABOUT THIS COURSE - This course is aimed towards researchers analysing field observations, who are often faced by data heterogeneities due to field sampling protocols changing from one project to another, or through time over the lifespan of projects, or trying to combine legacy data sets with new data collected by recording units. Such heterogeneities can bias analyses when data sets are integrated inadequately or can lead to information loss when filtered and standardized to common standards. Accounting for these issues is important for better inference regarding status and trend of species and communities. Analysis of such ‘messy’ data sets need to feel comfortable with manipulating the data, need a full understanding the mechanics of the models being used (i.e. critically interpreting the results and acknowledging assumptions and limitations), and should be able to make informed choices when faced with methodological challenges. The course emphasizes critical thinking and active learning through hands on programming exercises. We will use publicly available data sets to demonstrate the data manipulation and analysis. We will use freely available and open-source R packages. The expected outcome of the course is a solid foundation for further professional development via increased confidence in applying these methods for field observations. By the end of the course, participants should be able to: 1. Understand basic statistical concepts related to detection error 2. Work with field collected data and data from automated recording units (ARU) 3. Know packages such as unmarked, detect, bSims 4. Critically evaluate modelling options and assumptions using simulations 5. Fit N-mixture, distance sampling, and time-removal models to data Please email [email protected] with any questions. Oliver -- Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
