*Analysis of Avian Point Count Data in the Presence of Detection Error (APCD01)*
Master modern statistical approaches for analysing bird survey data while accounting for imperfect detection. https://www.prstats.org/course/analysis-of-avian-point-count-data-in-the-presence-of-detection-error-apcd01/ *Why this course?* Point count surveys are one of the most widely used tools for monitoring bird populations, but detection is rarely perfect. Failing to account for detection error can bias estimates of abundance and occupancy, leading to misleading conclusions. This course introduces state-of-the-art methods that explicitly account for imperfect detection, providing more reliable insights for conservation and management. *Duration:* 5 Days, 4 hours per day *Next Date:* 10th – 14th November 2025 *Format:* Live Online Format *Cost:* First 10 places £400 Normal price £450 ------------------------------ *Course Description* This 5-day course equips participants with the statistical tools needed to analyse avian point count data in the presence of imperfect detection. Through a combination of lectures and computer-based practicals in R, participants will learn the theoretical background and practical applications of hierarchical models for abundance and occupancy. The course covers detection probability, model fitting, diagnostics, interpretation, and visualisation. Worked examples will be provided, but participants are also welcome to bring their own data. A basic understanding of statistics and some familiarity with R are sufficient — no prior knowledge of advanced methods is required. The course is designed for ornithologists, ecologists, conservation practitioners, postgraduate students, and professionals in government or NGOs who wish to strengthen their methodological toolkit for bird monitoring. ------------------------------ *What You’ll Learn* • The importance of accounting for imperfect detection in survey data • Statistical frameworks for abundance and occupancy estimation • How to specify and fit hierarchical models in R • Approaches for model selection and evaluation • Best practices for interpreting and presenting results • How to apply methods to both provided and participant datasets ------------------------------ Please email *[email protected]* with any questions. -- 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
