Introduction to Occupancy Models with R

Estimate species occurrence while accounting for imperfect detection. Participants prepare repeated survey histories, distinguish occupancy from observation processes and fit single-season models with ecological and survey covariates. Exercises compare two-stage estimation in tsoccu with likelihood-based analysis in unmarked, then develop predictions, uncertainty estimates, diagnostics and reproducible reporting. The final day introduces dynamic, multispecies, spatial and false-positive extensions through ecological applications.

Sessions: 1–4 December, 09:00–13:00 daily, Europe/Berlin (CET, UTC+01:00).

Live online training; fee €420. No prior occupancy-modelling experience is required; practical work is in R.