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This course is aimed at participants that have completed the introductory-level course, or have suitable practical experience implementing species occurrence models that account for imperfect detection. In this course, learn the underlying theory of multi-scale, multi-state, species co-occurrence, and community level models and then put your new knowledge into practice. All hands-on exercises will be conducted in R, covering data analysis and presentation of results (plotting results, creating maps, etc.). This course was recorded during a live workshop in March 2024 at the University of Maine. You will have 3 months of access to course materials as you work at your own pace.
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Learn at your your own pace without instructor support.
Spring: March 2 – May 24, 2026 (Early bird ends February 1)
Summer: Jun 1 – Sept 6, 2026 (Early bird ends May 3)
*Early bird saves $75
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Introduction to Occupancy Modeling or experience in RPresence
Experienced in statistics and modeling in R (e.g., Ecological Statistics and Modeling & Generalized Models)
Experience with JAGS for fitting models using Bayesian methods in R is advantageous (e.g., Intro to Bayesian Modeling in Ecology)
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By the end of the course, learners will be able to:
Evaluate and extend single-season occupancy models by incorporating covariates, advanced detection structures, and species distribution mapping approaches.
Design rigorous occupancy studies that account for detection uncertainty, spatial structure, and ecological scale.
Implement and interpret advanced occupancy model frameworks, including correlated detection, multi-scale, spatially explicit, multi-state, and false-positive detection models.
Analyze temporal dynamics using dynamic and dynamic multi-state occupancy models to quantify colonization, extinction, and state transitions.
Model and interpret species interactions and biodiversity patterns using co-occurrence, multi-species, and community-level occupancy models.
Synthesize habitat, spatial, and temporal processes by applying integrated habitat–occupancy modeling approaches to address complex ecological questions
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16 CEUs with The Wildlife Society
Go to our Continuing Education Page for more details
INSTRUCTOR
SCHOLARSHIPS
Full scholarships are available to participants from countries designated as “lower income” and “lower middle income” in the World Bank List of Economies. Please see our CWS World Scholars Program page for details.
CANCELLATION POLICY
Cancellations 30 days or more before the start date are not subject to cancellation fees. Cancellations <30 days before the start date are subject to a 50% cancellation fee. No refunds once the course begins.