Advanced Occupancy Modeling
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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.).
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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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Review of basic, static occupancy model: model development, covariates, creating species distribution maps
Study design
Correlated detection occupancy model
Multi-scale occupancy model
Spatial correlation in occupancy
Static multi-state occupancy model
False positive detection models
Review of dynamic occupancy model
Dynamic multi-state occupancy model
Species co-occurrence models
Community-level models
Joint occupancy-habitat dynamics model
COURSE OPTIONS & INFORMATION (Review chart above, then click below)
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FORMAT:
3 months of access to course materials as you work at your own pace
CONTINUING EDUCATION:
16 CEUs with The Wildlife Society
Go to our Continuing Education Page for more details
DATES & PRICES:
Winter: Dec 2 - Feb 23 (Early bird ends Nov 4th): $275 student / $375 professional
*Early bird saves $75
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.