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WORKSHOP REGISTRATION IS LIMITED TO 38 ATTENDEES
LEARNING OUTCOMES INCLUDE:
● Import data, perform visual diagnostics, and detect/remove outliers
● Fit movement models via maximum likelihood
● Perform AIC-based selection of movement models
● Conduct home-range analysis using autocorrelated kernel density estimation
● Quantify home-range overlap with the Bhattacharya coefficient
● Estimate habitat suitability with integrated resource selection functions
● Perform scale-free estimation of speed and distance traveled
● Perform population-level analyses using hierarchical models
● Quantify and model telemetry error
● Estimate trajectories and occurrence areas via time-series Kriging
● Simulate trajectories conditional on tracking data
● Link questions, analyses, and studying design
WORKSHOP REQUIREMENTS:
Address: PO Box 2378 Corvallis, OR 97330
