Introduction to Continuous-Time Movement Modeling for Animal Tracking Data


Advance Registration Required

Animal tracking data often come with substantial autocorrelation and location error that render classical analyses invalid and cause differential biases across studies, sites, taxa, and individuals. Continuous-time methods offer a solution to these challenges, but can be conceptually challenging and are often misapplied. This workshop will provide beginners with an introduction to important concepts, as well as hands-on experience using point-and-click software (ctmmweb) and the R command line (ctmm), to apply advanced statistical methods to tracking data. Participants will learn how to fit continuous-time movement models to their tracking data, select the most appropriate movement model for their analysis, interpret model parameters, perform home-range analysis via autocorrelated kernel density estimation (AKDE), perform path reconstruction via occurrence estimation, quantify and distinguish between the different types of utilization distributions, quantify home-range overlap and estimate encounter distributions.
Organizers: Christen H. Fleming, University of Maryland, College Park, MD; Michael J. Noonan, University of British Columbia, Okanagan, BC

Location: Virtual Date: October 2, 2020 Time: 10:00 am - 6:00 pm