Part 8 of the Space-Use and Behavioral State Estimation Workshop.
This shows a live-coding exercise on estimating behavioral states at both an observation- and track segment-level with a green sea turtle (Chelonia mydas) satellite telemetry dataset. All coding is performed using the R programming language within the RStudio IDE, where the discretization of data streams, determination of likely number of behavioral states, as well as the visualization and interpretation of behavioral state estimates are demonstrated. Modeling is performed using the {bayesmove} R package, developed by Josh Cullen and Denis Valle. Additional details about the workshop and associated materials can be found at the workshop website https://joshcullen.github.io/Behavior_and_SpaceUse_Workshop/.
This material is based upon work supported by the National Science Foundation under Grant Numbers 2126583 and 1904818. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.