AMoveE 2014: Bart Kranstauber (Tutorial 2)
Channel: Movebank
Date: 20/05/2014

This talk was presented by Bart Kranstauber on 7 May 2014 as part of the Symposium on Animal Movement and the Environment, held at the North Carolina Museum of Natural Sciences in Raleigh.

Kranstauber B, 2014, "Dynamic Brownian bridge movement models"

Abstract: The recently developed Brownian bridge movement model has advantages over traditional methods because it quantifies the utilization distribution (UD) of an animal based on its movement path rather than individual points and accounts for temporal autocorrelation and high data volumes. Based on this model, the recently developed dynamic Brownian bridge movement model (dBBMM; Kranstauber et al. 2012) allows the user to estimate the UD of animals with heterogeneous behavior. This new method provides a more accurate utilization distribution that better describes the space use of realistic, behaviorally heterogeneous tracks.

In this tutorial, I will show how a UD is calculated using the brownian.bridge.dyn function and use it for data visualizations using the R package move. Attendees must have the most recent versions of program R and the move package installed on their machines. For those unfamiliar with the move package there is an introduction tutorial beforehand. This hands-on tutorial will use a provided movement data set and also provide attendees with an opportunity to explore their own data sets afterwards.

Reference: Kranstauber, B., Kays, R., LaPoint, S., Wikelski, M. and Safi, K. (2012), A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement. Journal of Animal Ecology, 81: 738--746.