Bivariate Gaussian bridges: directional factorization of diffusion in Brownian bridge models.

ABSTRACT:

Background

In recent years high resolution animal tracking data has become the standard in movement ecology. The Brownian Bridge Movement Model (BBMM) is a widely adopted approach to describe animal space use from such high resolution tracks. One of the underlying assumptions of the BBMM is isotropic diffusive motion between consecutive locations, i.e. invariant with respect to the direction. Here we propose to relax this often unrealistic assumption by separating the Brownian motion variance into two directional components, one parallel and one orthogonal to the direction of the motion.

Results

Our new model, the Bivariate Gaussian bridge (BGB), tracks movement heterogeneity across time. Using the BGB and identifying directed and non-directed movement within a trajectory re

SUBMITTER: Kranstauber B 

PROVIDER: S-EPMC4416317 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature