Analyzing animal movements using Brownian bridges.

By Jon S. Horne, E. O. Garton, Stephen M. Krone, Jesse S. Lewis. Ecology, 2007

909 citations recorded by the source corpus.

Subfields: Ecology

View Paper: https://www.semanticscholar.org/paper/02d19ea3bfa4a05004f4ce0e71b38b7a038288a0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

Citations in the corpus

Estimating utilization distributions from fitted step-selection functions (2017, background): “Ignoring the temporal sequence of location data can also lead to a loss of information about factors influencing animal movement (Horne et al. 2007, Fleming et al. 2016).”
Migration of northern Yellowstone elk: implications of spatial structuring (2010, background): “The Brownian bridge movement model is a continuous-time stochastic movement model in which the probability of being in an area is conditioned on the distance and elapsed time between successive locations, the location error, and an estimate of the animal’s mobility (Horne et al. 2007).”
Quantifying habitat use and preferences of pelagic seabirds using individual movement data: a review (2009, background): “Alternatively, by assuming that animals move in random walks, probabilistic estimates of locations can be made (Horne et al. 2007, Bost et al. 2009).”
ctmm: an r package for analyzing animal relocation data as a continuous‐time stochastic process (2016, background): “Brownian motion (BM) is a standard model of regular diffusion, where velocities are uncorrelated and space use is not limited (Einstein 1905; Horne et al. 2007).”
Rigorous home range estimation with movement data: a new autocorrelated kernel density estimator. (2015, background): “Key words: autocorrelation; Brownian bridge; home range; kernel density; minimum convex polygon; Mongolian gazelle, Procapra gutturosa; tracking data; utilization distribution.”
What Is the Proper Methodto Delineate Home Range of anAnimal Using Today’s AdvancedGPS Telemetry Systems: The Initial Step (2011, positive): “Brownian bridge movement models (BBMM), which incorporate time between successive locations into the utilization distribution estimation, were recommended for use with serially correlated locations collected with GPS technology (Bullard 1999; Horne et al., 2007).”
Why Did the Bear Cross the Road? Comparing the Performance of Multiple Resistance Surfaces and Connectivity Modeling Methods (2014, methodology): “The Brownian bridge movement model [18] was used to identify 56 highway crossing events for black bears along U.”