# Fur Seal Analysis

(Difference between revisions)
 Revision as of 11:11, 3 April 2008 (view source)Eli (Talk | contribs) (→Preliminary draft of manuscript)← Older edit Revision as of 11:11, 3 April 2008 (view source)Eli (Talk | contribs) (→Preliminary draft of manuscript)Newer edit → Line 1: Line 1: == Preliminary draft of manuscript == == Preliminary draft of manuscript == − The following: {{pdf|Gurarie2008_MovementAnalysis.pdf|Gurarie2008 MovementAnalysis}}  is a preliminary draft of a paper on the analysis methods for generating a behaviorally "distilled" model of animal movement.  It is missing any discussion of the application of the method to the fur seal movements. + The following: {{pdf|Gurarie2008_MovementAnalysis.pdf|Gurarie2008 MovementAnalysis}}  is a preliminary draft of a paper on the analysis methods for generating a behaviorally "distilled" model of animal movement.  It is missing any discussion of the application of the method to the fur seal movements. [[User:Eli|Eli]] 04:11, 3 April 2008 (PDT) ==Plots of all fur seals== ==Plots of all fur seals==

## Preliminary draft of manuscript

The following: Gurarie2008 MovementAnalysis is a preliminary draft of a paper on the analysis methods for generating a behaviorally "distilled" model of animal movement. It is missing any discussion of the application of the method to the fur seal movements. Eli 04:11, 3 April 2008 (PDT)

## Plots of all fur seals

This file: FurSealAllPlots.pdf contains plots of five Northern fur seal tracks and analysis according to the Gurarie-2008 method.

The data are from fur seal number NFS07-03, and include trips 1, 2, 3, 4 and 7, which were long enough for a complete analysis.

The plots on the left show the time-series of velocity and turning angles decomposed into persistence (Vp = Vcos(θ)) and turning (Vt = Vsin(θ)) components. The decompositions were performed using a window size L of 30 and 50 data points.

The black line is the estimate for the mean $\hat\mu$, the red line represents the estimate for the standard deviaion $\hat\sigma$, and the color reflects the auto-correlation $\hat\rho$: bluer colors indicate less auto-correlated movement, while yellow colors indicate more auto-correlated movement. Vertical orange lines indicate points where the estimation routine suggests there was a significant behavioral shift. Thicker lines correspond to a higher number of selected shifts. Grey bands indicate nighttime.

To the right, I present a mapping of the track itself. Colors again indicate the auto-correlation estimate for the persistence component (Vp), while the size of the dots indicates the estimated velocity at each point.

There is (in my view) lots of things to think about here!

Eli 14:44, 2 April 2008 (PDT)