# Fur Seal Analysis

(Difference between revisions)
 Revision as of 22:07, 2 April 2008 (view source)Eli (Talk | contribs)← Older edit Revision as of 23:58, 2 April 2008 (view source)Eli (Talk | contribs) Newer edit → Line 3: Line 3: 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 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 ($V_p = V \cos(\theta)$) and turning ($V_t = V \sin(\theta)$) components.  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. + The plots on the left show the time-series of velocity and turning angles decomposed into persistence ($V_p = V \cos(\theta)$) and turning ($V_t = V \sin(\theta)$) 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 ($V_p$), while the size of the dots indicates the estimated velocity at each point. To the right, I present a mapping of the track itself.  Colors again indicate the auto-correlation estimate for the persistence component ($V_p$), while the size of the dots indicates the estimated velocity at each point.

## Revision as of 23:58, 2 April 2008

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)