Bless the Old Gods themselves that at least Levi and Belphie were easy to deal with during these times. They were both book smart and beyond capable with their studies, they just lacked the wherewithal to put the effort in. Well, Belphie was more guilty than Levi when it came down to it. Most of the time Lucifer could be seen dragging Belphie to class by the ankle, face stormy with rage. It was humorous to watch-just from a distance. You smile softly to yourself tracing a thumb over your clavicle. Your finger ghosts over the healing black marks running down your skin. It was rocky at first, rebuilding your relationship and trust, with Diavolo after your "run in". He acts like you were made of spun glass and eggshells, physically trying to keep as much distance between the two of you as possible.
All the while you had to butt head with seven of the strongest and most bull-headed men you had ever met. Their protectiveness towards you tried your patience in ways you never expected. It took what you are pretty sure was your guardian angel to finally get the brothers to relent. With Simeon acting as your chaperone you start to live again. It was nice to finally feel comfortable around the demon again. Seeing him return to his normal candor and temperament again was a breath of fresh air. Thinking of him makes you flush, the cool air of your room burning your cheeks as you recall all the stolen evenings in his and Barbatos's company. The Argos satellite telemetry system is popular for studying the movement and space use of marine animals.All the hours spent laughing at their outlandish assumptions of modern human social norms while they tried to guess if they were correct or not, and then there were the nights where it was just you and the prince. The life histories of marine mammals, in particular, result in a relatively large proportion of inaccurate locations, thus making analysis methods that do not account for location measurement error inappropriate for these data. Using a new Kalman filtering algorithm, Argos now provides locations and estimated error ellipses associated with each satellite fix, but to our knowledge, the location error ellipse has yet to be incorporated into analyses of animal movement or space use. We first present an observation model utilizing the Argos error ellipse and then demonstrate how this observation model can be combined with a simple three-dimensional movement model in a state-space formulation to infer activity budgets and movement characteristics from location and dive data of two species of seal, the bearded seal ( Erignathus barbatus) and the Hawaiian monk seal ( Monachus schauinslandi). These example data sets are of variable quality and represent species that differ in both space use and latitudinal range relative to the polar orbits of Argos satellites. We found the error circle to be a crude approximation of the actual anisotropic error ellipse for the higher quality bearded seal data, but inferences from the lower quality Hawaiian monk seal data were more robust to the choice of observation model.We also compare the results from our error ellipse model with those from an approximate (isotropic) error circle model.
In practice, we suspect the inferential consequences of using traditional isotropic location quality classes or other crude approximations in lieu of the error ellipse will be largely case-dependent.In both examples, we found the theoretical bivariate normal distribution corresponding to the error ellipse often failed to adequately explain the most extreme location outliers. We support the Argos recommendation that practitioners wishing to more properly account for location measurement error utilize the error ellipse in analyses. However, the continued presence of outliers using the new algorithm suggests practitioners should consider using a fat-tailed distribution derived from the error ellipse (e.g. bivariate t-distribution) or filtering extreme outliers during data pre-processing. Since the late 1980s, the Argos satellite telemetry system has been routinely used in the study of marine mammals (e.g.
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