![]() ![]() The group’s two studio albums-2018’s Swagism and 2015’s Fortified-have earned critical acclaim and popular success around the globe, with both albums hitting the #1 spot on the iTunes Jazz Charts. After forming in 2015, Ghost-Note has already begun to take the world by storm. Focused on creating seductive danceable grooves and a contagious feel-good energy, each show is an opportunity to let loose and connect, for both fans and the musicians alike. Ghost-Note’s live performances are bold and in your face, with the group offering up none of the tight-laced pretenses frequently associated with the band’s jazz roots. Fearless, both in Swagism’s sonic depth and conscious social commentary, the band easily translates this adventurousness in a live setting. ![]() Featuring numerous guest collaborators, including Kamasi Washington, Karl Denson, Bobby Sparks, Nigel Hall, Taz, and others, Swagism showcases the band’s stunning ability to meld and amplify sounds, ultimately adding to Ghost-Note’s sharp, complex collaborations. The album puts rhythm at the forefront, with irresistible, heavy-hitting beats underlying the group’s wild, rich music. ![]() With the release of 2018’s Swagism, Ghost-Note has made their mission clear. With an expansive roster of next-level musicians-representing members of Prince, Snoop Dogg, Erykah Badu, Herbie Hancock, Kendrick Lamar, Marcus Miller, Toto, Justin Timberlake, and more-the band is pushing funk music into the future, building on the uplifting, pioneering foundations laid out by the likes of James Brown and Sly & The Family Stone and infusing their fresh take with tastes of afrobeat, hip-hop, psychedelia, world folklore, and more. The Argos satellite telemetry system is popular for studying the movement and space use of marine animals.Headed by Snarky Puppy’s multi-Grammy–winning percussion duo of Robert “Sput” Searight and Nate Werth, Ghost-Note is an explosion of sound. 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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