A THREE‐STAGE ALGORITHM FOR FILTERING ERRONEOUS ARGOS SATELLITE LOCATIONS

By Deborah Austin, J. McMillan, W. Bowen. 2003

114 citations recorded by the source corpus.

How researchers see this paper

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

Foraging destinations and marine habitat use of short-tailed albatrosses: A multi-scale approach using first-passage time analysis (2006, methodology): “These filtering procedures are similar to those previously employed by other investigators (Hyrenbach et al., 2002; Austin et al., 2003 ) for B fixes.”
ROBUST STATE-SPACE MODELING OF ANIMAL MOVEMENT DATA (2005, methodology): “In current analyses of movement data, extreme observations are typically removed a priori, for example, by filtering on a maximum rate of travel (e.g., McConnell et al. 1992, Austin et al. 2003).”
Foraging distance affects reproductive success in Magellanic penguins (2009, unknown): “The second and third filters were the speed filters of Austin et al. (2003) and McConnell et al. (1992).”
Intraspecific variation in movement patterns: modeling individual behaviour in a large marine predator (2004, unknown): “Therefore, all locations for each seal (including auxiliary locations) were filtered using a three-stage algorithm (Austin et al. 2003) to remove erroneous data.”
Identifying and comparing phases of movement by leatherback turtles using state-space models (2008, methodology): “A process of filtering (e.g. McConnell et al., 1992, Austin et al., 2003), to remove spurious locations, and interpolation (Tremblay et al., 2006), to obtain positions at regular intervals, therefore occurs prior to analysis.”