Argos and GPS data for a polar bear track

It is rare to be able to validate state-space models for Argos data. This dataset provides a unique opportunity to do so, because it contains simultaneous Argos and GPS data for a polar bear. The GPS locations are extremely accurate (≤30 m) compared to Argos data, which can have errors as large as 3...

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Bibliographic Details
Main Authors: Auger-Méthé, Marie, Derocher, Andrew E.
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://doi.org/10.5061/dryad.4qrfj6q96
Description
Summary:It is rare to be able to validate state-space models for Argos data. This dataset provides a unique opportunity to do so, because it contains simultaneous Argos and GPS data for a polar bear. The GPS locations are extremely accurate (≤30 m) compared to Argos data, which can have errors as large as 36 km depending on the quality class. The dataset contains one year of movement data, starting on April 20, 2009. The dataset was used in the associated Ecological Monographs paper to show how to fit state-space models to ecological data. PB_Argos.csv – One year of Argos locations. DateTime contains the date and time of the locations, QualClass contains the quality category of the Argos location, Lat contains the latitude, and Lon contains the longitude. PB_GPS.csv – One year of daily GPS locations. DateTime contains the date and time of the locations, Lat contains the latitude, and Lon contains the longitude.