A probabilistic algorithm to process geolocation data

• Main Authors: Merkel, Benjamin, Phillips, Richard, Descamps, Sébastien, Yoccoz, Nigel, Moe, Børge, Strøm, Hallvard
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: Figshare 2016
• Subjects: Evolutionary Biology; FOS Biological sciences; 59999 Environmental Sciences not elsewhere classified; FOS Earth and related environmental sciences; Ecology; 69999 Biological Sciences not elsewhere classified; 80699 Information Systems not elsewhere classified; FOS Computer and information sciences; Inorganic Chemistry; FOS Chemical sciences; Bird Island; Diomedea exulans; Wandering Albatross
• Online Access: https://dx.doi.org/10.6084/m9.figshare.c.3605246; https://figshare.com/collections/A_probabilistic_algorithm_to_process_geolocation_data/3605246

Abstract Background The use of light level loggers (geolocators) to understand movements and distributions in terrestrial and marine vertebrates, particularly during the non-breeding period, has increased dramatically in recent years. However, inferring positions from light data is not straightforwa...