Optimising the use of bio-loggers for movement ecology research

Williams, H.J., Taylor, L.A., Benhamou, S. et al. (17 more authors) (2019) Optimising the use of bio-loggers for movement ecology research. Journal of Animal Ecology. ISSN 0021-8790

Abstract

Metadata

Authors/Creators:
  • Williams, H.J.
  • Taylor, L.A.
  • Benhamou, S.
  • Bijleveld, A.I.
  • Clay, T.A.
  • de Grissac, S.
  • Demšar, U.
  • English, H.M.
  • Franconi, N.
  • Gómez-Laich, A.
  • Griffiths, R.C.
  • Kay, W.P.
  • Morales, J.M.
  • Potts, J. ORCID logo https://orcid.org/0000-0002-8564-2904
  • Rogerson, K.F.
  • Rutz, C.
  • Spelt, A.
  • Trvail, A.M.
  • Wilson, R.P.
  • Börger, L.
Copyright, Publisher and Additional Information: © 2019 John Wiley & Sons Ltd. This is an author-produced version of a paper subsequently published in Journal of Animal Ecology. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Bio-logging; multi-disciplinary collaboration; movement ecology; multi-sensor approach; big data; data visualisation; Integrated Bio-logging Framework; accelerometer; GPS
Dates:
  • Accepted: 8 August 2019
  • Published (online): 19 August 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 20 Aug 2019 09:43
Last Modified: 19 Aug 2020 00:38
Status: Published online
Publisher: Wiley
Refereed: Yes
Identification Number: https://doi.org/10.1111/1365-2656.13094

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