Quantifying and modelling decay in forecast proficiency indicates the limits of transferability in land-cover classification

Gavish, Y orcid.org/0000-0002-6025-5668, O'Connell, J and Benton, TG orcid.org/0000-0002-7448-1973 (2018) Quantifying and modelling decay in forecast proficiency indicates the limits of transferability in land-cover classification. Methods in Ecology and Evolution, 9 (2). pp. 235-244. ISSN 2041-210X

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Copyright, Publisher and Additional Information: © 2017 The Authors. Methods in Ecology and Evolution © 2017 British Ecological Society. This is the peer reviewed version of the following article: Gavish, Y., O'Connell, J. and Benton, T. G. (2017), Quantifying and modelling decay in forecast proficiency indicates the limits of transferability in land-cover classification. Methods in Ecology and Evolution., which has been published in final form at https://doi.org/10.1111/2041-210X.12870. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: community similarity; earth‐observation; forecast horizon; habitat mapping; predictive ecology; random forest; remote sensing; signature extension; species‐distribution models; uncertainty
Dates:
  • Published: February 2018
  • Accepted: 1 August 2017
  • Published (online): 17 August 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Aug 2017 11:13
Last Modified: 17 Aug 2018 10:49
Status: Published
Publisher: Wiley
Identification Number: https://doi.org/10.1111/2041-210X.12870
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