Controls on continental shelf width: A machine learning approach

Soutter, EL, Kane, IA, Hodgson, DM orcid.org/0000-0003-3711-635X et al. (1 more author) (2023) Controls on continental shelf width: A machine learning approach. Geomorphology, 436. 108729. ISSN 0169-555X

Abstract

Metadata

Item Type: Article
Authors/Creators:
Keywords: Continental shelf; Machine learning; Random forest
Dates:
  • Published: 1 September 2023
  • Published (online): 18 May 2023
  • Accepted: 7 May 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds)
Funding Information:
Funder
Grant number
University of Manchester
R123936
Depositing User: Symplectic Publications
Date Deposited: 21 Jul 2023 09:15
Last Modified: 21 Jul 2023 09:15
Status: Published
Publisher: Elsevier BV
Identification Number: 10.1016/j.geomorph.2023.108729
Open Archives Initiative ID (OAI ID):

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