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Earth Surface Dynamics An interactive open-access journal of the European Geosciences Union
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Volume 4, issue 2
Earth Surf. Dynam., 4, 445–460, 2016
https://doi.org/10.5194/esurf-4-445-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Frontiers in geomorphometry

Earth Surf. Dynam., 4, 445–460, 2016
https://doi.org/10.5194/esurf-4-445-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review article 30 May 2016

Review article | 30 May 2016

An introduction to learning algorithms and potential applications in geomorphometry and Earth surface dynamics

Andrew Valentine and Lara Kalnins
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Andrew Valentine on behalf of the Authors (28 Apr 2016)  Author's response    Manuscript
ED: Publish subject to technical corrections (19 May 2016) by John K. Hillier
ED: Publish subject to technical corrections (19 May 2016) by Tom Coulthard(Editor)
Publications Copernicus
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Short summary
Learning algorithms are powerful tools for understanding and working with large data sets, particularly in situations where any underlying physical models may be complex and poorly understood. Such situations are common in geomorphology. We provide an accessible overview of the various approaches that fall under the umbrella of "learning algorithms", discuss some potential applications within geomorphometry and/or geomorphology, and offer advice on practical considerations.
Learning algorithms are powerful tools for understanding and working with large data sets,...
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