Technical note: Estimating unbiased transfer-function performances in  spatially structured environments

Trachsel, Mathias; Telford, Richard J.

doi:https://doi.org/10.5194/cp-12-1215-2016

Articles | Volume 12, issue 5

https://doi.org/10.5194/cp-12-1215-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/cp-12-1215-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 12, issue 5

Technical note

|

24 May 2016

Technical note |

| 24 May 2016

Technical note: Estimating unbiased transfer-function performances in spatially structured environments

Mathias Trachsel and Richard J. Telford

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Final revised paper (published on 24 May 2016)
Supplement to the final revised paper
Preprint (discussion started on 08 Oct 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C3166: 'Reviewer Comments', Anonymous Referee #1, 10 Feb 2016
- AC C3227: 'Reply to reviewers comments', Mathias Trachsel, 15 Mar 2016
RC C3172: 'Referee comment', Anonymous Referee #2, 15 Feb 2016
- AC C3228: 'Reply to reviewers comments', Mathias Trachsel, 15 Mar 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (review by Editor) (29 Mar 2016) by Nerilie Abram

AR by Mathias Trachsel on behalf of the Authors (12 Apr 2016)

ED: Publish as is (04 May 2016) by Nerilie Abram

AR by Mathias Trachsel on behalf of the Authors (04 May 2016)

Short summary

In spatially structured environments, conventional cross validation results in over-optimistic transfer function performance estimates. H-block cross validation, where all samples within h kilometres of the test samples are omitted is a method for obtaining unbiased transfer function performance estimates. We assess three methods for determining the optimal h using simulated data and published transfer functions. Some transfer functions perform notably worse when h-block cross validation is used.