Articles | Volume 7, issue 3
https://doi.org/10.5194/esurf-7-789-2019
https://doi.org/10.5194/esurf-7-789-2019
Research article
 | 
02 Sep 2019
Research article |  | 02 Sep 2019

Percentile-based grain size distribution analysis tools (GSDtools) – estimating confidence limits and hypothesis tests for comparing two samples

Brett C. Eaton, R. Dan Moore, and Lucy G. MacKenzie

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Interactive discussion

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 Brett Eaton on behalf of the Authors (29 May 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (13 Jun 2019) by Jens Turowski
RR by Anonymous Referee #2 (04 Jul 2019)
RR by Rebecca Hodge (10 Jul 2019)
ED: Publish subject to minor revisions (review by editor) (15 Jul 2019) by Jens Turowski
AR by Brett Eaton on behalf of the Authors (24 Jul 2019)  Author's response   Manuscript 
ED: Publish as is (25 Jul 2019) by Jens Turowski
ED: Publish as is (29 Jul 2019) by Tom Coulthard (Editor)
AR by Brett Eaton on behalf of the Authors (29 Jul 2019)  Author's response   Manuscript 
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Short summary
Researchers studying gravel bed rivers almost always require a sample of the bed surface grain size range. These samples are typically expressed as cumulative frequency distributions. We present statistical techniques for generating and plotting confidence intervals for the various size percentiles and for determining whether size percentiles from two samples are statistically different. The techniques are implemented in an R package; a simplified version is implemented in a spreadsheet.