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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Latest update: 17 Jun 2024
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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.