On a new robust workflow for the statistical and spatial  analysis of fracture data collected with scanlines (or the importance of stationarity)

Bistacchi, Andrea; Mittempergher, Silvia; Martinelli, Mattia; Storti, Fabrizio

doi:https://doi.org/10.5194/se-11-2535-2020

Articles | Volume 11, issue 6

Solid Earth, 11, 2535–2547, 2020

https://doi.org/10.5194/se-11-2535-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Faults, fractures, and fluid flow in the shallow crust

Solid Earth, 11, 2535–2547, 2020

https://doi.org/10.5194/se-11-2535-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 6

Research article 23 Dec 2020

Research article | 23 Dec 2020

On a new robust workflow for the statistical and spatial analysis of fracture data collected with scanlines (or the importance of stationarity)

Andrea Bistacchi et al.

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Final revised paper (published on 23 Dec 2020)
Preprint (discussion started on 13 May 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'On a new robust workflow for the statistical and spatial analysis of fracture data collected with scanlines (or the importance of stationarity) / se-2020-83', rodrigo Correa, 17 Jul 2020
- AC1: 'Author comment', Andrea Bistacchi, 03 Oct 2020
RC2: 'se-2020-83', Anonymous Referee #2, 19 Jul 2020
- AC1: 'Author comment', Andrea Bistacchi, 03 Oct 2020
EC1: 'Revisions', Roger Soliva, 27 Jul 2020
- AC1: 'Author comment', Andrea Bistacchi, 03 Oct 2020

Peer-review completion

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

AR by Andrea Bistacchi on behalf of the Authors (03 Oct 2020) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (09 Oct 2020) by Roger Soliva

AR by Andrea Bistacchi on behalf of the Authors (14 Oct 2020) Author's response Manuscript

ED: Publish as is (19 Oct 2020) by Roger Soliva

ED: Publish as is (19 Oct 2020) by CharLotte Krawczyk(Executive Editor)

AR by Andrea Bistacchi on behalf of the Authors (23 Oct 2020) Author's response

Short summary

We present an innovative workflow for the statistical analysis of fracture data collected along scanlines. Our methodology is based on performing non-parametric statistical tests, which allow detection of important features of the spatial distribution of fractures, and on the analysis of the cumulative spacing function (CSF) and cumulative spacing derivative (CSD), which allows the boundaries of stationary domains to be defined in an objective way.