Articles | Volume 11, issue 6
https://doi.org/10.5194/se-11-2535-2020
https://doi.org/10.5194/se-11-2535-2020
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, Silvia Mittempergher, Mattia Martinelli, and Fabrizio Storti

Viewed

Total article views: 3,028 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,823 1,092 113 3,028 86 92
  • HTML: 1,823
  • PDF: 1,092
  • XML: 113
  • Total: 3,028
  • BibTeX: 86
  • EndNote: 92
Views and downloads (calculated since 13 May 2020)
Cumulative views and downloads (calculated since 13 May 2020)

Viewed (geographical distribution)

Total article views: 3,028 (including HTML, PDF, and XML) Thereof 2,714 with geography defined and 314 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.