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, Silvia Mittempergher, Mattia Martinelli, and Fabrizio Storti

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Cited articles

Bai, T. and Pollard, D. D.: Fracture spacing in layered rocks: A new explanation based on the stress transition, J. Struct. Geol., 22, 43–57,, 2000. 
Bistacchi, A.: DomStudioFracStat1D, available at:, last access: 19 October 2020. 
Bistacchi, A., Massironi, M., and Menegon, L.: Three-dimensional characterization of a crustal-scale fault zone: The Pusteria and Sprechenstein fault system (Eastern Alps), J. Struct. Geol., 32, 2022–2041,, 2010. 
Bistacchi, A., Balsamo, F., Storti, F., Mozafari, M., Swennen, R., Solum, J., Tueckmantel, C., and Taberner, C.: Photogrammetric digital outcrop reconstruction, visualization with textured surfaces, and three-dimensional structural analysis and modeling: Innovative methodologies applied to fault-related dolomitization (Vajont Limestone, Southern Alps, Italy), Geosphere, 11, 2031–2048,, 2015. 
Bonneau, F., Caumon, G., and Renard, P.: Impact of a stochastic sequential initiation of fractures on the spatial correlations and connectivity of discrete fracture networks, J. Geophys. Res.-Sol. Ea., 121, 5641–5658,, 2016. 
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.