Released
Software

Matlab script Stress2Grid

Cite as:

Ziegler, Moritz; Heidbach, Oliver (2017): Matlab script Stress2Grid. GFZ Data Services. http://doi.org/10.5880/wsm.2017.002

Status

I   N       R   E   V   I   E   W : Ziegler, Moritz; Heidbach, Oliver (2017): Matlab script Stress2Grid. GFZ Data Services. http://doi.org/10.5880/wsm.2017.002

There is a new version of this dataset:

  • http://dx.doi.org/10.5880/wsm.2019.002
  • Abstract

    The distribution of data records for the maximum horizontal stress orientation SHmax in the Earth’s crust is sparse and very unequally. In order to analyse the stress pattern and its wavelength or to predict the mean SHmax orientation on a regular grid, statistical interpolation as conducted e.g. by Coblentz and Richardson (1995), Müller et al. (2003), Heidbach and Höhne (2008), Heidbach et al. (2010) or Reiter et al. (2014) is necessary. Based on their work we wrote the Matlab® script Stress2Grid that provides several features to analyse the mean SHmax pattern. The script facilitates and speeds up this analysis and extends the functionality compared to aforementioned publications. The script is complemented by a number of example and input files as described in the WSM Technical Report (Ziegler and Heidbach, 2017, http://doi.org/10.2312/wsm.2017.002).

    The script provides two different concepts to calculate the mean SHmax orientation on a regular grid. The first is using a fixed search radius around the grid point and computes the mean SHmax orientation if sufficient data records are within the search radius. The larger the search radius the larger is the filtered wavelength of the stress pattern. The second approach is using variable search radii and determines the search radius for which the variance of the mean SHmax orientation is below a given threshold. This approach delivers mean SHmax orientations with a user-defined degree of reliability. It resolves local stress perturbations and is not available in areas with conflicting information that result in a large variance. Furthermore, the script can also estimate the deviation between plate motion direction and the mean SHmax orientation.

    Contact

    • Heidbach, Oliver; GFZ German Research Centre for Geosciences, Potsdam, Germany;

    Contributors

    GFZ German Rersearch Centre for Geosciences

    Keywords

    World Stress Map, Stress orientation data analysis tool for Matlab

    GCMD Science Keywords

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          • title (xml:lang=en): Matlab script Stress2Grid
        • publisher: GFZ Data Services
        • publicationYear: 2017
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          • subject: Stress orientation data analysis tool for Matlab
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            • affiliation: GFZ German Research Centre for Geosciences, Potsdam, Germany
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        • Entry_Title: Matlab script Stress2Grid
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          • Dataset_Creator: Ziegler, Moritz; Heidbach, Oliver
          • Dataset_Title: Matlab script Stress2Grid
          • Dataset_Release_Date: 2017
          • Dataset_Release_Place: Potsdam, Germany
          • Dataset_Publisher: GFZ Data Services
          • Online_Resource: http://dx.doi.org/10.5880/wsm.2017.002
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          • Topic: SOLID EARTH
          • Term: TECTONICS
          • Variable_Level_1: PLATE TECTONICS
          • Variable_Level_2: PLATE BOUNDARIES
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          • Topic: SOLID EARTH
          • Term: TECTONICS
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          • Variable_Level_3: CRUSTAL MOTION DIRECTION
        • Parameters
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          • Topic: SOLID EARTH
          • Term: TECTONICS
          • Variable_Level_1: PLATE TECTONICS
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        • Parameters
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          • Topic: SOLID EARTH
          • Term: TECTONICS
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          • Variable_Level_2: STRESS
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          • Term: TECTONICS
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        • Keyword: Stress orientation data analysis tool for Matlab
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        • Summary
          • Abstract: The distribution of data records for the maximum horizontal stress orientation SHmax in the Earth’s crust is sparse and very unequally. In order to analyse the stress pattern and its wavelength or to predict the mean SHmax orientation on a regular grid, statistical interpolation as conducted e.g. by Coblentz and Richardson (1995), Müller et al. (2003), Heidbach and Höhne (2008), Heidbach et al. (2010) or Reiter et al. (2014) is necessary. Based on their work we wrote the Matlab® script Stress2Grid that provides several features to analyse the mean SHmax pattern. The script facilitates and speeds up this analysis and extends the functionality compared to aforementioned publications. The script is complemented by a number of example and input files as described in the WSM Technical Report (Ziegler and Heidbach, 2017, http://doi.org/10.2312/wsm.2017.002). The script provides two different concepts to calculate the mean SHmax orientation on a regular grid. The first is using a fixed search radius around the grid point and computes the mean SHmax orientation if sufficient data records are within the search radius. The larger the search radius the larger is the filtered wavelength of the stress pattern. The second approach is using variable search radii and determines the search radius for which the variance of the mean SHmax orientation is below a given threshold. This approach delivers mean SHmax orientations with a user-defined degree of reliability. It resolves local stress perturbations and is not available in areas with conflicting information that result in a large variance. Furthermore, the script can also estimate the deviation between plate motion direction and the mean SHmax orientation.
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      • resource
        • title (xml:lang=en): Matlab script Stress2Grid
        • creator
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          • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0002-2288-2820
          • affiliation: GFZ German Research Centre for Geosciences, Potsdam, Germany
        • creator
          • creatorName: Heidbach, Oliver
          • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0001-8009-5422
          • affiliation: GFZ German Research Centre for Geosciences, Potsdam, Germany

    Files

    License: GNU General Public License, Version 3, 29 June 2007 Copyright © 2017 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany

    Software Description

    Documented by

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