10.5880/wsm.2017.002 eng dataset GFZ German Research Centre for Geosciences datapub@gfz-potsdam.de http://www.gfz-potsdam.de Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences pointOfContact 2019-05-06 urn:ogc:def:crs:EPSG:4326 Matlab script Stress2Grid 2019-05-06 revision doi:10.5880/wsm.2017.002 Ziegler, Moritz GFZ German Research Centre for Geosciences, Potsdam, Germany author Heidbach, Oliver GFZ German Research Centre for Geosciences, Potsdam, Germany author GFZ German Rersearch Centre for Geosciences GFZ German Research Centre for Geosciences, Potsdam, Germany originator GFZ Data Services publisher 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. Complete Heidbach, Oliver GFZ German Research Centre for Geosciences, Potsdam, Germany heidbach@gfz-potsdam.de pointOfContact World Stress Map Stress orientation data analysis tool for Matlab EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS NASA/GCMD Earth Science Keywords publication GNU General Public License, Version 3, 29 June 2007 Copyright © 2017 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany GNU General Public License, Version 3, 29 June 2007 Copyright © 2017 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany 10.2312/wsm.2017.002 DOI IsDocumentedBy 10.5880/wsm.2016.001 DOI IsSupplementTo 10.5880/wsm.2019.002 DOI IsPreviousVersionOf eng geoscientificInformation http://doi.org/10.5880/wsm.2017.002 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information