2026-06-18T09:44:17Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:73262026-06-10T10:16:42ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.2.5.2022.002 Wrona, Thilo Thilo Wrona 0000-0002-9707-0595 GFZ German Research Centre for Geosciences, Potsdam, Germany Brune, Sascha Sascha Brune 0000-0003-4985-1810 GFZ German Research Centre for Geosciences, Potsdam, Germany Gayrin, Pauline Pauline Gayrin 0000-0002-1869-1044 GFZ German Research Centre for Geosciences, Potsdam, Germany Hake, Tim Tim Hake GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2022 clustering signal-processing image-processing network-analysis deformation faults Python 3 EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > STATISTICAL APPLICATIONS EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > TRANSFORMATION/CONVERSION Wrona, Thilo Thilo Wrona 0000-0002-9707-0595 GFZ German Research Centre for Geosciences, Potsdam, Germany Brune, Sascha Sascha Brune 0000-0003-4985-1810 GFZ German Research Centre for Geosciences, Potsdam, Germany Gayrin, Pauline Pauline Gayrin 0000-0002-1869-1044 GFZ German Research Centre for Geosciences, Potsdam, Germany Hake, Tim Tim Hake GFZ German Research Centre for Geosciences, Potsdam, Germany Wrona, Thilo GFZ Potsdam Software DOI of paper when available 0.1-alpha Apache License, Version 2.0; Copyright (C) 2022 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences Fatbox - Fault Analysis Toolbox is a python module for the extraction and analysis of faults (and fractures) in raster data. We often observer faults in 2-D or 3-D raster data (e.g. geological maps, numerical models or seismic volumes), yet the extraction of these structures still requires large amounts of our time. The aim of this module is to reduce this time by providing a set of functions, which can perform many of the steps required for the extraction and analysis of fault systems.

The basic idea of the module is to describe fault systems as graphs (or networks) consisting of nodes and edges, which allows us to define faults as components, i.e. sets of nodes connected by edges, of a graph. Nodes, which are not connected through edges, thus belong to different components (faults).
Copyright [2022] Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.