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Extraction and visualization of orientation data from virtual geologic surfaces with MATLAB®

High-resolution visualization of surfaces of geologic interest, at a multitude of scales, using 3D point cloud technologies provides an opportunity to analyze spatial relationships of surfaces using orientation data. We present a MATLAB® script that produces planar geologic attitude data (e.g., stri...

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Autores principales: Welker, Avery J., Hogan, John P., Eckert, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883297/
https://www.ncbi.nlm.nih.gov/pubmed/31799132
http://dx.doi.org/10.1016/j.mex.2019.10.033
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author Welker, Avery J.
Hogan, John P.
Eckert, Andreas
author_facet Welker, Avery J.
Hogan, John P.
Eckert, Andreas
author_sort Welker, Avery J.
collection PubMed
description High-resolution visualization of surfaces of geologic interest, at a multitude of scales, using 3D point cloud technologies provides an opportunity to analyze spatial relationships of surfaces using orientation data. We present a MATLAB® script that produces planar geologic attitude data (e.g., strike, dip, and dip-direction data) from 3D datasets (e.g., point clouds, 3D scanning). The method utilizes Cartesian coordinates of triangular planar surfaces and converts them into matrices of conventional geologic attitude data. Spatial relationships among data points can be investigated, using polar tangent diagrams, stereographic analysis, or geologic curvature analysis. We utilize this script to create “synthetic” graphical plots (e.g., stereograms, tangent diagrams) from geomechanically realistic, virtual, folded surfaces produced by dynamic modeling. Synthetic graphical diagrams are of considerable usefulness in interpreting graphical plots (e.g., stereograms) of attitude data from natural folded rock surfaces, particularly in locations with poor exposure. • This script outputs attitude data (strike, dip, and dip direction) in a spreadsheet and as a text file for use in other visualization software. • A tangent diagram is created and displayed in this script for rapid visualization and fold shape assessment. • The MATLAB script is readily modified to accept multiple data formats for input (e.g., MATLAB variables, *.csv files, etc.) and output (e.g., *.csv files, *.txt files, etc.).
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spelling pubmed-68832972019-12-03 Extraction and visualization of orientation data from virtual geologic surfaces with MATLAB® Welker, Avery J. Hogan, John P. Eckert, Andreas MethodsX Earth and Planetary Science High-resolution visualization of surfaces of geologic interest, at a multitude of scales, using 3D point cloud technologies provides an opportunity to analyze spatial relationships of surfaces using orientation data. We present a MATLAB® script that produces planar geologic attitude data (e.g., strike, dip, and dip-direction data) from 3D datasets (e.g., point clouds, 3D scanning). The method utilizes Cartesian coordinates of triangular planar surfaces and converts them into matrices of conventional geologic attitude data. Spatial relationships among data points can be investigated, using polar tangent diagrams, stereographic analysis, or geologic curvature analysis. We utilize this script to create “synthetic” graphical plots (e.g., stereograms, tangent diagrams) from geomechanically realistic, virtual, folded surfaces produced by dynamic modeling. Synthetic graphical diagrams are of considerable usefulness in interpreting graphical plots (e.g., stereograms) of attitude data from natural folded rock surfaces, particularly in locations with poor exposure. • This script outputs attitude data (strike, dip, and dip direction) in a spreadsheet and as a text file for use in other visualization software. • A tangent diagram is created and displayed in this script for rapid visualization and fold shape assessment. • The MATLAB script is readily modified to accept multiple data formats for input (e.g., MATLAB variables, *.csv files, etc.) and output (e.g., *.csv files, *.txt files, etc.). Elsevier 2019-11-02 /pmc/articles/PMC6883297/ /pubmed/31799132 http://dx.doi.org/10.1016/j.mex.2019.10.033 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Earth and Planetary Science
Welker, Avery J.
Hogan, John P.
Eckert, Andreas
Extraction and visualization of orientation data from virtual geologic surfaces with MATLAB®
title Extraction and visualization of orientation data from virtual geologic surfaces with MATLAB®
title_full Extraction and visualization of orientation data from virtual geologic surfaces with MATLAB®
title_fullStr Extraction and visualization of orientation data from virtual geologic surfaces with MATLAB®
title_full_unstemmed Extraction and visualization of orientation data from virtual geologic surfaces with MATLAB®
title_short Extraction and visualization of orientation data from virtual geologic surfaces with MATLAB®
title_sort extraction and visualization of orientation data from virtual geologic surfaces with matlab®
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883297/
https://www.ncbi.nlm.nih.gov/pubmed/31799132
http://dx.doi.org/10.1016/j.mex.2019.10.033
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