Extraction and visualization of orientation data from virtual geologic surfaces with MATLAB®
Avery J. Welker, John P. Hogan, Andreas Eckert
MethodsX · 2019
doi:10.1016/j.mex.2019.10.033 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
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.). Method name: Using MATLAB® to extract and visualize planar geologic attitudes from point-based data, Keywords: Planar data visualization, Structural geology, Stereographical analysis, Polar tangent diagram
Abstract licence: CC BY-NC
References14
14 more references, whose wording the paper’s licence keeps private.
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.