I will create some random data of fault measurements and let's analyze it using a rose diagram. Rose diagramsĪ Rose Diagram shows the distributions of directional data. Go ahead and explore the examples in the mplstereonet repository.
#ROSE DIAGRAM AND POLE DENSITY STEREONET DATA ANALYSIS ZIP#
get_legend_handles_labels () by_label = OrderedDict ( zip ( labels, handles )) ax. grid () # This will avoid repetition in the legend: handles, labels = ax. set_title ( title, y = 1.10, fontsize = 15 ) ax. pole ( strike, dip, c = 'r', label = 'Beta axis (Pole of GC)' ) for ax, title in zip ( fig. plane ( strike, dip, c = 'g', label = 'Fitted GC' ) ax. pole ( strikes, dips, c = 'k', label = 'Poles (Fold Limbs)' ) ax. add_subplot ( 122, projection = 'stereonet' ) ax. pole ( strike, dip, c = 'r', label = 'Beta axis (Intersection of Planes)' ) # Method 2 ax = fig. plane ( strikes, dips, c = 'k', label = 'Planes (Fold Limbs)' ) strike, dip = mplstereonet. add_subplot ( 121, projection = 'stereonet' ) ax. figure ( figsize = ( 10, 5 )) # Method 1 ax = fig. Mplstereonet also includes a number of utilities to parse structural measurements in either quadrant or azimuth form such that they follow the right-hand-rule.įrom collections import OrderedDict fig = plt. Mplstereonet also provides a few different methods of producing contoured orientation density diagrams. As an example, 315/30S would be 135/30 follwing the right-hand rule. Mplstereonet provides lower-hemisphere equal-area and equal-angle stereonets for matplotlib.Īll planar measurements are expected to follow the right-hand-rule to indicate dip direction. Some extra info, from the the mplstereonet readme:
We are going to explore this module in this tutorial. Joe created a stereonet module for matplotlib called mplstereonet. In Python, stereonet are veeery simple to do thanks to Joe Kington (a geologist!).
If you want to get more info on stereonets: A Blog Post, A Lab About Stereonets. It does not preserve distances or areas of the features that are projected in it, just angles.įor today's examples I will assume you already understand how a stereonet works and are familiar with: This projection is fast and efficient when we just want to analyze angular relationships. Stereonet 10.0 will only plot or analyze data that are checked in the Data Set. This is why the Stereographic Projection and the Stereonets became so important to geologists. the plane as you drag to move the pole around, the corresponding great. We don't always need to design super complex 3D models just to figure out the angle between two planes, right? Studying these relationships requires some techniques to put real 3D features into simple 2D visualizations. Geoscientists usually work with lines, planes and their angular relationships.
0 kommentar(er)
