![]() ![]() Ok, so after my post a little while ago about converting contours to shapefiles, I spent a day adapting the approach for use in a in a dash-plotly app… and in general it works, and took a ~800 MB file down to a ~14 MB shapefile. This is a preliminary image, so I won’t dive into interpretation of the structure embedded here, so for now, just enjoy this mesmerizing GIF: The white dot on the surface is Yellowstone. The highlighted structures represent regions in the Earth’s mantle that exhibit slower seismic shear wave speeds when compared to a reference model and the faint grid in the middle of the model domain is at 410 km, the upper limit of the mantle transition zone. 2011, one of the 3D datasets available via IRIS ( ): from 50-1200 km deep, using the shear wave data from James et al. Here’s an example of a 3D rendering of negative velocity anomalies in the Western U.S. The result is a 3D rendering that maintains accumulated structure. Much of that difficultly comes from highlighting iso-surfaces, but yt is different in that it uses ray-tracing to project through a data set, integrating information as it goes. Seismologists generally avoid 3D plots in lieu of 2D slices of 3D data as it’s often hard to interpret 3D structure. Lately I’ve been working on using the yt library ( ) for 3D visualization of seismic data sets. ![]()
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