Reproducible Python/PyGMT workflow testing the geomorphic imprint of subducting seamounts and ridges on Pacific trenches — axial-depth anomaly, inner-slope scarring and along-strike segmentation — from open bathymetry with statistics and a random-forest classifier.
python machine-learning random-forest reproducible-research scikit-learn geospatial open-data geophysics earth-science gmt morphometry geomorphology bathymetry plate-tectonics pygmt pacific-ocean subduction marine-geology seamounts ocean-trenches
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Updated
Sep 22, 2026 - Python