Accelerating spatio -temporal data analysis using pyGPlates

Feb 14, 2023·
Dr. Ben Mather
Dr. Ben Mather
· 0 min read
Abstract
GPlately is an open-source Python package built on pyGPlates that accelerates spatio-temporal data analysis for plate tectonic reconstructions. It provides a simplified, object-oriented interface for reconstructing geological data through deep time, interrogating plate kinematics, comparing multiple plate models, and visualising results on maps—all designed to be parallel-safe for high-performance computing.
Date
Feb 14, 2023 9:00 AM — 10:00 AM
Location

Sydney, Australia

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Dr. Ben Mather
Authors
ARC Industry Research Fellow

I am an ARC Industry Research Fellow in the School of Geography, Earth and Atmospheric Sciences at The University of Melbourne. I am an expert in fusing Earth evolution models with data to understand how groundwater moves critical minerals through the landscape. Related research interests include the cycling of volatiles within the Earth, probabilistic thermal models of the lithosphere to unravel past tectonic and climatic events, and understanding the how enigmatic volcanoes form.

I am a vocal advocate for the integral role of geoscience in responding to challenges we face in transitioning to the carbon-neutral economy. As an expert in my field, I have been interviewed in national and international print media, TV, and radio on a wide variety of subjects including earthquakes, volcanoes, groundwater, and critical minerals.