Deep time spatio-temporal data analysis using pyGPlates with PlateTectonicTools and GPlately

Apr 5, 2023·
Ben Mather
,
Dietmar Müller
,
Sabin Zahirovic
,
John Cannon
,
Michael Chin
,
Lauren Ilano
,
Nicky M. Wright
,
Christopher Alfonso
,
Simon Williams
,
Michael Tetley
,
Andrew Merdith
· 1 min read
Abstract
PyGPlates is an open-source Python library to visualize and edit plate tectonic reconstructions created using GPlates. The Python API affords a greater level of flexibility than GPlates to interrogate plate reconstructions and integrate with other Python workflows. GPlately was created to accelerate spatio-temporal data analysis leveraging pyGPlates and PlateTectonicTools within a simplified Python interface. This object-oriented package enables the reconstruction of data through deep geologic time (points, lines, polygons and rasters), the interrogation of plate kinematic information (plate velocities, rates of subduction and seafloor spreading), the rapid comparison between multiple plate motion models, and the plotting of reconstructed output data on maps. All tools are designed to be parallel-safe to accelerate spatio-temporal analysis over multiple CPU processors.
Type
Publication
Geoscience Data Journal
publications

Plain Language Summary

Reconstructing how the Earth’s tectonic plates have moved over hundreds of millions of years is essential for understanding everything from past climates to the distribution of natural resources. GPlately is an open-source Python package that makes it easier for researchers to work with plate tectonic reconstructions by providing a streamlined interface built on top of pyGPlates — the Python library for the GPlates plate reconstruction software.

With GPlately, scientists can reconstruct the past positions of continents, ocean basins, and geological features through deep time. The package can calculate plate velocities, rates of subduction and seafloor spreading, and allows rapid comparison between different plate motion models. Results can be plotted on maps to visualize how the Earth’s surface has changed over billions of years.

All of GPlately’s tools are designed to run efficiently on multiple processors, making it practical to analyse large datasets that span vast stretches of geological time. The package is freely available and is intended to lower the barrier for researchers who want to integrate plate tectonic reconstructions into their scientific workflows.