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

Authors :
Ben R. Mather
R. Dietmar Müller
Sabin Zahirovic
John Cannon
Michael Chin
Lauren Ilano
Nicky M. Wright
Christopher Alfonso
Simon Williams
Michael Tetley
Andrew Merdith
Source :
Geoscience Data Journal, Vol 11, Iss 1, Pp 3-10 (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

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.

Details

Language :
English
ISSN :
20496060
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Geoscience Data Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.0623d65f94b44aeb1cb3b536d660716
Document Type :
article
Full Text :
https://doi.org/10.1002/gdj3.185