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.
Mather, B.R., Müller, R.D., Zahirovic, S., Cannon, J., Chin, M., Ilano, L., Wright, N.M., Alfonso, C., Williams, S., Tetley, M., Merdith, A. (2023) Deep time spatio-temporal data analysis using pyGPlates with PlateTectonicTools and GPlately. Geoscience Data Journal, 1–8. Available from: https://doi.org/10.1002/gdj3.185
Happy Earth Science Week from the EarthByters! This is our annual chance to celebrate the science of the planet we all live on, and to share how much there is still to discover about it. The ground under your feet is moving. Right now, at about the speed your fingernails grow, and it has been … Read more…
EarthByte has released version 1.0 of an open-source tutorial suite, “Extending PyGMT into Deep Time via GPlately“, which combines GPlately’s plate-tectonic reconstructions with PyGMT’s publication-quality cartography. The AuScope-supported suite includes 80 Jupyter notebooks organised into 11 thematic learning clusters, with workflows ranging from a first paleogeographic map for undergraduates to research-grade applications. Topics covered include … Read more…
We end 2023 with the release of GPlately1.3, with a number of bugfixes and improvements. The cool functionality of GPlately includes generating gridded oceanic crustal ages and seafloor spreading rates from plate models with evolving plate boundaries – see example below using a plate model in a mantle reference frame. Happy holidays from the EarthByte … Read more…
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 … Read more…
We have just released GPlately1.0 as a conda package. GPlately was created to accelerate spatio-temporal data analysis leveraging pyGPlates and PlateTectonicTools within a simplified Python interface. GPlately is a python package that 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 … Read more…