Accelerating spatio -temporal data analysis using pyGPlates

The GIS interface of GPlates is cumbersome for spatio -temporal data analysis PyGPlates is an open-source Python library to visualise 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 work- flows. https:// www.gplates.org /docs/ pygplates / Low-level detail of pyGPlates is challenging for new users to Python Installation is not so straightforward GPlately was created to accelerate spatio -temporal data analysis within a simplified Python interface. This object-oriented package enables: Reconstruction of data through deep geologic time (points, lines, polygons, and rasters ) Interrogation of plate kinematic information (plate velocities, rates of subduction and spreading) Rapid comparison between multiple plate models Plotting of reconstructed output data on maps. All tools are designed to be parallel-safe to accelerate spatio -temporal analysis over multiple CPU processors. https:// github.com / GPlates / gplately

Feb 14, 2023 9:00 AM — 10:00 AM