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.

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使用 pyGPlates 与 PlateTectonicTools 和 GPlately 进行深度时空数据分析

PyGPlates 是一个开源 Python 库，用于可视化和编辑使用 GPlates 创建的板块构造重建。Python API 比 GPlates 提供更高水平的灵活性来询问板重建并与其他 Python 工作流程集成。创建 GPlately 是为了在简化的 Python 界面中利用 pyGPlates 和 PlateTectonicTools 加速时空数据分析。这种面向对象的软件包能够通过深层地质时间（点、线、多边形和栅格）重建数据、询问板块运动信息（板块速度、俯冲速率和海底扩张）、多个板块运动模型之间的快速比较，以及在地图上绘制重建的输出数据。所有工具均设计为并行安全，以加速多个 CPU 处理器上的时空分析。