Interactive Earth system data cube visualization in Jupyter notebooks

doi:10.1080/20964471.2025.2471646

2025-02-28

Maximilian Söchting *

Gerik Scheuermann *

David Montero *

Miguel D. Mahecha *

DOI：10.1080/20964471.2025.2471646

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摘要

En 中文

可视化是解释地球系统科学中网格化时空数据集快速增长的关键。然而，当前的工具有常被设计为独立应用程序，未能充分集成到科学工作流中，且通常未设计用于直接与数据交互。在此，我们介绍Lexcube for Jupyter，一个开源工具，旨在促进在Jupyter笔记本中对3D数据立方体的交互式可视化。这种集成旨在赋能研究人员更有效地解释复杂数据集，例如在模型开发、数据整理或模型-数据比较期间。Lexcube for Jupyter基于S & ouml;chting等人（2024）建立的Lexcube.org架构，但进行了显著改进，使其成为科学Python工作流的一部分。Lexcube for Jupyter包括高效的数据处理策略，如分块数据访问和缓存，以及LZ4压缩的实现，以优化交互式会话期间的性能。采用所述技术，Lexcube for Jupyter相比现有工具显著减少了数据处理和可视化时间，促进了实时数据探索。

Keyword:

Interactive visualization

Earth system data cubes

Jupyter notebooks

期刊

Journal of Big Data

IF:

6.4

论文数:

1.5K

被引数:

1.1W

机构

Leipzig University

学者数:

2.0W

论文数: 1.6W

被引数: 17

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