The increasing availability of high-resolution climate data has greatly expanded the study of how the climate impacts humans and society. However, the processing of these multi-dimensional datasets poses significant challenges for researchers in this growing field, most of whom are social scientists. This paper introduces stagg, or “space-time aggregator”, a new R package that streamlines three critical components of climate data processing for impacts analysis: nonlinear transformation, spatial and temporal aggregation, and spatial weighting by social or economic variables. The package consolidates the data processing pipeline into a few lines of code, lowering barriers to entry for researchers and facilitating a larger and more diverse research community. The paper provides an overview of stagg's functions, followed by an applied example demonstrating the package's utility in climate impacts research. stagg has the potential to be a valuable tool in generating evidence-based estimates of the likely impacts of future climate change.

中文翻译：

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stagg：： 用于气候影响分析的数据预处理 R 包


高分辨率气候数据的日益普及极大地扩展了对气候如何影响人类和社会的研究。然而，这些多维数据集的处理对这个不断发展的领域的研究人员构成了重大挑战，其中大多数是社会科学家。本文介绍了 stagg 或“时空聚合器”，这是一个新的 R 包，它简化了用于影响分析的气候数据处理的三个关键组成部分：非线性变换、空间和时间聚合以及按社会或经济变量进行空间加权。该软件包将数据处理管道整合为几行代码，降低了研究人员的进入门槛，并促进了更大、更多样化的研究社区。该论文概述了 stagg 的功能，然后提供了一个应用示例，展示了该软件包在气候影响研究中的实用性。Stagg 有可能成为对未来气候变化的可能影响进行基于证据的估计的宝贵工具。