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SRS-GDA: A spatial random sampling toolbox for grid-based hydro-climatic data analysis in environmental change studies
Environmental Modelling & Software ( IF 4.9 ) Pub Date : 2019-12-05 , DOI: 10.1016/j.envsoft.2019.104598
Han Wang , Yunqing Xuan

We present in this paper the development of a new, open-source MATLAB toolbox SRS-GDA that aims to provide random spatial sampling of grid-based hydro-climatic datasets for environmental change studies. This toolbox addresses the needs of quantifying how hydro-climatic responses, which are often driven by grid-based forcing datasets such as climate model projections, vary with location and scale. The toolbox can be used to carry out random spatial sampling of grid-based quantities with various constraints: shape, size, location, dominant orientation and resolution. A case study of a large dataset, the GEAR rainfall dataset is supplied to demonstrate the typical uses case of this toolbox. The provision of the toolbox for downloading together with the sample data are also presented.



中文翻译:

SRS-GDA:用于环境变化研究中基于网格的水文气候数据分析的空间随机采样工具箱

我们在本文中介绍了新的开源MATLAB工具箱SRS-GDA的开发,该工具箱旨在为环境变化研究提供基于网格的水文气候数据集的随机空间采样。该工具箱满足了量化水文气候响应的需求,而水文气候响应通常是由基于网格的强迫数据集(如气候模型预测)驱动的,其位置和规模如何变化。该工具箱可用于对具有各种约束条件的基于网格的数量进行随机空间采样:形状,大小,位置,主导方向和分辨率。以大型数据集为例,提供了GEAR降雨数据集,以演示此工具箱的典型使用情况。还提供了用于下载的工具箱以及示例数据。

更新日期:2019-12-05
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