Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses

T. Iwanaga, W. Usher, Jon Herman
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引用次数: 58

Abstract

Sensitivity analysis is now considered a standard practice in environmental modeling. Several open-source libraries, such as the Sensitivity Analysis Library (SALib), have been published in the recent past aimed at simplifying the application of sensitivity analyses. Still, there remain issues in software usability and accessibility, as well as a lack of guidance in the interpretation of sensitivity analysis results. This paper describes the changes made and planned to SALib to advance the ease with which modelers may conduct sensitivity analysis and interpret results. We further offer our perspectives from the past 7 years of maintaining SALib for the consideration of those aspiring to launch their own software for sensitivity analysis, develop methodology, or those otherwise interested in becoming involved in a project like SALib. These include the value of a community of practice to foster best practices for sensitivity analysis, the potential for collaboration across different software (for sensitivity analysis) platforms, and the need to specifically support the software development that underpins computational science.
迈向SALib 2.0:提高全局敏感性分析的可访问性和可解释性
敏感性分析现在被认为是环境建模的标准做法。几个开源库,如敏感性分析库(SALib),最近已经发布,旨在简化敏感性分析的应用程序。然而,在软件可用性和可访问性方面仍然存在问题,并且在敏感性分析结果的解释方面缺乏指导。本文描述了对SALib所做的和计划的更改,以提高建模者进行敏感性分析和解释结果的便利性。我们进一步提供了过去7年维护SALib的观点,以供那些渴望推出自己的敏感性分析软件、开发方法或对参与SALib这样的项目感兴趣的人考虑。这些包括实践社区的价值,以促进敏感性分析的最佳实践,跨不同软件(敏感性分析)平台协作的潜力,以及特别支持支撑计算科学的软件开发的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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