The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses
Open accessAbstract
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.
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Cites
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BackgroundGlobal Sensitivity Analysis. The Primer
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2007) · doi:10.1002/9780470725184 · Cited by 6,430
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A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output
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Making best use of model evaluations to compute sensitivity indices
Saltelli, A. (2002) · Computer Physics Communications · doi:10.1016/s0010-4655(02)00280-1 · Cited by 2,228
An effective screening design for sensitivity analysis of large models
Campolongo, F., Cariboni, J., & Saltelli, A. (2007) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2006.10.004 · Cited by 2,011
Sensitivity analysis of environmental models: A systematic review with practical workflow
Pianosi, F., Beven, K., Freer, J., Hall, J. W., Rougier, J., Stephenson, D. B., & Wagener, T. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.02.008 · Cited by 1,704
SALib: An open-source Python library for Sensitivity Analysis
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Metadata
- Authors
- Iwanaga, T., Usher, W., & Herman, J.
- Venue
- Socio-Environmental Systems Modelling
- Publisher
- Wageningen University and Research
- Published
- 2022-05-31
- Volume
- 4
- Pages
- 18155
- ISSN
- 2663-3027 (ISSN-L)
- OpenAlex
- W4312362262
- Cited by
- 367
- References
- 55
- FWCI
- 45.28
- Type
- journal article
- Language
- en
- Open access
- diamond
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