The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Matlab toolbox for Global Sensitivity Analysis
Open accessAbstract
Global Sensitivity Analysis (GSA) is increasingly used in the development and assessment of environmental models. Here we present a Matlab/Octave toolbox for the application of GSA, called SAFE (Sensitivity Analysis For Everybody). It implements several established GSA methods and allows for easily integrating others. All methods implemented in SAFE support the assessment of the robustness and convergence of sensitivity indices. Furthermore, SAFE includes numerous visualisation tools for the effective investigation and communication of GSA results. The toolbox is designed to make GSA accessible to non-specialist users, and to provide a fully commented code for more experienced users to complement their own tools. The documentation includes a set of workflow scripts with practical guidelines on how to apply GSA and how to use the toolbox. SAFE is open source and freely available for academic and non-commercial purpose. Ultimately, SAFE aims at contributing towards improving the diffusion and quality of GSA practice in the environmental modelling community.
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Cites
Global 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
Cited by
Global Sensitivity Analysis of environmental models: Convergence and validation
Sarrazin, F., Pianosi, F., & Wagener, T. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.02.005 · Cited by 391
Self-citationYang, D., Liu, W., Tang, L., Chen, L., Li, X., & Xu, X. (2019) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2018.10.011 · Cited by 328
Sensitivity analysis methods in the biomedical sciences
Qian, G., & Mahdi, A. (2020) · Mathematical Biosciences · doi:10.1016/j.mbs.2020.108306 · Cited by 169
Zhou, B., Shafii, M., Parsons, C. T., Passeport, E., Rezanezhad, F., Lisogorsky, A., & Van Cappellen, P. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.162749 · Cited by 22
Soetedjo, A., Nakhoda, Y. I., & Saleh, C. (2019) · Energies · doi:10.3390/en12193655 · Cited by 11
Metadata
- Authors
- Pianosi, F., Sarrazin, F., & Wagener, T.
- Venue
- Environmental Modelling & Software
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 70
- Pages
- 80-85
- ISSN
- 1364-8152 (ISSN-L)
- OpenAlex
- W1535712589
- Cited by
- 653
- References
- 1
- FWCI
- 38.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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