A Matlab toolbox for Global Sensitivity Analysis
By Francesca Pianosi, Fanny Sarrazin, Thorsten Wagener. Environmental Modelling & Software, 2015
604 citations recorded by the source corpus.
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. SAFE implements several GSA methods and can easily integrate new ones.SAFE facilitates assessment of robustness/convergence and effective visualization.SAFE embeds good practice guidelines through workflow scripts.SAFE is intended for both non-specialists users and SA developers.
Subfields: Civil and Structural Engineering, Plant Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d3cb7be2c6bb138f5c44afc5d019d8a48999b592
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Fanny Sarrazin
- Thorsten Wagener
- Francesca Pianosi
- Thomas V. Schuler
- John F. Burkhart
- Aynom T. Teweldebrhan
In Plant Science
- Thomas V. Schuler
- John F. Burkhart
- Aynom T. Teweldebrhan
- Francesca Pianosi
- Thorsten Wagener
- Fanny Sarrazin
In Statistics and Probability
- Fanny Sarrazin
- Thorsten Wagener
- Francesca Pianosi
- Thomas V. Schuler
- John F. Burkhart
- Aynom T. Teweldebrhan
Citations in the corpus
- Global Sensitivity Analysis of environmental models: Convergence and validation (2016, methodology): “SA is a diagnostic tool that can guide model calibration and verification, support the prioritization of efforts for uncertainty reduction, or help with model-based decision-making (Norton, 2015; Pianosi et al., 2016; Song et al., 2015). Such purposes are generally implemented as four different obje”
- The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020, neutral): “For example, the method of Borgonovo (2007) measures this difference via the Borgonovo index, while the methods of Krzykacz-Hausmann (2001) and Pianosi and Wagener (2015, PAWN) use the mutual information and Kolmogorov-Smirnov test, respectively.”
- Parameter uncertainty analysis for an operational hydrological model using residual-based and limits of acceptability approaches (2018, methodology): “Matlab scripts from the SAFE toolbox (Pianosi et al., 2015) were used as a basis to characterize behavioral and nonbehavioral models. www.hydrol-earth-syst-sci.net/22/5021/2018/ Hydrol.”