Articlehybrid2015

A Matlab toolbox for Global Sensitivity Analysis

Francesca Pianosi · Fanny Sarrazin · Thorsten Wagener

655 citations0/0 files storedEnvironmental Modelling & Software

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Probabilistic and Robust Engineering Design Simulation Techniques and Applications Gaussian Processes and Bayesian Inference

Abstract

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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References

2007Global Sensitivity Analysis. The Primer 1991Factorial Sampling Plans for Preliminary Computational Experiments 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory

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