sensitivity-master

Global sensitivity analysis identifies key parameters driving model behavior in nonlinear, multi-parameter models. It uses methods like Morris screening and Sobol indices to quantify parameter importance and reveal where interactions occur.

The best way to perform Sobol and Morris analysis is using SALib for global sensitivity analysis. Morris provides quick parameter screening, while Sobol precisely quantifies parameter importance and interactions to inform model calibration.

Yes, you can use SALib to run sensitivity analysis on complex engineering, ecology, or economics simulations. It applies to nonlinear, multi-parameter models where parameter interactions matter, supporting parallel evaluation to handle computationally intensive simulations.

To generate sensitivity analysis plots and CSV results, run automated sample generation and analysis through SALib. This process outputs Morris scatter plots, Sobol bar charts, and interaction heatmaps alongside structured CSV files containing the quantified parameter importance metrics.

Use Morris screening for quick preliminary parameter importance analysis, then apply Sobol indices for precise quantification of parameter interactions. Morris is faster for narrowing down many parameters, while Sobol provides exact sensitivity measures for the remaining critical drivers.