SPOTPY Wish List

This is a rough road map, which new functionality should find its way sooner or later into SPOTPY:

Additional sensitivity samplers

• Sobol sensitivity anaylsis
• Morris screening
• Derivative-based Global Sensitivity Measure (DGSM)
• PAWN

Muliobjective algorithms

• NSGA-II
• Multiobjective GLUE approach

Additional database support

• NetCDF
• More robust sql (takes at the moment a very limit amount of columns (n < 2000)

Documentation

• Use of notebooks in GitHub for a better visualization of examples and tutorials of the SPOTPY package

Tracking status of samplers

• Find a robust standard way to deal with different optima of signatures/objective/likelihood function, some have it at 0, some at 1, some at -inf, some at +inf, some somewhere else. However, all samplers try to increase the returned value.

Any further ideas and contributions are warmly welcome!