Description Usage Arguments Value References
tempawn calculates the PAWN sensitivity index for each time step of simulation results that were generated with the run_swat*() functions from the SWATplusR package. The PAWN method is implemented according to Pianosi and Wagener (2018). tempawn optionally includes the computation of the temporal sensitivity of a dummy parameter.
1 |
sim |
The simulation output object that results from a simulation with run_swat2012() or run_swatplus() from the SWATplusR package. |
var |
String vector of simulated variables that should be included in the
sensitivity analysis. |
stat |
The summary statistics that is used to compute the PAWN sensitivity
index. Pianosi and Wagener (2015) suggest to implement the median or max.
|
bins |
Number of bins into which each parameter dimension is separated.
|
dummy |
|
cores |
Parallel computing is implemented to reduce computation time. By default all cores are used. If a lower number of cores should be used set cores to a certain value. |
Returns a list of tables where each table provides the sensitivities for each time step of the simulation outputs to all the analyzed model parameters.
Pianosi, F. and Wagener T.: Distribution-based sensitivity analysis from a generic input-output sample, Environmental Modelling & Software, 108, 197-207, https://doi.org/10.1016/j.envsoft.2018.07.019, 2018
Pianosi, F. and Wagener T.: A simple and efficient method for global sensitivity analysis based on cumulative distribution functions, Environmental Modelling & Software, 67, 1-11, https://doi.org/10.1016/j.envsoft.2015.01.004, 2015
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