evalSens: Evaluating the SCAPE performance

Description Usage Arguments Details Author(s) See Also

View source: R/evalSens.R

Description

Evaluating the SCAPE performance

Usage

1
evalSens(SCAPE_res, Rb = NA)

Arguments

SCAPE_res

list: ouput from a successful run of a getQ10, getArrhenius or getLloydTaylor function

Rb

vector: in case it applies: an Rb time series

Details

Function to properly evaluating the model based on the SCAPE estimated sensitivities. A straight forward evaluation of the SCAPE predictions e.g. via the RMSE or other error metrics are possible, these could be overoptimistic. The reason is that the time varying basal respiration is extracted as part of the original observations. Hence, a model that includes this part of the signal is hence comparing a fraction of the signal with itself. The evaluation wrapper uses the output of the get*** model and performs the evaluation based on the spectrally decomposed signals (i.e. in frequency ranges where Rb does not play a direct role), using the same spectral method, parameterization, and surrogate setting. Metrics used here are

Author(s)

Fabian Gans, Miguel D. Mahecha, MPI BGC Jena, Germany, fgans@bgc-jena.mpg.de mmahecha@bgc-jena.mpg.de

See Also

getQ10, getLloydTaylor, getArrhenius


dpabon/ecofunr documentation built on July 15, 2020, 12:58 p.m.