Skip to main content

Research Repository

Advanced Search

Elementary effects for models with dimensional inputs of arbitrary type and range: Scaling and trajectory generation

Rutjens, Rik J.L.; Band, Leah R.; Jones, Matthew D.; Owen, Markus R.

Authors

Rik J.L. Rutjens

LEAH BAND leah.band@nottingham.ac.uk
Professor of Mathematical Biology

MATTHEW JONES MATTHEW.JONES@NOTTINGHAM.AC.UK
Professor of Quaternary Science



Contributors

Abel C.H. Chen
Editor

Abstract

The Elementary Effects method is a global sensitivity analysis approach for identifying (un)important parameters in a model. However, it has almost exclusively been used where inputs are dimensionless and take values on [0, 1]. Here, we consider models with dimensional inputs, inputs taking values on arbitrary intervals or discrete inputs. In such cases scaling effects by a function of the input range is essential for correct ranking results. We propose two alternative dimensionless sensitivity indices by normalizing the scaled mean or median of absolute effects. Testing these indices with 9 trajectory generation methods on 4 test functions (including the Penman-Monteith equation for evapotranspiration) reveals that: i) scaled elementary effects are necessary to obtain correct parameter importance rankings; ii) small step-size methods typically produce more accurate rankings; iii) it is beneficial to compute and compare both sensitivity indices; and iv) spread and discrepancy of the simulation points are poor proxies for trajectory generation method performance.

Citation

Rutjens, R. J., Band, L. R., Jones, M. D., & Owen, M. R. (2023). Elementary effects for models with dimensional inputs of arbitrary type and range: Scaling and trajectory generation. PLoS ONE, 18(10), Article e0293344. https://doi.org/10.1371/journal.pone.0293344

Journal Article Type Article
Acceptance Date Oct 10, 2023
Online Publication Date Oct 25, 2023
Publication Date Oct 25, 2023
Deposit Date Oct 26, 2023
Publicly Available Date Oct 26, 2023
Journal PloS one
Electronic ISSN 1932-6203
Publisher Public Library of Science
Peer Reviewed Peer Reviewed
Volume 18
Issue 10
Article Number e0293344
DOI https://doi.org/10.1371/journal.pone.0293344
Keywords Permutation; Simulation and modeling; Ecology and environmental sciences; Computerized simulations; Distance measurement; Measurement; Thermal conductivity; Visual inspection
Public URL https://nottingham-repository.worktribe.com/output/26531566
Publisher URL https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0293344

Files





You might also like



Downloadable Citations