Rik J.L. Rutjens
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
LEAH BAND leah.band@nottingham.ac.uk
Professor of Mathematical Biology
MATTHEW JONES MATTHEW.JONES@NOTTINGHAM.AC.UK
Professor of Quaternary Science
Professor MARKUS OWEN MARKUS.OWEN@NOTTINGHAM.AC.UK
Professor of Mathematical Biology
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
journal.pone.0293344
(3.6 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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