Defining model complexity: An ecological perspective

Defining model complexity: An ecological perspective

Abstract Models have become a key component of scientific hypothesis testing and climate and sustainability planning, as enabled by increased data availability and computing power. As a result, understanding how the perceived ‘complexity’ of a model corresponds to its accuracy and predictive power h...

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Détails bibliographiques
Auteurs principaux: Charlotte A. Malmborg, Alyssa M. Willson, L. M. Bradley, Meghan A. Beatty, David H. Klinges, Gerbrand Koren, Abigail S. L. Lewis, Kayode Oshinubi, Whitney M. Woelmer
Format: Article
Langue:English
Publié: Wiley 2024-05-01
Collection:Meteorological Applications
Sujets:
ecology
evaluation
forecasting
model development
modelling
prediction
Accès en ligne:https://doi.org/10.1002/met.2202

Internet

https://doi.org/10.1002/met.2202

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