Paper annotation: Model accuracy is likely to increase with decreasing grain size. However, successful model transferability may require optimization of model grain size.
created: 2026-05-21T08:09:35.022Z
creator: Anne Fouilloux
license: https://creativecommons.org/licenses/by/4.0/
has nanopub type: cites
was created at: platform.sciencelive4all.org
type: Nanopublication
has assertion: assertion
has provenance: provenance
has publication info: pubinfo

sig
has algorithm: RSA
signed by: Anne Fouilloux

s41598-018-25437-1
has quoted text: Model accuracy is likely to increase with decreasing grain size. However, successful model transferability may require optimization of model grain size.
comment: An important counterweight to the “finer is always better” assumption: in a Rhododendron ponticum transferability test, the finest model (50 m) performed worse (CBI 0.77) than a medium resolution (300 m, CBI 0.90), while the coarsest (1 km) performed worst (CBI 0.65). For the DestinE Climate-DT era, higher resolution does not automatically mean better projections — spatial grain still requires empirical justification.