2022
DOI: 10.1007/s00338-022-02325-9
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Heat, human, hydrodynamic, and habitat drivers measured from space correlate with metrics of reef health across the South Pacific

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Cited by 4 publications
(1 citation statement)
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“…TSS) from multiple drivers (wind, waves and tides). By implementing bootstrapping, random forests implicitly account for both spatial and temporal autocorrelation while also avoiding overfitting, thus improving model stability (Bakker et al ., 2022; Talebi et al ., 2022). Normalization is unnecessary for random forest modelling and, therefore, no prior transformations were performed on our driver data.…”
Section: Methodsmentioning
confidence: 99%
“…TSS) from multiple drivers (wind, waves and tides). By implementing bootstrapping, random forests implicitly account for both spatial and temporal autocorrelation while also avoiding overfitting, thus improving model stability (Bakker et al ., 2022; Talebi et al ., 2022). Normalization is unnecessary for random forest modelling and, therefore, no prior transformations were performed on our driver data.…”
Section: Methodsmentioning
confidence: 99%