2022
DOI: 10.1007/s13157-022-01621-y
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Modelling Changes in Distribution of the Rheophytic Tree Species Barringtonia Acutangula (L.) Gaertn. Due to Climate Change

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Cited by 3 publications
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“…To reduce multicollinearity among the predictor variables and the overfitting of the model, we performed variance inflation factor (or VIF) in R (Graham, 2003 ; Naimi & Araujo, 2016 ). The variable with the highest VIF was removed and computed for the remaining variables until the VIF was below 10 (Hazarika et al, 2022 ). Furthermore, a specific set of variables was employed for the modelling process, focusing on minimizing multicollinearity and studying the local phenology of the species (Table 1 ).…”
Section: Methodsmentioning
confidence: 99%
“…To reduce multicollinearity among the predictor variables and the overfitting of the model, we performed variance inflation factor (or VIF) in R (Graham, 2003 ; Naimi & Araujo, 2016 ). The variable with the highest VIF was removed and computed for the remaining variables until the VIF was below 10 (Hazarika et al, 2022 ). Furthermore, a specific set of variables was employed for the modelling process, focusing on minimizing multicollinearity and studying the local phenology of the species (Table 1 ).…”
Section: Methodsmentioning
confidence: 99%