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Table 2 Variable selection techniques used in the integration of remote sensing and bioclimatic based variables

From: Integration of remote sensing and bioclimatic data for prediction of invasive species distribution in data-poor regions: a review on challenges and opportunities

S.no Variable selection methods References
1 Correlation (Pearson, Kendall, Spearman) Buermann et al. (2008); Engler et al. (2013); Gormley et al. (2011); Ng et al. (2018); Saatchi et al. (2008); Truong et al. (2017); Wakie et al. (2014); West et al. (2014); Zimmermann et al. (2007)
2 Principal component analysis Deblauwe et al. (2016); Feilhauer et al. 2012; Jensen et al. (2020)
3 Variance inflation factor Ahmadi et al. (2020); Ng et al. (2018); Shiferaw et al. (2019c)
4 Weighted mean fitted analysis approach Shiferaw et al. (2019a)
5 Permutation importance Wilson et al. (2013)
6 Expert knowledge Beaumont et al. (2005); Jones (2012); Ng et al. (2018)