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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)