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Table 1 Mean, minimum, and maximum values of the variance inflation factor (VIF) as a measure of the collinearity observed in the different sets of variables

From: Assessing the effects of variables and background selection on the capture of the tick climate niche

Set VIF: Average (Min/Max)
Harmonic regression MODIS 0.1° 1.2 (1.0/3.3)
Harmonic regression MODIS 0.05° 1.1 (1.0/3.2)
Monthly variables MODIS 0.1° 8.2 (2.0/189.1)
Monthly variables MODIS 0.05° 8.3 (2.1/177.4)
PCA MODIS 0.1° 1.2 (1.1/2.2)
PCA MODIS 0.05° 1.1 (1.0/2.1)
WorldClim 12.2 (3.0/196.0)
WorldClim (Bio) 3.5 (1.0/125.4)
CliMond (Temperature + Rainfall) 12.1 (3.6/126.1)
CliMond (Temperature + RH) 12.4 (4.1/128.4)
CliMond (Temperature + SD) 13.5 (4.0/119.5)
  1. The mean VIF averages such values for every pair-to-pair comparison between variables. Minimum and maximum values result from the absolute minimum and maximum comparisons: a high maximum VIF reflects high collinearity between, at least, two layers of covariates. A value of VIF = 10 is considered as the allowable maximum.