PCA/MAF - Isatis.neo by Geovariances

Secondly, we have Min/Max Autocorrelation Factors (or MAF). MAF is an alternative to PCA that spatially decorrelates variables at a given lag distance. This spatial decorrelation generally makes the modeling assumption of independence more appropriate. The final back-transformation restores the original correlation to the modeled variables.