What is Principal Component Analysis in GIS?
PCA. You’ve probably seen this acronym before. PCA stands for “Principal Component Analysis“.
But what is it and how is it used in GIS and remote sensing?
Sometimes, variables are highly correlated in such a way that it would be duplicate information found in another variable. Principal component analysis identifies duplicate data over several datasets