9 Ordination: Principal Component Analysis
Principal Component Analysis (PCA) is a statistical method for reducing \(n\)-dimensional data (e.g., the \(n\) species in your data) to fewer axes that minimise the variance in the data.
Principal Component Analysis (PCA) is a statistical method for reducing \(n\)-dimensional data (e.g., the \(n\) species in your data) to fewer axes that minimise the variance in the data.