“…For a given pollen record with
samples and
taxa, the assemblage matrix
(thus with dimension
) consists of proportions obtained by dividing the pollen counts of each taxa by the total pollen counts for a given sample, and therefore the rows of the matrix
sum up to 1 by definition. In order to increase the contribution of less frequent taxa and decrease the interdependence of proportion data, we square‐root transform the assemblage matrices before performing the PCA (Birks,
1998). The principal components correspond to the eigenvectors obtained by diagonalization of the (column‐centred) covariance matrix.…”