Principal Coordinates Analysis (PCoA) is a multivariate technique used to explore and visualize similarities or dissimilarities in data by reducing its dimensionality while preserving the distance relationships between samples. It is particularly useful in ecological and biological studies for analyzing complex datasets, such as genetic or species composition data, where it helps in identifying patterns and clusters based on a distance matrix.