ordinaatiomenetelmät
Ordinaatiomenetelmät, often translated as ordination methods, are statistical techniques used in ecology and other fields to analyze and visualize the relationships between a set of samples and the variables measured within them. The primary goal is to represent complex, high-dimensional data in a lower-dimensional space, typically a two-dimensional plot, while preserving as much of the original variation as possible. This allows researchers to identify patterns, gradients, and groupings that might not be apparent in the raw data.
Common ordination methods include Principal Component Analysis (PCA), Principal Coordinates Analysis (PCoA, also known as Multidimensional
The output of ordination is typically a scatter plot where each point represents a sample. The position