In this SEEC Stats Toolbox seminar, Zaza Ngwenya talks to us about constrained ordination. Ordination extracts trends in a dataset in the form of continuous axes. The aim of ordination methods is to represent the relationships in the dataset as faithfully as possible using fewer dimensions than the initial number of dimensions in the dataset. The data is then visualized using this reduced number of dimensions.
Watch the video and download the slides.
