Keynotes

Multidimensional visualization is one of the core topics of visualization research.It deals with basic problems of data analysis in visualization and many other disciplines.Despite the long history of work in multidimensional visualization, it is still a striving field with much ongoing progress and many connections to various applications.This talk starts with a brief overview and some theoretical considerations.Then, I illustrate recent advancements, with a focus on presenting results from my own work.In particular, I cover basic visual representations in the form of scatterplots, scatterplot matrices, and parallel coordinates.These are then combined with further analytical support, including dimensionality reduction, local correlation analysis, machine learning, and interactive exploration for visual analytics.I also discuss how multidimensional visualization can serve as a link between information visualization and scientific visualization, and how it can be extended to include uncertainty visualization.The talk closes with an outlook on future research directions.