Visualization of Multi‐Variate Scientific Data

TLDR

The paper surveys and categorizes state‑of‑the‑art visualization techniques for complex multivariate data, aiming to provide a comprehensive overview and discuss recent general‑purpose and problem‑specific methods. It examines how these techniques operate at different stages of the visualization pipeline for scalar, vector, and tensor datasets, and presents a taxonomy of their application. The authors highlight combinable and hybrid approaches that may spur new directions in visualization research.

Abstract

Abstract In this state‐of‐the‐art report we discuss relevant research works related to the visualization of complex, multi‐variate data. We discuss how different techniques take effect at specific stages of the visualization pipeline and how they apply to multi‐variate data sets being composed of scalars, vectors and tensors. We also provide a categorization of these techniques with the aim for a better overview of related approaches. Based on this classification we highlight combinable and hybrid approaches and focus on techniques that potentially lead towards new directions in visualization research. In the second part of this paper we take a look at recent techniques that are useful for the visualization of complex data sets either because they are general purpose or because they can be adapted to specific problems.