Robert Laramee

By Tony McLoughlin and Robert Laramee

Part of the book: Computer Graphics

By Chao Tong and Robert S. Laramee

Data visualization is a general term that describes any effort to help people enhance their understanding of data by placing it in a visual context. We present a ubiquitous pattern of knowledge evolution that the collective digital society is experiencing. It starts with a challenge or goal in the real world. When implementing a real-world solution, we often run into barriers. Creating a digital solution to an analogue problem create massive amounts of data. Visualization is a key technology to extract meaning from large data sets.

Part of the book: Computer Graphics and Imaging

By Dean P. Thomas, Rita Borgo, Robert S. Laramee and Simon J. Hands

This survey paper provides an overview of topological visualisation techniques for scalar data sets. Topological algorithms are used to reduce scalar fields to a skeleton by mapping critical changes in the topology to the vertices of graph structures. These can be visualised using graph drawing techniques or used as a method of seeding meshes of distinct objects existing in the data. Many techniques are discussed in detail, beginning with a review of algorithms working on scalar fields defined with a single variable, and then generalised to multivariate and temporal data. The survey is completed with a discussion of methods of presenting data in higher dimensions.

Part of the book: Computer Graphics and Imaging