Research Institute of Visual Computing

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Visualization for the Physical Sciences

Authors: Dan R. Lipsa 1, Robert S. Laramee 1, Simon J. Cox 2, Jonathan C. Roberts 3, and Rick Walker 3

DOI: 10.1111/j.1467-8659.2012.03184.x/pdf

Abstract:

Close collaboration with other scientific fields is seen as an important goal for the visualization community by leading researchers in visualization. Yet, engaging in a scientific collaboration can be challenging. Physical sciences, with its array of research directions, provide many exciting challenges for a visualization scientist which in turn create ample possibilities for collaboration. We present the first survey of its kind that provides a comprehensive view on existing work on visualization for the physical sciences. We introduce a novel classification scheme based on application area, data dimensionality and main challenge addressed and apply this classification scheme to each contribution from the literature. Our classification highlights mature areas in visualization for the physical sciences and suggests directions for future work. Our survey serves as a useful starting point for those interested in visualization for the physical sciences, namely astronomy, chemistry, earth sciences and physics.

Link to Paper

Authors

Dr Dan Lipsa

Dr Dan Lipsa

Data visualization and techniques to deal with large data.

Dr Robert S Laramee

Dr Robert S Laramee

Data visualization including information visualization, flow visualization, and tensor field visualization.

Prof Jonathan C Roberts

Prof Jonathan C Roberts

Jonathan is particularly interested in visual analytics, information visualization and exploratory visualization in a variety of topics (including Heritage, Oceanographic data, Social media)