Journal
INFORMATION VISUALIZATION
Volume 10, Issue 4, Pages 289-309Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/1473871611416549
Keywords
Comparison; taxonomy; survey
Categories
Funding
- National Science Foundation (NSF) [IIS-0946598, CMMI-0941013, OCI-0906379]
- DoE [DE-FG02-04ER25627]
- National Nuclear Security Administration through DOE [DE-NA0000740]
- King Abdullah University of Science and Technology [KUS-C1-016-04]
- DOE VACET SciDAC
- Research Institute of Visual Computing
- Welsh Assembly Government, first One Wales national research centre
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [946598] Funding Source: National Science Foundation
- Div Of Civil, Mechanical, & Manufact Inn
- Directorate For Engineering [0941013] Funding Source: National Science Foundation
Ask authors/readers for more resources
Data analysis often involves the comparison of complex objects. With the ever increasing amounts and complexity of data, the demand for systems to help with these comparisons is also growing. Increasingly, information visualization tools support such comparisons explicitly, beyond simply allowing a viewer to examine each object individually. In this paper, we argue that the design of information visualizations of complex objects can, and should, be studied in general, that is independently of what those objects are. As a first step in developing this general understanding of comparison, we propose a general taxonomy of visual designs for comparison that groups designs into three basic categories, which can be combined. To clarify the taxonomy and validate its completeness, we provide a survey of work in information visualization related to comparison. Although we find a great diversity of systems and approaches, we see that all designs are assembled from the building blocks of juxtaposition, superposition and explicit encodings. This initial exploration shows the power of our model, and suggests future challenges in developing a general understanding of comparative visualization and facilitating the development of more comparative visualization tools.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available