期刊
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
卷 23, 期 3, 页码 1249-1268出版社
IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2016.2640960
关键词
Taxonomy; high-dimensional data; multidimensional data; visualization; data models; computational modeling
资金
- US DOE by LLNL [DE-AC52-07NA27344., LLNL-CONF-658933]
- US National Science Foundation [IIS-1513616, 0904631, DE-EE0004449, DE-NA0002375, DE-SC0007446, DE-SC0010498]
- NSG [IIS-1045032]
- NSF [EFTACI-0906379]
- DOE/NEUP [120341]
- DOE/Codesign [P01180734]
- Direct For Computer & Info Scie & Enginr [1314813] Funding Source: National Science Foundation
- Direct For Computer & Info Scie & Enginr
- Office of Advanced Cyberinfrastructure (OAC) [0904631] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems [1314813] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1513616, 1654221, 1314896] Funding Source: National Science Foundation
- U.S. Department of Energy (DOE) [DE-SC0010498, DE-SC0007446] Funding Source: U.S. Department of Energy (DOE)
Massive simulations and arrays of sensing devices, in combination with increasing computing resources, have generated large, complex, high-dimensional datasets used to study phenomena across numerous fields of study. Visualization plays an important role in exploring such datasets. We provide a comprehensive survey of advances in high-dimensional data visualization that focuses on the past decade. We aim at providing guidance for data practitioners to navigate through a modular view of the recent advances, inspiring the creation of new visualizations along the enriched visualization pipeline, and identifying future opportunities for visualization research.
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