article · Information Visualization · 2009

Scale and Complexity in Visual Analytics

George G. Robertson, David S. Ebert, Stephen G. Eick, Daniel A. Keim, Ken Joy

Cited by 35Abstract and details only

Abstract

The fundamental problem that we face is that a variety of large-scale problems in security, public safety, energy, ecology, health care and basic science all require that we process and understand increasingly vast amounts and variety of data. There is a growing impedance mismatch between data size/complexity and the human ability to understand and interact with data. Visual analytic tools are intended to help reduce that impedance mismatch by using analytic tools to reduce the amount of data that must be viewed, and visualization tools to help understand the patterns and relationships in the reduced data. But visual analytic tools must address a variety of scalability issues if they are to succeed. In this paper, we characterize the scalability and complexity issues in visual analytics. We discuss some highlights on progress that has been made in the past 5 years, as well as key areas where more progress is needed.

Cite this paper

APA 7

Robertson, G. G., Ebert, D. S., Eick, S. G., Keim, D. A., & Joy, K. (2009). Scale and Complexity in Visual Analytics. Information Visualization, 8(4), 247–253. https://doi.org/10.1057/ivs.2009.23

MLA 9

Robertson, George G., et al. “Scale and Complexity in Visual Analytics.” Information Visualization, vol. 8, no. 4, 2009, pp. 247–53, https://doi.org/10.1057/ivs.2009.23.

Chicago

Robertson, George G., David S. Ebert, Stephen G. Eick, Daniel A. Keim, and Ken Joy. 2009. “Scale and Complexity in Visual Analytics.” Information Visualization 8 (4): 247–53. https://doi.org/10.1057/ivs.2009.23.

Harvard

Robertson, G.G. et al. (2009) ‘Scale and Complexity in Visual Analytics’, Information Visualization, 8(4), pp. 247–253. Available at: https://doi.org/10.1057/ivs.2009.23.

BibTeX

@article{robertson2009scale,
  title = {{Scale and Complexity in Visual Analytics}},
  author = {Robertson, George G. and Ebert, David S. and Eick, Stephen G. and Keim, Daniel A. and Joy, Ken},
  journal = {Information Visualization},
  volume = {8},
  number = {4},
  pages = {247--253},
  year = {2009},
  doi = {10.1057/ivs.2009.23}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.