Skip to Main Content
Visual reconciliation of alternative similarity spaces in climate modelingAuthor(s): J Poco; A Dasgupta; Y Wei; William Hargrove; C.R. Schwalm; D.N. Huntzinger; R Cook; E Bertini; C.T. Silva
Source: IEEE Transactions on Visualization and Computer Graphics
Publication Series: Scientific Journal (JRNL)
Station: Southern Research Station
PDF: View PDF (3.0 MB)
DescriptionVisual data analysis often requires grouping of data objects based on their similarity. In many application domains researchers use algorithms and techniques like clustering and multidimensional scaling to extract groupings from data. While extracting these groups using a single similarity criteria is relatively straightforward, comparing alternative criteria poses additional challenges. In this paper we define visual reconciliation as the problem of reconciling multiple alternative similarity spaces through visualization and interaction. We derive this problem from our work on model comparison in climate science where climate modelers are faced with the challenge of making sense of alternative ways to describe their models: one through the output they generate, another through the large set of properties that describe them. Ideally, they want to understand whether groups of models with similar spatio-temporal behaviors share similar sets of criteria or, conversely, whether similar criteria lead to similar behaviors. We propose a visual analytics solution based on linked views, that addresses this problem by allowing the user to dynamically create, modify and observe the interaction among groupings, thereby making the potential explanations apparent. We present cases studies that demonstrate the usefulness of our technique in the area of climate science.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationPoco, J., A. Dasgupta, Y. Wei, W. Hargrove, C.R. Schwalm, D.N. Huntzinger, R. Cook, E. Bertini, and C.T. Silva. 2014. Visual reconciliation of alternative similarity spaces in climate modeling. IEEE Transactions on Visualization and Computer Graphics 20(12):1923-1932.
- SimilarityExplorer: A visual inter-comparison tool for multifaceted climate data
- Data Mining in Earth System Science (DMESS 2011)
- Recent advances in applying decision science to managing national forests
XML: View XML