Skip to page content
USDA Forest Service

Research & Development Treesearch

Treesearch Home
About Treesearch
Contact Us
Research & Development
Forest Products Lab
International Institute of Tropical Forestry
Pacific Northwest
Pacific Southwest
Rocky Mountain
Southern Research Station
Help - We Participate  Government Made Easy

Global Forest Information Service

US Forest Service
P.O. Box 96090
Washington, D.C.

(202) 205-8333

You are here: Home / Search / Publication Information
Bookmark and Share

Publication Information

View PDF (3.0 MB bytes)

Title: Visual reconciliation of alternative similarity spaces in climate modeling

Author: Poco, J; Dasgupta, A; Wei, Y; Hargrove, William; Schwalm, C.R.; Huntzinger, D.N.; Cook, R; Bertini, E; Silva, C.T.;

Date: 2015

Source: IEEE Transactions on Visualization and Computer Graphics

Publication Series: Scientific Journal (JRNL)

Description: Visual 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.

Publication Notes:

  • 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.



Poco, 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.


 [ Get Acrobat ]  Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

USDA logo which links to the department's national site. Forest Service logo which links to the agency's national site.