The need for verifiable visualization

Robert M. Kirby; Cláudio T. Silva

doi:10.1109/MCG.2008.103

The need for verifiable visualization

Robert M. Kirby, Cláudio T. Silva

Urban Initiative

Research output: Contribution to journal › Article › peer-review

Abstract

Visualization is often employed as part of the simulation science pipeline-it's the window through which scientists examine their data for deriving new science, and the lens used to view modeling and discretization interactions within their simulations. We advocate that as a component of the simulation science pipeline, visualization must be explicitly considered as part of the validation and verification (V&V) process. In this article, the authors define Vamp;V in the context of computational science, discuss the role of V&V in the scientific process, and present arguments for the need for verifiable visualization.

Original language	English (US)
Pages (from-to)	78-83
Number of pages	6
Journal	IEEE Computer Graphics and Applications
Volume	28
Issue number	5
DOIs	https://doi.org/10.1109/MCG.2008.103
State	Published - 2008

Keywords

Accuracy
Communities
Computational modeling
Data models
Data visualization
Error budget
Mathematical model
Pipelines
Uncertainty
Validation
Verification

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

Access to Document

10.1109/MCG.2008.103

Cite this

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title = "The need for verifiable visualization",

abstract = "Visualization is often employed as part of the simulation science pipeline-it's the window through which scientists examine their data for deriving new science, and the lens used to view modeling and discretization interactions within their simulations. We advocate that as a component of the simulation science pipeline, visualization must be explicitly considered as part of the validation and verification (V&V) process. In this article, the authors define Vamp;V in the context of computational science, discuss the role of V&V in the scientific process, and present arguments for the need for verifiable visualization.",

keywords = "Accuracy, Communities, Computational modeling, Data models, Data visualization, Error budget, Mathematical model, Pipelines, Uncertainty, Validation, Verification",

author = "Kirby, {Robert M.} and Silva, {Cl{\'a}udio T.}",

note = "Funding Information: We thank our colleagues and students, and in particular, David Koop, Lauro Lins, Steve Callahan, Juliana Freire, Guo-Shi Li, Xavier Tricoche, Chuck Hansen, Ross Whitaker, and Chris Johnson for help with material and ideas for this article. The US National Science Foundation, US Department of En- ergy, the US Army Research Office, and IBM funded this work.",

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doi = "10.1109/MCG.2008.103",

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AU - Kirby, Robert M.

AU - Silva, Cláudio T.

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PY - 2008

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N2 - Visualization is often employed as part of the simulation science pipeline-it's the window through which scientists examine their data for deriving new science, and the lens used to view modeling and discretization interactions within their simulations. We advocate that as a component of the simulation science pipeline, visualization must be explicitly considered as part of the validation and verification (V&V) process. In this article, the authors define Vamp;V in the context of computational science, discuss the role of V&V in the scientific process, and present arguments for the need for verifiable visualization.

AB - Visualization is often employed as part of the simulation science pipeline-it's the window through which scientists examine their data for deriving new science, and the lens used to view modeling and discretization interactions within their simulations. We advocate that as a component of the simulation science pipeline, visualization must be explicitly considered as part of the validation and verification (V&V) process. In this article, the authors define Vamp;V in the context of computational science, discuss the role of V&V in the scientific process, and present arguments for the need for verifiable visualization.

KW - Accuracy

KW - Communities

KW - Computational modeling

KW - Data models

KW - Data visualization

KW - Error budget

KW - Mathematical model

KW - Pipelines

KW - Uncertainty

KW - Validation

KW - Verification

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The need for verifiable visualization

Abstract

Keywords

ASJC Scopus subject areas

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