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Visualization Ecology Applications for Measurement Science: A Visualization Gap Approach

Published

Author(s)

Simon Su, William Sherman, Steven G. Satterfield, Terence J. Griffin, William L. George, Sandy Ressler, Shaw C. Feng, Judith E. Terrill

Abstract

Advanced visualization research have remained insufficiently included in science and engineering workflows due to the highly specialized task-specific requirements and lack of suitable applications. Although the field of visualization is maturing and researchers have invested efforts into introspection and methodologies, much of the research is not readily available to the scientists and engineers in their daily workflow. In our effort to address the visualization gap, we are working to adapt and extend an existing open-source visualization framework in our workflow to streamline our basic research into visualization application to address measurement uncertainty challenges. In addition to benefiting scientists in our organization, we also hope that our contributions to the open-source framework will benefit our customers, the broader scientific community and society.
Conference Dates
June 13-17, 2022
Conference Location
Rome, IT
Conference Title
EuroVis 2022

Keywords

Human-centered computing, Visualization systems and tools, Visualization Gap

Citation

Su, S. , Sherman, W. , Satterfield, S. , Griffin, T. , George, W. , Ressler, S. , Feng, S. and Terrill, J. (2022), Visualization Ecology Applications for Measurement Science: A Visualization Gap Approach, EuroVis 2022, Rome, IT, [online], https://doi.org/10.2312/visgap.20221057, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934563 (Accessed September 28, 2022)
Created June 13, 2022, Updated July 22, 2022