Visualization Ecology Applications for Measurement Science: A Visualization Gap Approach
Simon Su, William Sherman, Steven G. Satterfield, Terence J. Griffin, William L. George, Sandy Ressler, Shaw C. Feng, Judith E. Terrill
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.
, Sherman, W.
, Satterfield, S.
, Griffin, T.
, George, W.
, Ressler, S.
, Feng, S.
and Terrill, J.
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)