TY - JOUR
T1 - Cross-scale, multi-scale, and multi-source data visualization and analysis issues and opportunities
AU - Ebert, David
AU - Gaither, Kelly
AU - Jang, Yun
AU - Lasher-Trapp, Sonia
N1 - Publisher Copyright:
© Springer-Verlag London 2014.
PY - 2014
Y1 - 2014
N2 - As computational and experimental science have evolved, a newdimension of challenges for visualization and analysis has emerged: enablingresearch, understanding, discovery at multiple problem scales and the interactionof the scales, and abstractions of phenomena. Visualization and analysis tools areneeded to enable interacting and reasoning at multiple simultaneous scales of representationsof data, systems, and processes. Moreover, visualization is crucial tohelp scientists and engineers understand the critical processes at the scale boundariesthrough the use of external visual cognitive artifacts to enable more naturalreasoning across these boundaries.
AB - As computational and experimental science have evolved, a newdimension of challenges for visualization and analysis has emerged: enablingresearch, understanding, discovery at multiple problem scales and the interactionof the scales, and abstractions of phenomena. Visualization and analysis tools areneeded to enable interacting and reasoning at multiple simultaneous scales of representationsof data, systems, and processes. Moreover, visualization is crucial tohelp scientists and engineers understand the critical processes at the scale boundariesthrough the use of external visual cognitive artifacts to enable more naturalreasoning across these boundaries.
UR - http://www.scopus.com/inward/record.url?scp=84921463778&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84921463778&partnerID=8YFLogxK
U2 - 10.1007/978-1-4471-6497-5_28
DO - 10.1007/978-1-4471-6497-5_28
M3 - Article
AN - SCOPUS:84921463778
SN - 1612-3786
VL - 37
SP - 353
EP - 360
JO - Mathematics and Visualization
JF - Mathematics and Visualization
ER -