A System for Visualizing Time-varying Oceanographic 3D Data
Abstract
Most data visualization systems only show static data or produce "canned" movies of time-varyingdata. Others incorporate visualization in real-time monitoring but these are generally customized to the particular application. The ability to interactively navigate through geospatial data is common but interactive navigation along the time dimension is not. And yet, visualization of data from interacting dynamic systems is increasingly necessary to interpret biological process, physical oceanographicprocesses, the motion of instrument platforms (such as ships, ROVs and AUVs), and the interactions between all of these. To address this need, GeoZui3D system has been enhanced so that it seamlessly handles multiple time varying data sets: anything can be handled that can be represented through timevarying surfaces, curved colored lines, curved colored tubes, arrow arrays, or color-, shape-, and size-coded points. The system can be used in both real-time and replay modes and data sets that have different sampling rates can still be visualized together. GeoZui3D can visualize events over a wide range of time scales from sensor readings at the millisecond scale to glacial movements evolving over tens of thousands of years. The system is illustrated with examples from collaborative research projects including modeled ocean and estuarine currents, tides, ship movements, changes in surface topography, AUV and ROV movements and the movements of marine mammals.
Department
Center for Coastal and Ocean Mapping
Publication Date
11-2004
Volume
'04, Volume 2
Journal Title
IEEE Oceans
Pages
743-747
Conference Date
Nov 9 - Nov 12
Publisher Place
Kobe, Japan
Rights
©2004 IEEE
Publisher
IEEE
Digital Object Identifier (DOI)
10.1109/OCEANS.2004.1405535
Document Type
Conference Proceeding
Recommended Citation
Arsenault, Roland J.; Ware, Colin; Plumlee, Matthew D.; Martin, Stephen C.; Whitcomb, Louis; Wiley, David N.; Gross, Tom; and Bilgili, Ata, "A System for Visualizing Time-varying Oceanographic 3D Data" (2004). IEEE Oceans. 298.
https://scholars.unh.edu/ccom/298