Abstract
We discuss the value of collaborative, immersive visualization for the exploration of scientific datasets and review techniques and tools that have been developed and deployed at the National Renewable Energy Laboratory (NREL). We believe that collaborative visualizations linking statistical interfaces and graphics on laptops and high-performance computing (HPC) with 3D visualizations on immersive displays (head-mounted displays and large-scale immersive environments) enable scientific workflows that further rapid exploration of large, high-dimensional datasets by teams of analysts. We present a framework, PlottyVR, that blends statistical tools, general-purpose programming environments, and simulation with 3D visualizations. To contextualize this framework, we propose a categorization and loose taxonomy of collaborative visualization and analysis techniques. Finally, we describe how scientists and engineers have adopted this framework to investigate large, complex datasets.
Original language | American English |
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Number of pages | 18 |
State | Published - 2020 |
Event | SEA’s Improving Scientific Software Conference 2020 - Duration: 1 Jan 2020 → 1 Jan 2020 |
Conference
Conference | SEA’s Improving Scientific Software Conference 2020 |
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Period | 1/01/20 → 1/01/20 |
NREL Publication Number
- NREL/CP-2C00-76783
Keywords
- collaborative visualization
- datasets
- scientific workflow
- statistical graphics