Collaborative Exploration of Scientific Datasets Using Immersive and Statistical Visualization: Preprint

Conference · Wed Sep 02 00:00:00 EDT 2020

OSTI ID:1669577

Brunhart-Lupo, Nicholas; Bush, Brian; Gruchalla, Kenny; Potter, Kristen; Smith, Steve

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.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program
• DOE Contract Number: AC36-08GO28308; AC36-08GO28308
• OSTI ID: 1669577
• Report Number(s): NREL/CP-2C00-76783; MainId:9444; UUID:7e2ba5a1-e83e-4f7a-a89b-265e771054b8; MainAdminID:17384
• Conference Information: Prepared for the SEA’s Improving Scientific Software Conference 2020
• Country of Publication: United States
• Language: English

Related Subjects

collaborative visualization
datasets
MATHEMATICS AND COMPUTING
scientific workflow
statistical graphics