High Performance Geocomputation

High Performance Geocomputation

Research in this area combines the strengths of geographical methods with computer and computational sciences to address data exploration through mining and visualization techniques that are beyond the present capabilities of common desktop computing using commercial GIS.  We are developing solutions for computationally intensive analysis of massive volumes of spatial data utilizing high performance computing environments.  In addition, we are investigating novel approaches for developing modeling, simulation, and visualization frameworks for geographical or physical systems at very high spatial and temporal resolutions.  National and global priority areas addressed include earth observation and simulation data analysis for climate and energy, transportation modeling and simulation, and activity-based modeling of population.

Publications

Publications Related to High Performance Geocomputation

Highlights

Scientists Develop Method to Quantify Climate Modeling Uncertainty
ORNL researchers have identified a new method for quantifying uncertainty in climate modeling projections.

Mapping Technology Aids Tsunami Recovery. . .
Relief agencies assist victims of the Asian tsunami using a demographic database developed at ORNL.

LandScan Global Population Database . . .
Accurate depictions of global population distribution are critical for a wide variety of research needs.