Geographic Data Sciences

Geographic Data Sciences

Research in this area encompasses geographic data analysis, spatiotemporal data mining to explore spatiotemporal database capabilities with management of uncertainties.  Drawing expertise from interdisciplinary areas such as statistics, data mining, nonlinear dynamics, risk analysis, and optimization, we focus on knowledge discovery from multisensory, diverse, and disparate data streams. National and global priority areas addressed include climate change, energy, critical infrastructures, resources management, and social behavioral models.

Publications

Publications Related to Geographic Data Sciences

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Highlights

New ORNL Technology to help KUB Customers Understand Their Bill
January 27, 2012, WATE.COM – If you think there's a problem with your utility charges or how your meter's being read, all you may be able to do is call your utility company.

Grid Visualization Efforts Helped Heal After Hurricane
September 26, 2011 – By many counts, Irene was the worst hurricane the U.S. East Coast has had to contend with since 2003. For those inland areas hit hardest by flooding, restoration will likely continue for years.

Joplin, Missouri Tornado: Do People Fail to Respond to Tornado Warnings?
Jenniffer Santos-Hernandez at Oak Ridge National Laboratory helped conduct a phone survey of more than 600 people in Oklahoma, Kansas, Minnesota, Illinois, Mississippi, Tennessee, and Alabama.