Multicriteria Spatial Decision Support for Historic Climatological Network Modernization

Building on previous work in spatial decision support to expand the network, CSA will begin testing and assessment in a site evaluation pilot study to enable automated site identification and provide training to National Weather Service personnel.
Geocomplexity

While the infinite complexity and dynamics of geographic worlds have long been recognized in the geographic information science (GIScience) literature, current geographic information systems (GIS) technology has not yet incorporated data models, query functions, or analytic tools that can adequately handle geographic complexity and dynamics. This research project aims to integrate these features into GIS data models, query, and analysis. Such integration will lay a foundation for the next generation of GIS technology, to further empower GIS support for scientific understanding and discovery of geographic worlds.
3-D Urban & Dispersion Model Analysis

The 3-D project emphasizes assessment of LiDAR data and the QUIC dispersion model sensitivity in urban environments as well as integrating GIS data.
Modeling Weather Radar Terrain Occultation

With rising weather-related concerns - such as drought and water issues in the southwest U.S., Hurricane Katrina, and the global increase in average temperature - it is important to build weather monitoring systems that provide full coverage of the nation. Unfortunately, the NEXRAD RADAR coverage is seriously affected by the mountainous terrain of the Rockies. The Center for Spatial Analysis at The University of Oklahoma is conducting research to answer exactly how this terrain impacts RADAR coverage using Geographic Information Systems (GIS) technology. Knowing where RADAR coverage is affected allows us to assess the need to adjust current systems or provide additional monitoring systems to cover the gaps of the coverage.
Development of a Spatiotemporal Drought Database

Research into the spatiotemporal characteristics of drought is being performed to allow all of its significant behavior to be captured in a data model. This data model then drives the development of a temporally enabled geodatabase capable of advanced spatiotemporal query. This fundamental research pushes back the frontiers of time and temporal dynamics in GIS, and provides the drought community with a valuable resource that is expected to yield new insight into the dynamics of drought.
Virtual Luxor
Sponsored by UCGIS/Intergraph, the project aims to preserve the architectural heritage of historic Luxor, Egypt and deliver it to the public through GIS, virtual reality, and internet mapping.