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Research Themes:
Geographic Representation: To understand the world,
we must represent it. Cartography has addressed this challenge
for centuries and we extend that tradition through innovative
research on multivariate, space-time, and multiscale representation.
This research is complemented by development of new strategies
for database representation.
Geovisual Analytics:
To cope with increasing geospatial data profusion one focus
for our research is to integrate visual, statistical, and
computational methods for representation, analysis, knowledge
construction, and sensemaking using both multivariate and
heterogenous geospatial information.
Knowledge Management &
Geocollaboration: To support work with geospatial
information by individuals and groups, we are addressing the
computational and human issues underling technologies to facilitate
group work and developing the semantic frameworks necessary
to integrate, manage, and access data and knowledge generated
by multiple organizations.
Spatial Cognition &
Human Factors: Our goal here is to advance understanding
of spatial cognition and use that understanding to guide development
of new methods and tools for interacting with geospatial information,
both intuitively and successfully.
Risk Assessment & Spatial
Decision Support: Our work here leverages our basic
research in the other four areas to develop methods and tools
that are particularly relevant to integrating and using geospatial
information for risk assessment & decision support.
List of Projects:
Recent Grants:
Other Active Grants:
Past Grants:
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