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Temporal GIS
Seminar: current trends and a vision for meteorological applications
 Dr. May Yuan
Associate Professor,
University of Oklahoma
Time: 3:30pm
Location: Foothills Laboratory 1, ATD Atrium
Space and time are essential to the understanding
of the dynamic worlds. Unfortunately, GIS development has been focused
on 2-D spatial data, and current commercial GIS technology is incapable
of handling temporal information. While techniques, such as data
animation, are available for users to gain a sense about how changes
occur over time, functions are lacking to enable querying and analyzing
such changes. For example, meteorologists use looping to gain insights
into how a weather system has evolved and forecast how the evolution
will continue. A temporal GIS will be able to monitor the evolution and
store the evolution in a database so that similar cases can be queried
and analyzed to understand their relationships in space and time.
Furthermore, these cases can be related to other weather systems,
environmental data and socio-economical data for correlation assessment
and impact analysis.
This seminar will discuss trends of temporal GIS
research and a vision for meteorological applications. We will start
with an overview of temporal GIS research with highlights on the
conceptual and technological difficulties in the development. Next, we
will proceed to thoughts on temporal GIS for meteorological
applications: the current state and future opportunities. I invite
discussion and comments to contribute toward a more comprehensive
vision on temporal GIS for meteorological applications to conclude the
seminar.
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