We think of Geographic Information Science (GIScience) as an exploration of the intersection between Geography and Information Science. GIScience re-examines the concepts and methods of spatial analysis while applying them via the tools and technology of computer and information science. Our research agenda is intended to explore and improve the spatial dimension of a typical structured decision process: data/information > knowledge > modeling/analysis > simulation/visualization > decision-making.

Spatial Data Infrastructure (SDI)
Compiling and structuring data to support research, modeling and analysis for enterprise operations. Building fundamental infrastructure for intranet and internet knowledge portals. more

Spatial Knowledge Management
Enhancing domain science through integration with information science to facilitate knowledge synthesis. Applying methods and tools to automate the retrieval and extraction of knowledge from disparate data sources. more

Spatial Analysis & Modeling
Using spatial, analytic and computational modeling techniques on geospatial data in order to solve problems and inform decisions. more

Spatial Simulation and Visualization
Applying methods and tools to build intuitive representations of complex systems, data and phenomena. Developing interactive 3-D and 4-D visualizations with spatial/temporal data. Applying new theory, methods and tools in artificial intelligence and agent-based modeling to develop simulations for visualizing the potential impacts and effects of decision alternatives. more

Spatial Decision Support (SDS)
Applying structured methods to enhance the decision-making process. Integrating science-based modeling and spatial data to perform landscape assessments in a multi-criteria, scenario-based evaluation process. Supporting adaptive management by linking management alternatives to expected outcomes. more