Seeing Events in all their Complexity: Temporal GIS and the Representation of Space-Time Data Donna Peuquet The Pennsylvania State University Department of Geography 306 Walker Building University Park, PA 16802 peuquet@geog.psu.edu http://www.geog.psu.edu/people/peuquet/ Abstract: Some reasonably sophisticated representations of time have been implemented for financial and other forms of business transactions (e.g., the Daytona database by AT&T built for their telephone records - cf. http://www.research.att.com/projects/daytona/), and major geographic information systems (GIS) software products can track point objects through space (e.g., ESRI's Tracking Analyst). In spite of their effectiveness for specific tasks, these systems are not able to represent the full potential complexities of space-time data needed for sophisticated space-time analysis. I will describe a prototype system called STNexus - an integrated visualization/database environment prototype that demonstrates an approach that integrates location-based, object-based and time-based views. STNexus combines a multi-representation database strategy with diverse but coordinated visualization strategies to provide a more flexible approach. An example will be given that explores historic hotel visitation patterns. Bio: Donna Peuquet is a Professor of Geography at The Pennsylvania State University. Her current research interests include theory of geographic knowledge representation, spatio-temporal data models, spatial cognition, spatial analysis methodologies, geographic database design, and the use of GIS in epidemiological research. Her recently published book Representations of Space and Time, with support in part from a Guggenheim Fellowship, develops an integrated perspective on philosophical, cognitive and technical issues on spatial and space-time representation. Her other current activities include membership on the Editorial Board of the International Journal of Geographical Information Systems and membership on the Editorial Advisory Board of the ISPRS Journal of Photogrammetry and Remote Sensing.