GeoTemporal Informatics: A look at a piece of the puzzle

Arie CroitoruThe University of AlbertaDept. of Earth and Atmospheric Sciences

What is “solved”?

• Data collection and access– Spatial data, event logs

• Data storage/management• Understanding the

importance of spatiotemporal dynamics

2NSF GeoInformatics workshop

What is almost solved?

• Spatial/Temporal relations• Trajectory modeling/analysis/mining• Spatial/Temporal granularity• Event detection and conceptualization

3NSF GeoInformatics workshop

What has (failed)?

• Dealing with large amounts of data• Modeling complex spatiotemporal

behaviors• Deriving processes• Multi-scale approaches

not yet succeeded?

4NSF GeoInformatics workshop

What is missing?• Scalability• Spatiotemporal process

mining• “Making sense” of human

observations

5NSF GeoInformatics workshop

What is next?

• Describing, mining, and sharing processes• Space-time causality• Hierarchy-based approaches• Beyond the mash-up: Location-based mass

collaboration systems

6NSF GeoInformatics workshop