1. GeoTemporal Informatics: A look at a piece of the puzzle Arie Croitoru The University of Alberta Dept. of Earth and Atmospheric Sciences

2. What is “solved”? Data collection and access – Spatial data, event logs Data storage/management Understanding the importance of spatiotemporal dynamics 2NSF GeoInformatics workshop

3. What is almost solved? Spatial/Temporal relations Trajectory modeling/analysis/mining Spatial/Temporal granularity Event detection and conceptualization 3NSF GeoInformatics workshop

4. What has (failed)? Dealing with large amounts of data Modeling complex spatiotemporal behaviors Deriving processes Multi-scale approaches not yet succeeded? 4NSF GeoInformatics workshop

5. What is missing? Scalability Spatiotemporal process mining “Making sense” of human observations 5NSF GeoInformatics workshop

6. 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