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Publications
Filters: Project is [Project Phase 1] Visual Analytics methods to support the spatiotemporal analysis of movements in a physical space in particular in a geographical space [Clear All Filters]
Analysis of community-contributed space- and time-referenced data (example of flickr and panoramio photos). IEEE Visual Analytics Science and Technology (VAST 2009). Abstract
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2009.
Analysis of community-contributed space- and time-referenced data by example of Panoramio photos. Vision, Modeling, and Visualization Workshop (VMV).
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2009.
Building Visual Summaries of Clusters of Trajectories. IEEE Information Visualization (InfoVis 2009). Abstract
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2009.
Density Equalizing Distortion of Large Geographic Point Sets. Cartographic and Geographic Information Science. 36
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2009.
Interactive Cluster Analysis of Diverse Types of Spatiotemporal Data. ACM SIGKDD Explorations.
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2009.
Interactive Visual Clustering of Large Collections of Trajectories. IEEE Visual Analytics Science and Technology. Abstract
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2009.
Spatiotemporal Analysis of Sensor Logs Using Growth-Ring Maps. IEEE Transactions on Computer Graphics and Visualization. 15
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2009.
Uncovering Interaction Patterns in Mobile Outdoor Gaming. 2009 International Conference on Advanced Geographic Information Systems & Web Services. Abstract
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2009.
Visual Analytics for Geographic Analysis, Exemplified by Different Types of Movement Data Information Fusion and Geographic Information Systems. Proceedings of the Fourth International Workshop, 17-20 May 2009. Abstract
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2009.
Interactive spatio-temporal cluster analysis of VAST challenge 2008 datasets Integrating Automated Analysis with Interactive Exploration. Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery. Abstract
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2009.
Movement Data Anonymity through Generalization. Proceedings of 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS. Abstract
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2010.
Finding arbitrary shaped clusters with related extents in space and time. EuroVAST 2010, International Symposium on Visual Analytics Science and Technology. :pp.19-25.
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2010.
A Framework for Using Self-Organizing Maps to Analyze Spatio-Temporal Patterns, Exemplified by Analysis of Mobile Phone Usage. Journal of Location Based Services.
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2010.
A General Framework for Using Aggregation in Visual Exploration of Movement Data. The Cartographic Journal. :pp.22-40.
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2010.
A Generalisation-based Approach to Anonymising Movement Data. Geospatial Thinking, AGILE 2010.
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2010.
GEO-SPADE: A generic google-earth based framework for analysis and exploration of spatiotemporal data.. 12th International Conference on Enterprise Information Systems. :13-20.
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2010.
Mashing up for the Masses. Towards a User Oriented Visual Exploration of Interesting Touristic Places Using Collections of Geotagged Photos.. International Journal On Advances in Intelligent Systems (submitted).
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2010.
Movement Data Anonymity through Generalization. Transactions on Data Privacy. :pp.91-121.
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2010.
A novel approach to mining travel sequences using collections of geo-tagged photos. . Proceedings of the 13th AGILE International Conference on Geographic Information Science.
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2010.
P-DBSCAN: A density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos. 1st International Conference on Computing for Geospatial Research & Application.
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2010.