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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]
Analysing the spatial dimension of eye movement data using a visual analytic approach. Expert Systems with Applications, 2012, v.39 (1). :1324-1332.
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2012.
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.
Challenging Problems of Geospatial Visual Analytics. Journal of Visual Languages and Computing. v.22 (4):251-256.
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2011.
Composite Density Maps for Multivariate Trajectories. IEEE Transactions on Visualization and Computer Graphics (TVCG). v.17 (12):2518-2527.
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2011.
A Conceptual Framework and Taxonomy of Techniques for Analyzing Movement. Journal of Visual Languages and Computing. v.22 (3):213-232.
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2011.
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2009.
Density Equalizing Distortion of Large Geographic Point Sets. Cartographic and Geographic Information Science. 36
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2009.
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2011.
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2010.
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2010.
Dynamic Time Transformations for Visualizing Multiple Trajectories in Interactive Space-Time Cube. International Cartographic Conference (ICC 2011).
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2011.
Event-based analysis of people's activities and behavior using Flickr and Panoramio geotagged photo collections. IV 2010. 14th International Conference on Information Visualization.
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2010.
An Event-Based Conceptual Model for Context-Aware Movement Analysis. International Journal Geographical Information Science. v.25 (9):1347-1370.
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2011.
Exploring City Structure from Georeferenced Photos Using Graph Centrality Measures. Machine Learning and Knowledge Discovery in Databases (PKDD 2011). 6913:654-657.
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2011.
Exploring Spatiotemporal Patterns By Integrating Visual Analytics With A Moving Objects Database System. ACM GIS 2011 - Proceedings of 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2011).
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2011.
Extracting Events from Spatial Time Series. IV 2010. 14th International Conference on Information Visualization.
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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.
From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data (best paper award). IEEE Visual Analytics Science and Technology (VAST 2011) Proceedings. :161-170.
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2011.
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.
Interactive Cluster Analysis of Diverse Types of Spatiotemporal Data. ACM SIGKDD Explorations.
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2009.