Geospatial Visual Analytics and Geovisualization in VisMaster (WP3.4) Gennady Andrienko Heidrun Schumann Fraunhofer Institute IAIS University of Rostock Sankt Augustin Rostock Germany Germany http://geoanalytics.net/and http://vcg.informatik.uni- rostock.de/en/
What is geovisualization? Purposes : • scientific discovery • the use of visual representations of geographic information for the exploration • education and analysis of the data and gaining understanding of the underlying phenomena • decision support GeoVis is not only about space but also about time! characteristics of spatial data … of temporal data • heterogeneous • time is linear AND • anisotropic • time is cyclical • continuous (measurements are not → error) • multiple embedded & • error in: overlapping cycles > locations (projection, etc.) • complexities > distances (elevation; constraints; alternatives) > different > attributes (poor models; limited samples) granularities > time > different viewpoints • complexities: (totally ordered, > scale (features / processes scale dependent) partially ordered) > time-dependence spatial and temporal questions we might wish to answer … • how is this landscape developing … and what are the implications? • where do we focus our housing improvement grants this year? • can we characterize society spatially to improve services? • what does our audit tell us about the geography of our services? • …
Example of Geospatial Visual Analytics: Spatio-temporal analysis of health data Details: Chr. Tominski, P. Schulze-Wollgast and H. Schumann: Visual Methods for Analyzing Human Health Data. In: N. Wickramasinghe, E. Geisler (editors), Encyclopedia of Healthcare Information Systems. Information Science Reference, 2008. Chr. Tominski: Event-Based Visualization for User- Centered Visual Analysis. PhD thesis, University of Rostock, 2006.
Example of Geospatial Visual Analytics: Transportation Scheduling Scheduling Input data User’s algorithm OASIS – EU-funded IP, 2004-2008 evaluation feedback Details: Schedule Gennady Andrienko, Natalia Andrienko, Ulrich Bartling Computational Visual Analytics Approach to analysis User-Controlled Evacuation module Scheduling IEEE Visual Analytics Science and Technology (VAST 2007) , pp.43-50 Secondary & data Queries Information Visualization , v.7(1), 2008 Interactive visual interfaces
Example of geospatial visual analytics: analysis of trajectories Algorithms, other details: G.Andrienko, N.Andrienko, S.Wrobel Visual Analytics Tools for Analysis of Movement Data ACM SIGKDD Explorations , v.9(2), December 2007
Example of geospatial visual analytics: analysis of city traffic Algorithms, other details: Gennady Andrienko, Natalia Andrienko Spatio-temporal aggregation for visual analysis of movements IEEE Visual Analytics Science and Technology (VAST 2008) Proceedings, IEEE Computer Society Press, 2008, pp.51-58
WP3.4: Space and Time Visual analytics. Introduction Participants: • Fraunhofer IAIS – Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany • University Rostock, Germany • London City University, UK • University Zurich, Switzerland • ITC – International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands • University Pisa, Italy
Work Plan • A questionnaire has been sent to researchers and practitioners with relevant expertise and experience: – What are the major scientific achievements up to date related to visually enabled analysis of spatial, temporal, and spatio-temporal data? – What are the most prominent application achievements (success stories) in science / public applications / business? – What are the major research and application challenges? – What research directions are of primary importance? Replies due: 24th of December, 2008 Additional respondents are welcome! • Analyse and summarise the replies received • Expert workshop "Spatial and Temporal Visual Analytics“, Hamburg, March 2-3, 2009 (immediately before the workshop "Contribution of Geovisualization for the concept of the Digital City“) Contact: gennady.andrienko@iais.fraunhofer.de
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