geospatial visual analytics and geovisualization in...
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Geospatial Visual Analytics and Geovisualization in VisMaster (WP3.4)
Gennady AndrienkoFraunhofer Institute IAISSankt Augustin Germanyhttp://geoanalytics.net/and
Heidrun SchumannUniversity of RostockRostock Germanyhttp://vcg.informatik.uni-rostock.de/en/
What is geovisualization?• the use of visual representations of geographic information for the exploration and analysis of the data and gaining understanding of the underlying phenomena
Purposes :• scientific discovery• education• decision support
characteristics of spatial data• heterogeneous• anisotropic• continuous (measurements are not → error)• error in:
> locations (projection, etc.)> distances (elevation; constraints; alternatives)> attributes (poor models; limited samples)> time
• complexities:> scale (features / processes scale dependent)> 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?• …
GeoVis is not only about space but also about time!
… of temporal data• time is linear AND• time is cyclical• multiple embedded & overlapping cycles• complexities
> different granularities> different viewpoints (totally ordered, partially ordered)
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
OASIS – EU-funded IP, 2004-2008
Details:Gennady Andrienko, Natalia Andrienko, Ulrich BartlingVisual Analytics Approach to User-Controlled Evacuation SchedulingIEEE Visual Analytics Science and Technology (VAST 2007), pp.43-50
&Information Visualization, v.7(1), 2008
Input data Scheduling algorithm
Schedule
Computational analysis module
Secondary data
Interactive visual interfaces
User’s evaluation
feedback
Queries
Example of geospatial visual analytics:
analysis of trajectories
Algorithms, other details:G.Andrienko, N.Andrienko, S.WrobelVisual Analytics Tools for Analysis of Movement DataACM SIGKDD Explorations, v.9(2), December 2007
Example of geospatial visual analytics:
analysis of city traffic
Algorithms, other details:Gennady Andrienko, Natalia AndrienkoSpatio-temporal aggregation for visual analysis of movementsIEEE Visual Analytics Science and Technology (VAST 2008)Proceedings, IEEE Computer Society Press, 2008, pp.51-58
WP3.4: Space and Time
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
Visual analytics. Introduction
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, 2008Additional 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: [email protected]