Geospatial Visual Analytics and Geovisualization in VisMaster - - PowerPoint PPT Presentation

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Geospatial Visual Analytics and Geovisualization in VisMaster - - PowerPoint PPT Presentation

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


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Geospatial Visual Analytics and Geovisualization in VisMaster (WP3.4)

Gennady Andrienko Fraunhofer Institute IAIS Sankt Augustin Germany http://geoanalytics.net/and Heidrun Schumann University of Rostock Rostock Germany http://vcg.informatik.uni- rostock.de/en/

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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 &
  • verlapping cycles
  • complexities

> different granularities > different viewpoints (totally ordered, partially ordered)

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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.

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Example of Geospatial Visual Analytics: Transportation Scheduling

OASIS – EU-funded IP, 2004-2008 Details: Gennady Andrienko, Natalia Andrienko, Ulrich Bartling Visual Analytics Approach to User-Controlled Evacuation Scheduling IEEE 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

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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

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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

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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

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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