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  • Def:80% ofdatahas a geolocationMomeryof LociMental mapPattern recognition
  • http://en.wikipedia.org/wiki/Tobler's_first_law_of_geography
  • http://www.quora.com/Data-Visualization/What-are-interesting-and-unsolved-research-questions-in-data-visualization?srid=JI5Same geolocation but different time (interval)Within the context of any mode of inquiry, three different kinds of specific questions are typically asked of temporally-based geospatial data (Langran, 1989): A) What changes have occurred with respect to a feature or object of the data?B) What changes in spatial distribution (including specific location, if applicable) of an object (or set of objects) have occurred?C) What is the temporal relationship among multiple phenomena? MacEachren (1995) identifies seven categories of questions that can be asked of all temporal data, not just geospatial data: a) Existence of an element of datab) Temporal location and/or cyclic behaviour of a data elementc) Temporal limits (the interval) of a data elementd) Frequency (also called the temporal texture) of an elemente) Rate of change of a data elementf)  Sequential order of the data elementsg) Synchronization (if any) of the data elements
  • Colonia3D- Comparisonof The same location
  • Colonia3D- Comparisonof The same location

Neighborhood Visualization - Challenges and Approaches Neighborhood Visualization - Challenges and Approaches Presentation Transcript

  • Neighborhood VisualizationChallenges and Approaches from a Geovisualization PerspectiveMatthias TrappHasso-Plattner-Institut, Universität Potsdam, Germany
  • Motivation – 2D Geovisualization09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 2
  • Motivation – 2D Geovisualization09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 3
  • Motivation – 3D Geovisualization [www.refina3d.de]09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 4
  • Motivation – Virtual 3D City Models  Central component of information infrastructures  Basic information models for…  Simulation  Analysis  Monitoring  Architectural Design  Possible applications:  Location marketing  Urban development and planning  Web 2.009/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 5
  • Geovisualization & Dynamic Networks Data Infra- structure Users09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 6
  • Geodata is complex  Characteristics:  Data is heterogeneous  Update frequency increases (partially real-time)  Challenges:  Decentralized data storage & interfaces (INSPIRE,…)  Access  Digital Rights Management09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 7
  • Users  Potentials:  Crowd-Sourcing (e.g., Open Street Map, Public Earth)  Multi-cultural  Collaborative environments  Challenges:  Ensure data quality  Data security (privacy)09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 8
  • Visualization Infrastructures Classic approach: complex, monolithic systems [döllner et al., 2006]09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 9
  • Visualization Infrastructures Service-Oriented Architectures (SOA)  Interoperable Services enables: Abstraction, Autonomy, Composability, Discoverability, Formal contract, Loose coupling, Reusability, Statelessness [klimke, 2012]09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 10
  • Neighborhood Visualization  Neighborhood ~ #Geolocations  Visualization requires context  depict various information w.r.t. geolocations  support insights for users  Waldo Toblers 1st law of geography: “Everything is related to everything else, but near things are more related than distant things.”  Visualization categories:  Spatial visualization only  Spatio-Temporal Visualization09/01/2012 Integration von Fachinformationen in 3D-Darstellungen:: Xinnovations :: 19. - 21. September 2011 :: Matthias Trapp 11
  • SECTIONSpatial Visualization
  • Challenges in 3D Geovisualization09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 13
  • Multi-Perspective Views09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 14
  • Multi-Perspective Views [lorenz et al., 2008]09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 15
  • Multi-Perspective Views [lorenz et al., 2006]09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 16
  • Logarithmic Projections [böttger et al., 2008]21.09.2011 Integration von Fachinformationen in 3D-Darstellungen:: Xinnovations :: 19. - 21. September 2011 :: Matthias Trapp 17
  • Clutter Reduction [semmo et al., 2012]09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 18
  • Clutter Reduction09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 19
  • Reduction of Visual Clutter09/01/2012 Integration von Fachinformationen in 3D-Darstellungen:: Xinnovations :: 19. - 21. September 2011 :: Matthias Trapp 20
  • Clutter Reduction09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 21
  • Symbolization09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 22
  • Symbolization – Coherence ?09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 23
  • SECTIONData Mapping
  • Style Transfer Functions09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 25
  • Style Transfer Functions09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 26
  • Mapping of Raster Data Data Layer: Building category data Data Layer: Color Layer: Color Layer: Traffic frequency data09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 27
  • SectionSpatio-Temporal Visualization [buschmann, 2012]
  • Challenges  Typical questions for spatio-temporal data [Langran, 1989]:  What changes have occurred with respect to a feature/object?  What changes in spatial distribution have occurred?  What is the temporal relationship among multiple phenomena?  Questions for general temporal data [MacEachren, 1995]:  Existence of an element of data  Temporal location and/or cyclic behavior  Temporal limits (interval) of a data element  Frequency (temporal texture) of an element  Rate of change of a data element  Sequential order of the data elements  Synchronization (if any) of the data elements  Visualization categories:  Dynamic (animations)  Static (stills) [nienhaus, 2005]09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 29
  • Colonia3D09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 30
  • Temporal Neighborhood in C3D [trapp et al., 2010]21.09.2011 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 31
  • Temporal Neighborhood in C3D [trapp et al., 2010]21.09.2011 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 32
  • 3D Flight Trajectories09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 33
  • 2D Density Maps09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 34
  • 3D Density Volumes09/01/2012 Integration von Fachinformationen in 3D-Darstellungen:: Xinnovations :: 19. - 21. September 2011 :: Matthias Trapp 35
  • Summary  (Geo)Visualization is still a developing field  Real-time / Interaction is a demand  High research potential: spatio-temporal visualization  Service-oriented architectures for implementationDatum Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 36
  • Thanks / Questions? Contact: matthias.trapp@hpi.uni-potsdam.de Special thanks to my collegues: Sebastian Pasewaldt Amir Semmo Stefan Buschmann Workgroup: Prof.-Dr. Jürgen Döllner Computer Graphics Systems Group Hasso-Plattner-Institut, University of Potsdam www.hpi3d.de09/01/2012 Neighborhood Visualization - Challenges and Approaches from a Geovisualization Perspective 37