visualization and visual analysis
play

Visualization and Visual Analysis of Multi-faceted Scientific Data: - PowerPoint PPT Presentation

Visualization and Visual Analysis of Multi-faceted Scientific Data: A Survey Johannes Kehrer 1,2 and Helwig Hauser 1 1 Department of Informatics, University of Bergen, Norway 2 VRVis Research Center, Vienna, Austria Motivation Large amounts of


  1. Visualization and Visual Analysis of Multi-faceted Scientific Data: A Survey Johannes Kehrer 1,2 and Helwig Hauser 1 1 Department of Informatics, University of Bergen, Norway 2 VRVis Research Center, Vienna, Austria

  2. Motivation Large amounts of complex data in many areas medical scanners global climate automotive simulations engineering Data are increasing in complexity & variability 2 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  3. Multi-faceted Scientific Data  Spatiotemporal data  Multi-variate/multi-field data (multiple data attributes, e.g., temperature or pressure)  Multi-modal data (CT, MRI, large-scale measurements, simulations, etc.)  Multi-run/ensemble simulations (repeated with varied parameter settings)  Multi-model scenarios 3D time-dependent (e.g., coupled climate model) simulation data 3 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  4. Multi-faceted Scientific Data  Spatiotemporal data  Multi-variate/multi-field data (multiple data attributes, e.g., multi-run distribution temperature or pressure) per cell  Multi-modal data (CT, MRI, large-scale measurements, simulations, etc.) simulation parameters  Multi-run/ensemble simulations (repeated with varied parameter settings)  Multi-model scenarios 3D time-dependent (e.g., coupled climate model) simulation data 4 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  5. Multi-faceted Scientific Data Coupled climate models [ Böttinger, ClimaVis08 ] Land 5 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  6. Categorization  Literature review of 200+ papers on scientific data  How are visualization, interaction & comput. analysis combined? what are main interaction concepts how to represent characteristics / (linking & brushing, zooming, the data features view reconfiguration, etc.) interactive visual analysis visual mapping comput. analysis relation & focus+context & data abstraction comparison overview+detailinteractive & aggregation visual data fusion navigation feature spec. [compare to Keim et al. 2009; Bertine & Lalanne 2009] 6 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  7. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction comparison overview+detail interactive & aggregation visual data fusion navigation feature spec. Fusion within a single visualization  common frame of reference  layering techniques (e.g., glyphs, color, transparencey)  multi-volume rendering (coregistration, segmentation) spatiotemporal multi-variate multi-modal Helix glyphs [Tominski et al. 05] Layering [Kirby et al. 99] Multi-volume rendering [Beyer et al. 07] 7 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  8. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction comparison overview+detail interactive & aggregation visual data fusion navigation feature spec. multi-variate Layering techniques [Wong ‘02]  opacity modulation  filigreed  colormap enhancement  2D heightmap colormap + square wave modulation J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  9. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction comparison overview+detail interactive & aggregation visual data fusion navigation feature spec. Preattentive Visual Features: textures and colors [Healey & Enns 02] multi-variate  temperature  color  wind speed  coverage  pressure  size  precipitation  orientation 9 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  10. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction comparison overview+detail interactive & aggregation visual data fusion navigation feature spec. Glyph-based visualization [Lie et al. 09] Variations of super ellipse-based glyphs Glyph Rotation (-45  , 45  ): Flow Velocity Glyph color: Normalized Temperature Low Pressure High Johannes Kehrer J. Kehrer Visual Analysis of Multi-faceted Scientific Data Vapor Low High

  11. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction comparison overview+detail interactive & aggregation visual data fusion navigation feature spec. Fusion of multiple simulation runs  spaghetti plots [Diggle et al. 02]  summary statistics (box plots and glyphs) multi-run multi-run isocontours EnsembleVis [Potter et al. 09] Glyph-based overview [Kehrer et al. 11] 11 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  12. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction comparison overview+detail interactive & aggregation visual data fusion navigation feature spec. Fusion of multiple simulation runs q 3  spaghetti plots [Diggle et al. 02] q 2 q 1  summary statistics (box plots and glyphs) multi-run multi-run isocontours EnsembleVis [Potter et al. 09] Glyph-based overview [Kehrer et al. 11] 12 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  13. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction overview+detail comparison interactive & aggregation visual data fusion navigation feature spec. Taxonomy [Gleicher et al. 2011]  side-by-side comparison  overlay in same coordinate system side-by-side comp.  explicit encoding of differences / correlations spatiotemporal multi-modal overlay explicit encoding of differences 2-tone coloring [Saito et al. 05] Nested surfaces [Buskin et al. 11] 13 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  14. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction overview+detail comparison interactive & aggregation visual data fusion navigation feature spec. Difference Views [Daae Lampe et al. 2010] spatiotemporal Mon Tue Wed average traffic Thu Fri Sat Sun 14 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  15. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction comparison overview+detail interactive & aggregation navigation visual data fusion feature spec.  Interactive search, zooming, and panning  Scatterplot Matrix Navigation [Elmqvist et al. 2008] scatterplot 3D transition between matrix 2 scatterplots multi-variate 15 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  16. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction comparison overview+detail interactive & aggregation navigation visual data fusion feature spec. [Johansson & Johansson 09] multi-variate  Ranking/quality metrics [Bertini et al. 2011]  clustering, correlations, outliers, image quality, etc.  Automated viewpoint selection  information-theoretic measures [Viola et al. 06] segmented volume data 16 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  17. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction comparison overview+detail interactive & aggregation navigation visual data fusion feature spec. Parameter space navigation (multi-run data) input output focal variations focal point variations point [Berger et al. 11] 17 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  18. visual mapping interactive visual analysis comput. analysis focus+context & relation & data abstraction overview+detail interactive comparison & aggregation navigation visual data fusion feature spec. segmented data  Focus+context visualization  different graphical resources [Viola et al. 05] (space, opacity, color, etc.)  focus specification, e.g., by pointing, brushing or querying multi-variate  Clustering & outlier preservation [Novontný & Hauser 06] 18 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  19. visual mapping interactive visual analysis comput. analysis focus+context & relation & data abstraction overview+detail interactive comparison & aggregation navigation visual data fusion feature spec.  Overview+detail representation of multi-run data summary statistics multi-run data quantile plot Brushing statistical moments [Kehrer et al. 10] 19 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  20. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction overview+detail interactive comparison & aggregation navigation feature spec. visual data fusion  Brushing in multiple linked views  SimVis [Doleisch et al. 03, 04] 3D view attribute views 20 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

  21. visual mapping interactive visual analysis comput. analysis relation & focus+context & data abstraction overview+detail interactive comparison & aggregation navigation feature spec. visual data fusion Select function graphs based on similarity [Muigg et al. 2008]  pattern sketched by user  similarity evaluated on gradients (1st derivative) J. Kehrer Visual Analysis of Multi-faceted Scientific Data

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend