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 1,2,3 and Helwig Hauser 2 1 Institute of Computer Graphics and Algorithms, Vienna University of Technology 2 Department of Informatics, University of Bergen 3 VRVis Research Center, Vienna

Motivation Increasing amounts of scientific data time-dependent medical scanner computational simulation 3D data Hard to analyze and understand 2 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

Visualization “The purpose of visualization is insight , not pictures” [Shneiderman ’99] Different application areas [Burns et al. 07] [Laramee et al. 03] [SequoiaView] 3 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

Typical Visualization Tasks Visualization is good for  visual exploration  find unknown/unexpected  generate new hypothesis  visual analysis (confirmative vis.)  verify or reject hypotheses  information drill-down  presentation  show/communicate results 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.)  Multi-run/ensemble simulations (repeated with varied parameter settings)  Multi-model scenarios 3D time-dependent (e.g., coupled climate model) simulation data 5 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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

Categorization  Literature review of 200+ papers on scientific data  How are vis., interaction, and 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. 09; Bertine & Lalanne 09] 7 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

Visual vs. Computational Analysis  Interactive Visual Analysis  Automated Data Analysis + user-guided analysis possible - needs precise definition of goals + detect interesting features - limited tolerance of data artifacts without looking for them - result without explanation + understand results in context - computationally expensive + uses power of human visual + hardly any interaction required system (after setup)  human involvement not always + scales better w.r.t. many possible or desirable (expensive!) dimensions  limited dimensionality + precise results  often only qualitative results + long history (mostly statistics)  (still) often unfamiliar 8 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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] 9 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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 et al. 02]  opacity modulation  filigreed  colormap enhancement  2D heightmap colormap + square wave modulation J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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 11 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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] 12 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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] 13 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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. 11]  side-by-side comparison  overlay in same coordinate system  explicit encoding of differences / correlations side-by-side comp. spatiotemporal multi-modal overlay explicit encoding of differences 2-tone coloring [Saito et al. 05] Nested surfaces [Buskin et al. 11] 14 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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. 10] spatiotemporal Mon Tue Wed average traffic Thu Fri Sat Sun 15 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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. 08] scatterplot 3D transition between matrix 2 scatterplots multi-variate 16 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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 17 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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] 18 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

visual mapping interactive visual analysis comput. analysis focus+context & relation & data abstraction overview+detail interactive comparison & aggregation navigation visual data fusion feature spec.  Focus+context visualization  different graphical resources (space, opacity, color, etc.)  focus specification (e.g., by pointing, brushing or querying)  Clustering & outlier preservation Outlier-preserving focus+context [Novontný & Hauser 06] 19 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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] 20 J. Kehrer Visual Analysis of Multi-faceted Scientific Data

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 21 J. Kehrer Visual Analysis of Multi-faceted Scientific Data