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SystemTechnique UsedComparison CategoryGeneral CategoryDescriptionData Type ComparedComparison ScaleCategorized ByCited in PaperMentioned in PaperCitation
2 1/2 D Related Metabolic Pathways 2 1/2 D Related Metabolic Pathways Juxtaposition/Superposition Network Visually compares a number of 2D graphs by stacking them. uses colors to denote apearence and disapearnce of an edge between different networks. Metabolic and social networks Several Ilir Yes Yes Brandes et al. Visualizing Related Metabolic Pathways in Two and a Half Dimensions. Graph Drawing, 2003. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.1962
Ac plagiarism detection system Text View Explicit Representation Chart Instead of displaying the text the AC visualization system presents differences of the documents from each other. These differences are displayed by a graph visualization and a histogram representation. Text 2 RW Yes Yes Freire. Visualizing program similarity in the Ac plagiarism detection system. AVI, 2008. http://dl.acm.org/citation.cfm?id=1385644
Acoustic Visualization Phonon Tracing Juxtaposition Images Acoustic data is mapped to a spatial region by a heat-map. Waves can also be represented through landscape plots of the acoustic intensity and particle visualization of wave propagation. Acoustic Wave Data Many DA Yes No Deines et al. Comparative Visualization for Wave-Based and Geometric Acoustics. IEEE Transactions on Visualization and Computer Graphics, 2006. http://www-hagen.informatik.uni-kl.de/~deines/pdf/vis06.pdf
Acoustic Visualization FEM Simulation Juxtaposition Images Acoustic data is mapped to a spatial region by a heat-map. Waves can also be represented through landscape plots of the acoustic intensity and particle visualization of wave propagation. Acoustic Wave Data Many DA Yes No Deines et al. Comparative Visualization for Wave-Based and Geometric Acoustics. IEEE Transactions on Visualization and Computer Graphics, 2006. http://www-hagen.informatik.uni-kl.de/~deines/pdf/vis06.pdf
ACT CMV for visualization Explicit Representation/Juxtaposition Interaction and/or animation Interacting with the primary ACT Feature view allows the user to navigate within various subplots to explore specific regions and pairings in the data. Genome Sequences 2 DA Yes No Carver et al. ACT: The Artemis Comparison Tool. Bioinformatics, 2005. http://bioinformatics.oxfordjournals.org/content/21/16/3422.full
ACT Feature Plot Explicit Representation/Juxtaposition Chart Genomic sequences are treated as axes for a parallel coordinate plot. Correspondences between different pairs are highlighted using parallel set techniques. Genome Sequences Several DA Yes No Carver et al. ACT: The Artemis Comparison Tool. Bioinformatics, 2005. http://bioinformatics.oxfordjournals.org/content/21/16/3422.full
ACT Synteny Plots Juxtaposition/Explicit Representation Chart Sequences are plotted to horizontal axes. Synteny information between the different sequences is represented through bands between the respective axes. Genome Sequences Several DA Yes No Carver et al. ACT: The Artemis Comparison Tool. Bioinformatics, 2005. http://bioinformatics.oxfordjournals.org/content/21/16/3422.full
ACT Detail Table Juxtaposition Tabular DA Yes No Carver et al. ACT: The Artemis Comparison Tool. Bioinformatics, 2005. http://bioinformatics.oxfordjournals.org/content/21/16/3422.full
ActiviTree Activitree Superposition Network Provides a network style overview visualization of sequences in large sets of event-based temporal data. The user can drill down into sequence plots of interesting data points. Sequences in Event-Based Data Many DA Yes Yes Vrotsou et al. ActiviTree:Interactive Visual Exploration of Sequences in Event-Based Data Using Graph Similarity. IEEE Transactions on Visualization and Computer Graphics, 2009. http://dl.acm.org/citation.cfm?id=1639190
AdaptiviTree AdaptiviTree brackets Juxtaposition Network Visualizes the outcome of bracket-style matchups in a compact visual space. Comparative because it provides a visual comparison of a large series of games between a large subject pool in a compact visual representation. Sporting Matches Many DA Yes No Tan et al. AdaptiviTree: Adaptive Tree Visualization for Tournament-Style Brackets. IEEE Transactions on Visualization and Computer Graphics, 2007. http://research.microsoft.com/pubs/64282/tvcg2007-adaptivitree.pdf
AlignScope Whole Genome Alignment Vis with LOD Rep Juxtaposition Chart Compares two genomic sequences by laying them out in parallel tracks and connecting similar regions using synteny lines, as in Mauve. Genome Sequences 2 DA Yes No Jin and Cho. Visualization of Whole Genome Alignment with LOD Representation. CGI, 2006. http://dl.acm.org/citation.cfm?id=2100408
Animated Causal Diagrams Causal Animations Juxtaposition Interaction and/or animation Displays causal relations through animated transitions through a series of diagrams displaying change in a data series. Causal Relations Several DA Yes No
Bubble Sets Overlay of secondary relationships Superposition Map Compares relationships between data points when spatialization is significant to a primary relationship. Isocontours delineate sets in the data based on the set of spatially insignificant relations and are overlaid on the original relation visualization. Points in a Visualization Several DA Yes No Collins et al. Bubble sets: revealing set relations with isocontours over existing visualizations. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05290706
Cerebral Parallel coordinates Superposition Chart A traditional parallel coordinate display is used to track the expression levels of biomolecules across several different experiments simultaneously. Biomolecules many DA Yes No Barsky et al. Cerebral: visualizing multiple experimental conditions on a graph with biological context. IEEE Transactions on Visualization and Computer Graphics, 2008. http://www.cs.ubc.ca/nest/imager/tr/2008/cerebral/
Cerebral Graph layout Explicit Representation/Juxtaposition Network Biological data across various experiments is represented in a small multiples display. The data within each experimental condition is represented by a graph laid out according to biological function within each molecule. Interaction can be used to reveal similarity between different experiment graphs. Graph Several DA Yes No Barsky et al. Cerebral: visualizing multiple experimental conditions on a graph with biological context. IEEE Transactions on Visualization and Computer Graphics, 2008. http://www.cs.ubc.ca/nest/imager/tr/2008/cerebral/
Cerebral Small multiples Juxtaposition Chart Displays multiple levels of biological data in a set of coordinated views. Different experimental sets are shown in a small-multiples view. Graph Several DA Yes No Barsky et al. Cerebral: visualizing multiple experimental conditions on a graph with biological context. IEEE Transactions on Visualization and Computer Graphics, 2008. http://www.cs.ubc.ca/nest/imager/tr/2008/cerebral/
CGView Server CGView Juxtaposition Chart Tracks of genome data for circular sequences are laid out in concentric circles. The tracks and data representations are user-dependent. Genomes Several DA Yes No Grant and Stothard. The CGView Server: A Comparative Genomics Tool for Circular Genomes. Nucleic Acids Research, 2008. http://nar.oxfordjournals.org/content/36/suppl_2/W181.abstract
CMap3D CMap3D Explicit Representation/Juxtaposition Chart Heritable traits are mapped out across genome tracks. These tracks are juxtaposed on the visual canvas and similar regions are linked. Genome Sequences Several DA Yes No Duran et al. CMap3D: a 3D Visualization Tool for Comparative Genetic Maps. Bioinformatics, 2010. http://bioinformatics.oxfordjournals.org/content/26/2/273.full
code\_swarm Code swarm Superposition Images Visualizes the contributions to a code-base over time. Contributor is mapped to location, type to color, and a histogram tracks commit trends over time as does an animated progression through the temporal stages of the data. Code Repository Changes over time Many DA Yes No Ogawa and Ma. code_swarm: A Design Study in Organic Software Visualization. IEEE Transactions on Visualization and Computer Graphics, 2009. http://www.michaelogawa.com/research/code_swarm/
COMBO Alignment Panel Explicit Representation Chart Displays two genome annotation tracks in parallel. Local resolution control can be done via interaction. Genome Annotations 2 DA Yes Yes Engels et al. Combo: A whole genome comparative browser. Bioinformatics, 2006. http://bioinformatics.oxfordjournals.org/content/22/14/1782.full
COMBO Dot Plot Window Explicit Representation Chart Dot plot of genome alignments synchronized with a display of annotation data at each axis. Dots in the plot represent correspondences between the aligned genomes. Genome Sequences 2 DA Yes Yes Engels et al. Combo: A whole genome comparative browser. Bioinformatics, 2006. http://bioinformatics.oxfordjournals.org/content/22/14/1782.full
COMBO CMV for visualization Explicit Representation/Juxtaposition Interaction and/or animation Aligned genome sequences can be simultaneously explored using a dotplot and parallel view. Particular comparative details about the relationship between the two sequences can be explicitly traced using interaction between the two visualizations. Genome Sequences 2 DA Yes Yes Engels et al. Combo: A whole genome comparative browser. Bioinformatics, 2006. http://bioinformatics.oxfordjournals.org/content/22/14/1782.full
COMBO Feature Maps Juxtaposition Chart Genome features are laid out in parallel. Glyphs encode feature read direction and correspondence in columns give information on locations of features within the genomes. Genome Sequences 2 DA Yes Yes Engels et al. Combo: A whole genome comparative browser. Bioinformatics, 2006. http://bioinformatics.oxfordjournals.org/content/22/14/1782.full
COMPAM Synteny Plot Explicit Representation/Juxtaposition Chart Genomes are laid out in parallel tracks. Links between tracks are drawn on demand to show conservation between several genomes. Genome Sequences Several DA Yes No Lee et al. COMPAM: visualization of combining pairwise alignments for multiple genomes. Bioinformatics, 2006. http://bioinformatics.oxfordjournals.org/content/22/2/242.full.pdf
COMPAM Track Viewer Juxtaposition Chart Visualizes subsets of whole-genome alignment data as parallel strands of conserved regions, drilling down into the larger synteny block graph. Genome Sequences Several DA Yes No Lee et al. COMPAM: visualization of combining pairwise alignments for multiple genomes. Bioinformatics, 2006. http://bioinformatics.oxfordjournals.org/content/22/2/242.full.pdf
COMPAM Text View Juxtaposition Chart Genome sequence data from whole-genome alignments is decomposed into base data. This base-level alignment is then displayed as text in parallel tracks. Genome Sequences Several DA Yes No Lee et al. COMPAM: visualization of combining pairwise alignments for multiple genomes. Bioinformatics, 2006. http://bioinformatics.oxfordjournals.org/content/22/2/242.full.pdf
COMPAM CMV for visualization Juxtaposition Interaction and/or animation Interacting with high-level overview displays allows the user to drill down into different regions of the alignments using more targeted visualizations. Genome Sequences Several DA Yes No Lee et al. COMPAM: visualization of combining pairwise alignments for multiple genomes. Bioinformatics, 2006. http://bioinformatics.oxfordjournals.org/content/22/2/242.full.pdf
Composite Categorical Patterngram (CCP) Text View Explicit Representation Chart Plots points on a graph depending on whether the text strings are unique, in two files or in several files. Text Several RW Yes No R. Ribler and M. Abrams. Using visualization to detect plagiarism in computer science classes. In 2000 IEEE Symposium on Information Visualization (IEEE Transactions on Visualization and Computer Graphics), page 173. IEEE, October 2000. http://dl.acm.org/citation.cfm?id=857699
Contrast Treemaps Treemap Juxtaposition Chart A new treemap layout algorithm is used to reduce abrupt changes between maps in sets of treemaps. These maps are then juxtaposed to facilitate comparison between data sets. Hierarchical data Many Ilir Yes No Tu and Shen. Visualizing Changes of Hierarchical Data using Treemaps. IEEE Transactions on Visualization and Computer Graphics, 2007. http://www.cse.ohio-state.edu/~hwshen/papers/Tu2007.pdf
DAG Tree Comparison Visualization DAG Tree Explicit Representation Network Allows the comparison of multiple trees by treating each tree as a DAG, overlaying them, and displaying the result in an agglomerated manner. Trees Several Ilir Yes No Graham and Kennedy. Exploring Multiple Trees through DAG Representation. IEEE Transactions on Visualization and Computer Graphics, 2007. http://dl.acm.org/citation.cfm?id=1313160
DataMeadow DataRose - Parallel Coordinate Mode Superposition Chart Maps data points in a visualization to a DataRose, which internally visualizes secondary relations within that data point. The DataRoses are then linked over a primary relation. Multidimensional Datasets Many DA Yes Yes Elmqvist et al. DataMeadow: A Visual Canvas for Analysis of Large-Scale Multivariate Data. IEEE Symposium on Visual Analytics Science and Technology, 2007. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04389013
DataMeadow DataRose - Color Histogram and Opacity Bands mode Superposition/Explicit Representation Chart Overlays multidimensional data from a particular dataset of interest into a single glyph.Relations between these glyphs are then connected using explicit arcs between glyphs. Multidimensional Data Points Many DA Yes Yes Elmqvist et al. DataMeadow: A Visual Canvas for Analysis of Large-Scale Multivariate Data. IEEE Symposium on Visual Analytics Science and Technology, 2007. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04389013
DataMeadow DataMeadow Superposition/Explicit Representation Network Utilizes networks of superposition information to convey properties about large, complex data sets. Multidimensional Datasets Several DA Yes Yes Elmqvist et al. DataMeadow: A Visual Canvas for Analysis of Large-Scale Multivariate Data. IEEE Symposium on Visual Analytics Science and Technology, 2007. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04389013
Dendogram-Matrix Views Dendogram-matrix Juxtaposition Network Aggregates large amounts of hierarchical data into different levels of a dendogram. As the user drills down into the data, the individual data points are then displayed through a heatmap style matrix. Hierarchical Data Many DA Yes No Chen et al. Constructing overview+detail dendrogram-matrix views. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5290691
DEVise DEVise Juxtaposition/Superposition Chart A dynamic query visualizer. Large Datasets Many DA Yes No Livny et al. DEVise: Integrated Querying and Visual Exploration of Large Datasets. SIGMOD, 1997. http://pages.cs.wisc.edu/~devise/
diff Text View Juxtaposition Network Annotates the text with arrows to denote the differences. Text 2 RW Yes Yes Hunt and McIlroy. An Algorithm for Differential File Comparison" Computing Science Technical Report, Bell Laboratories 41. 1976. https://nanohub.org/infrastructure/rappture/export/2189/trunk/gui/src/diff.pdf
DNAVis DNAVis Juxtaposition Chart Displays detailed track information about visualized genomic sequences. Sequences are laid out in parallel tracks on a single viewpoint and different detailed representations of the sequence data is laid out parallel to the sequence glyph. Genome Sequences 2 DA Yes No Fiers et al. DNAVis: interactive visualization of comparative genome annotations. Bioinformatics, 2006. http://bioinformatics.oxfordjournals.org/content/22/3/354.full
Document Cards Document Cards Juxtaposition Map Documents in a corpus are mapped to a overview defined using semi-automatic methods. These "card" overviews are then juxtaposed in the screen to allow the user to compare between pages. Documents Many DA Yes No Strobelt et al. Document Cards: A Top Trumps Visualization for Documents. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05290723
Dotplot Text View Explicit Representation Chart Using ideas borrowed from biology for studying homology (self-similarity), visualises the points at which tokens differ between files Text Several RW Yes No Church and Helfman. Dotplot: A program for exploring self-similarity in millions of lines of text and code. Journal of Computational and Graphical Statistics, 1993. http://www.yildiz.edu.tr/~naydin/I2B/docs/DotPlots.pdf
DynaVis Animated Transformation between visualizations Juxtaposition Interaction and/or animation Compares different visualizations. Focus on facilitating understanding of transitions between different states. Visualizations Several DA Yes Yes Heer and Robertson. Animated Transitions in Statistical Data Graphics. IEEE Transactions on Visualization and Computer Graphics, 2007.
Edge Explorer side-by-side plots Superposition Chart The display shows four zoom-in views laid side-by-side for comparison. Edges in CT data Several RW Yes Yes Malik et al. Comparative Visualization for Parameter Studies of Dataset Series IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Society, 2010, 16, 829-840. http://www.computer.org/portal/web/csdl/doi/10.1109/TVCG.2010.20
EMDialog Tree Diagram Explicit Representation Network A context-based tree visualization breaks down information selected in a complementary overview visualization displays relationships between key concepts in the selected section of the overview to present context about a particular museum exhibit. Abstract Contextual Concepts Several DA Yes No Hinrichs et al. EMDialog: Bringing information visualization into the museum. IEEE Transactions on Visualization and Computer Graphics, 2008. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4658128
EMDialog Cut Section Juxtaposition Chart Data pertaining to a famous artist, Emily Carr, is laid out in in a series of concentric circles representing primary times and concepts. Concepts Several DA Yes No Hinrichs et al. EMDialog: Bringing information visualization into the museum. IEEE Transactions on Visualization and Computer Graphics, 2008. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4658128
EMDialog Cut and Tree View Juxtaposition Interaction and/or animation Data pertaining to a famous artist, Emily Carr, is laid out in in a series of concentric circles representing primary times and concepts. Specific details about particular concepts is arrayed in the tree view. Concepts Several DA Yes No Hinrichs et al. EMDialog: Bringing information visualization into the museum. IEEE Transactions on Visualization and Computer Graphics, 2008. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4658128
English Hexapla New Testament Text View Juxtaposition Network One of the earliest demonstrations of Juxtaposition is demonstrated by English Hexapla New Testament. Here six English translations of the Bible are located in parallel columns, additionally with the Greek translation at the top. Text Several RW Yes Yes http://www.amazon.com/1841-English-Hexapla-Parallel-Testament/dp/B001M8WEU8
ETE Microarray Clustering Tree Explicit Representation/Juxtaposition Network A phylogenetic tree for experimental organisms provides evolutionary relationships between different organisms and organizes the heatmap rows at the end of each leaf of the tree. These heatmaps provide expression data from microarray experiments. Organisms Many DA Yes Yes Huerta-Cepas et al. ETE: A python Environment for Tree Exploration. BMC Bioinformatics, 2010. http://www.biomedcentral.com/1471-2105/11/24
ETE ETE Trees Explicit Representation/Juxtaposition Network Provides a system for analyzing phylogenetic and clustering trees. Annotation, alignment, and similar data can be juxtaposed based on the tree visualizations presented. Organisms Several DA Yes Yes Huerta-Cepas et al. ETE: A python Environment for Tree Exploration. BMC Bioinformatics, 2010. http://www.biomedcentral.com/1471-2105/11/24
Exemplar-based Visualization Exemplar-based visualization Superposition Chart Uses exemplars within the data set to create a compact approximation of the data categorization. This categorization projects the data onto a low-dimensional space, which is then laid out using a scatterplot-style visualization. Text Many RW Yes No Chen et al. Exemplar-based Visualization of a Large Document Corpus. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05290725
FacetMap FacetMap Visual Aggregations Juxtaposition Chart FacetMap provides a query-driven visualization of large data stores. It allows for visual data filtering and user interaction to explore different levels of detail within the data. Data Repositories Many DA Yes No Smith et al. FacetMap: A Scalable Search and Browse Visualization. IEEE Transactions on Visualization and Computer Graphics, 2006. http://research.microsoft.com/pubs/64297/tvcg2006-facetmap.pdf
FlowMap Migration flow mapping Superposition/Explicit Representation Map Displays regional flow data on top of cartographic displays. This data is further summarized using parallel coordinates plots coordinated with the flow map view. Regional Migration Data Many DA Yes No Guo. Flow Mapping and Multivariate Visualization of Large Spatial Interaction Data. IEEE Transactions on Visualization and Computer Graphics, 2009. http://dl.acm.org/citation.cfm?id=1639206
FromDaDy Overview Map Superposition Chart Information from multiple aircraft trajectories is superimposed into a single view over a geographic field. Aircraft Trajectories Many DA Yes Yes Hurter et al.FromDaDy: Spreading Aircraft Trajectories Across Views to Support Iterative Queries. IEEE Transactions on Visualization and Computer Graphics, 2009. http://perso.tls.cena.fr/hurter/FromDaDy/FromDaDy.html
FromDaDy Selection Matrix Juxtaposition/Superposition Chart Allows views to be arrangement in a matrix for comparison Aircraft trajectory data Several RW Yes Yes Hurter et al.FromDaDy: Spreading Aircraft Trajectories Across Views to Support Iterative Queries. IEEE Transactions on Visualization and Computer Graphics, 2009. http://perso.tls.cena.fr/hurter/FromDaDy/FromDaDy.html
G-compass C-Compass Explicit Representation/Juxtaposition Chart Maps of genomic regions are drawn parallel to one another and one-to-one correspondences are drawn across similar regions in the dataset. Comparison is done with the human chromosome and color represents the conserved position within the human chromosome. Genome Sequences 2 DA Yes No Kawahara et al. G-compass: a web-based comparative genome browser between human and other vertebrate genomes. Bioinformatics, 2009. http://bioinformatics.oxfordjournals.org/content/25/24/3321.full
Generalized Tree Maps Treemap Juxtaposition/Superposition Network Tree maps layouts and structures are contorted to replicate common business graphics. These new maps can have alternative layouts and be paired with other data structures, like trees or pie charts, to convey hierarchical information in conventional structures. Hierarchical Data Many DA Yes No Tu and Shen. Visualizing Changes of Hierarchical Data using Treemaps. IEEE Transactions on Visualization and Computer Graphics, 2007. http://www.cse.ohio-state.edu/~hwshen/papers/Tu2007.pdf
GeneShelf Biosynthesis Diagram Explicit Representation/Juxtaposition Diagram Specific genes of interest are laid out according to an explicit directed pathway graph. Gene Pathways Several DA Yes No Kim et al. GeneShelf: A Web-based Visual Interface for Large Gene Expression Time-Series Data Repositories. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05290693
GeneShelf CMV Model of visualizations Explicit Representation/Juxtaposition Interaction and/or animation Interaction with the tabular views provides new context to the biosynthesis graphs and diagrams. Gene Pathway Conditions Several DA Yes No Kim et al. GeneShelf: A Web-based Visual Interface for Large Gene Expression Time-Series Data Repositories. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05290693
GeneShelf Gene/Pathway Table Explicit Representation/Juxtaposition Tabular A colored table represents primary genes active in a given pathway. Color supplements the given molecular values to provide more rapid search. Genes Several DA Yes No Kim et al. GeneShelf: A Web-based Visual Interface for Large Gene Expression Time-Series Data Repositories. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05290693
GeneShelf Small multiples diagrams Juxtaposition/Superposition Chart Linegraphs, which reveal bar graphs at detail, provide a small multiples view of different pathway expression levels across different conditions. Gene Pathway Data Several DA Yes No Kim et al. GeneShelf: A Web-based Visual Interface for Large Gene Expression Time-Series Data Repositories. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05290693
Geographically Weighted Interactive Graphics Geographically weighted maps Superposition Map Uses multiple views to compare different scales and dimensions of the data. Views are juxtaposed with one another while the views themselves display a superposition of the different data points (gw-boxes, heat maps, and scalograms). Geospatial Data Several DA Yes No Brunsden and Dykes. Geographically weighted visualization–interactive graphics for scale-varying exploratory analysis. TVCG, 1998. http://www.computer.org/csdl/trans/tg/2007/06/v1161-abs.html
Geovisualization Mashup Geovis mashup Superposition Maps Results of a geospatial query are mapped atop the cartographic map of the query region. Different encodings and supplemental visualizations are provided based on a series of user parameters for the search. Geographic Datasets Many DA Yes Yes Wood et al. Interactive Visual Exploration of a Large Spatio-Temporal Dataset: Reflections on a Geovisualization Mashup. IEEE Transactions on Visualization and Computer Graphics, 2007. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04376138
GEVOL GEVOL Animated Network Evolution Superposition Network Visualizes the changes to large code bases using animated transitions through a representative network over time. While animation is juxtaposition in time, primary mechanism of this comparison is through superimposing the network on the union graph of the time series networks. Code Repositories over Time Many DA Yes Yes Collberg et al. A System for Graph-Based Visualization of the Evolution of Software. SoftVis, 2003. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.114.8242&rep=rep1&type=pdf
Googawho Text View Juxtaposition Diagram Displays the results from three search engines in side-by-side views. Yes No http://www.googawho.com/
Graphical Histories History track Juxtaposition Diagram The system tracks the history of visual exploration of data within the Tableau system and juxtaposes these historical views to allow the user to view and revisit different perspectives on the data. Visualizations Several DA Yes No Heer et al. Graphical Histories for Visualization: Supporting Analysis, Communication, and Evaluation. IEEE Transactions on Visualization and Computer Graphics, 2008. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04658129
Growing Polygons Growing Polygon Relations Explicit Representation Network Relationships between glyphs in the Growing Polygons technique are represented in three different ways. Color of different sectors of the polygon represents the transmission of a process to different regions of the glyph object. Arrows between glyphs represent the passage of information between glyphs. The growth of the polygons themselves give representational data as to the relative progression of the data represented by the various glyphs. Causal Relations Several DA Yes No Elmqvist and Tsigas. Causality Visualization Using Animated Growing Polygons. IEEE Transactions on Visualization and Computer Graphics, 2003. https://engineering.purdue.edu/~elm/projects/causalviz.html
Growing Polygons Growing Polygons Glyphs Juxtaposition Chart Glyphs represent principle relations in a dataset. The size and rate of growth presents causal data by relative size and growth rates. Causal Data Several DA Yes No Elmqvist and Tsigas. Causality Visualization Using Animated Growing Polygons. IEEE Transactions on Visualization and Computer Graphics, 2003. https://engineering.purdue.edu/~elm/projects/causalviz.html
Growing Polygons Growing Polygons Animation Juxtaposition Interaction and/or animation Causal relations and information flow overtime is represented using a series of animated polygon diagrams linked using a Hasse diagram paradigm. Causal Data Several Ilir Yes No Elmqvist and Tsigas. Causality Visualization Using Animated Growing Polygons. IEEE Transactions on Visualization and Computer Graphics, 2003. https://engineering.purdue.edu/~elm/projects/causalviz.html
Heat Maps for Incomplete and Partially Ranked Data Heat Map Superposition Images Uses k-means clustering and power transforms to provide heat-mapped visualizations of ranked data. Partially-Ranked Data Many DA Yes No Kidwell et al. Visualizing Incomplete and Partially Ranked Data. IEEE Transactions on Visualization and Computer Graphics, 2008. http://www.cc.gatech.edu/~lebanon/papers/mdsRanking.pdf
Hierarchical Edge Bundles Hierarchical edge bundles Superposition Network Displays information from a compound graph structure as a tree with adjacency edges bundled along the path of the inclusion edges. The visualization maintains the hierarchical nature of the data while still maintaining the connectivity data of the compound graph relations. Hierarchical Data Many DA Yes Yes Holten. Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data. IEEE Transactions on Visualization and Computer Graphics, 2006. http://www.win.tue.nl/~dholten/papers/bundles_infovis.pdf
Hierarchical Structuring of Dense Graphs via Stratification Hierarchically stratified graph Superposition Network Dense graphs are abstracted into hierarchical groups based on their aggregation and replaced by their contour and point clouds. Details of the graph structure are available on zoom/demand. Hierarchical Data Many DA Yes No Kumar and Garland. Visual Exploration of Complex Time-Varying Graphs. IEEE Transactions on Visualization and Computer Graphics, 2006. http://www.computer.org/csdl/trans/tg/2006/05/v0805-abs.html
HiPP Hierarchical point placement Superposition Network Constructs hierarchical clusters of large document corpuses using cluster aggregation and abstraction. The clusters are plugged into a data map based on projections from high-dimensional space to 2D. Document Clusters Many DA Yes No Paulovich and Minghim. HiPP: A Novel Hierarchical Point Placement Strategy and its Application to the Exploration of Document Collections. IEEE Transactions on Visualization and Computer Graphics, 2008. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04658134
HNMap Interactive Bar Chart Explicit Representation/Juxtaposition Chart Maps IP data values into a histogram-like colored bar chart to compare relative expression values across a series of IP traffic datasets. IP Traffic over time Many DA Yes Yes Mansmann et al. Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats. IEEE Transactions on Visualization and Computer Graphics, 2007. http://kops.ub.uni-konstanz.de/bitstream/handle/urn:nbn:de:bsz:352-opus-68688/InfoVis2007NetworkSecurity.pdf?sequence=1
HNMap Tree Map Juxtaposition Chart A tree map displays comparisons between IP traffic and geographic data across a number of different data sets. IP Data Many DA Yes Yes Mansmann et al. Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats. IEEE Transactions on Visualization and Computer Graphics, 2007. http://kops.ub.uni-konstanz.de/bitstream/handle/urn:nbn:de:bsz:352-opus-68688/InfoVis2007NetworkSecurity.pdf?sequence=1
Hotmap Heatmap Superposition Map Overlays geographic datasets atop geographic displays. Data is displayed in a transparent heat-map visualization. Geospatial Data Many DA Yes No Fisher. Hotmap: Looking at Geographic Attention. IEEE Transactions on Visualization and Computer Graphics, 2007. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04376139
Integrated Proteomic Data Visualization Process Diagrams Superposition Diagram Superimposes detail \& overview windows on parallel planes. Displays full proteomic network and pathway data on a single overview. Proteomic Networks Several DA Yes yes Jianu et al. Visual Integration of Quantitative Proteomic Data, Pathways and Protein Interactions. IEEE Transactions on Visualization and Computer Graphics, 2010. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05262942
ItLv Text View Explicit Representation/Juxtaposition Network Displays changes as bars that are aligned on a timeline. The x-axis represents time with the y-axis representing each book being compared.Small bars along each progress line depict the differences of the editions; the height of the bar denotes the number of differences. Text Several RW Yes Yes Monroy et al. Interactive timeline viewer (itlv): A tool to visualize variants among documents. In Lecture Notes in Computer Science, pages 39–49. Springer- Verlag, 2002. http://cervantes.tamu.edu/pubs/jcdl02ivw.pdf
Layout Constraint Graphs Layout Constraint Graphs Explicit Representation/Juxtaposition Network Uses layout constraint to draw similar parts of the graph in the same level to facilitate the comaprision. It places the graphs side by side and additionally colorcodes the differences. Metabolic Networks Several Ilir Yes Yes Schreiber. Visual comparison of metabolic pathways. Journal of Visual Languages and Computing, 2003. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.9328
Lydia Entity datamap Superposition Map Explores the regional distribution of news articles and their subjects to estimate reference entity frequencies. This data is overlaid on a cartographic depiction of the region of interest in a heat-map style visualization. Text 2 RW Yes No Mehler et al. Spatial Analysis of News Sources. IEEE Transactions on Visualization and Computer Graphics, 2006. http://www.ece.lsu.edu/xinli/Research/HeatMap_TVCG06.pdf
ManyNets ManyNets Juxtaposition Network Presents an approach to visualize many networks in a table where rows represent the networks and columns contain values of user-defined statistic such as link count, clustering coefficient, or degree distribution. This way each row could be regarded as a fingerprint of a network and users can compare different network by comparing different row fingerprints. The use of focus+context techniques makes the comparison easier. Networks Many Ilir Yes No Freire et al. ManyNets: an interface for multiple network analysis and visualization. CHI, 2010. http://hcil.cs.umd.edu/trs/2009-30/2009-30.pdf
MapsCompare Text View Juxtaposition Diagram Displays four maps side by side and links navigation between each of them. Yes No http://geshout.com/mapscompare/all.php
MatrixExplorer Network Explicit Representation/Juxtaposition Network Explorer allows the user to compare social networks using a matrix or a node-link approach. The different components of the various networks are laid out in a single view and their connections based on the networks represented in the view are then drawn atop this original layout. Social Networks Many Ilir Yes No Henry and Fekete. Explorer: A Dual-Representation System to Explore Social Networks. IEEE Transactions on Visualization and Computer Graphics, 2006. http://www.lri.fr/~nhenry/docs/Henry-InfoVis2006.pdf
MatrixExplorer Matrix Juxtaposition Network Represents social networks as matrices, used for different tasks within multiple view system. Clustering can be used to compare sections of networks. Graph Several RW Yes No Henry and Fekete. Explorer: A Dual-Representation System to Explore Social Networks. IEEE Transactions on Visualization and Computer Graphics, 2006. http://www.lri.fr/~nhenry/docs/Henry-InfoVis2006.pdf
Mauve Mauve Explicit Representation Chart Aligned tracks of genomic sequences are laid out in parallel tracks. Similar regions are connected by synteny lines. Annotation data and alignment data are encoded in the glyphs of the tracks. Genome Sequences Several DA Yes yes Darling et al. Mauve: Multiple Alignment of Conserved Genomic Sequence with Rearrangements. Genomic Research, 2004. http://www.ncbi.nlm.nih.gov/pubmed/15231754
MERL forensic surveillance system CMV Model of visualizations Explicit Representation Interaction and/or animation Selecting subsets of camera tracks controls the data loaded into the different corresponding panes of the visualizations. CMV is essentially used here for obtaining and navigating through details. Security Camera Viewpoint Footage Several DA Yes No Ivanov et al. Visualizing the History of Living Spaces. Information Visualization, 2007. http://www.merl.com/papers/docs/TR2007-068.pdf
MERL forensic surveillance system Tracklets Tree Explicit Representation Network These trees break down camera footage from multiple security cameras and viewpoints. The corresponding footage is spliced and loaded into the tree such that the user can compile a full track by selecting subsets of the graph. Security Camera Viewpoint Footage Several DA Yes No Ivanov et al. Visualizing the History of Living Spaces. Information Visualization, 2007. http://www.merl.com/papers/docs/TR2007-068.pdf
MERL forensic surveillance system Track Builder / Small Multiples Viewer Juxtaposition Chart Uses small multiples to display representative clips of security camera footage. Video Clips Several DA Yes No Ivanov et al. Visualizing the History of Living Spaces. Information Visualization, 2007. http://www.merl.com/papers/docs/TR2007-068.pdf
MERL forensic surveillance system Floor Plan Map Juxtaposition Map Compares person locations by showing time-lapse maps of position Motion Paths within Space Several DA Yes No Ivanov et al. Visualizing the History of Living Spaces. Information Visualization, 2007. http://www.merl.com/papers/docs/TR2007-068.pdf
MERL forensic surveillance system Time-lapse map Juxtaposition Map Compares person locations by showing time-lapse maps of position or graphs of sensor activation Motion Paths within Space Several DA Yes No Ivanov et al. Visualizing the History of Living Spaces. Information Visualization, 2007. http://www.merl.com/papers/docs/TR2007-068.pdf
MERL forensic surveillance system Track Timeline Superposition Chart Lays out a selected set of video footage across time. Video Tracks Several DA Yes No Ivanov et al. Visualizing the History of Living Spaces. Information Visualization, 2007. http://www.merl.com/papers/docs/TR2007-068.pdf
MERL Forensic Surveillance System Map control Superposition Map Motion data from security cameras and sensors in a building is tracked and visualized using juxtaposed views of the data. The data is mapped to a cartographic layout of the space in question and in a superimposed line graph-style projection. Motion Paths Several DA Yes No Ivanov et al. Visualizing the History of Living Spaces. Information Visualization, 2007. http://www.merl.com/papers/docs/TR2007-068.pdf
MERL forensic surveillance system Timeline Juxtaposition Chart DA Yes No Ivanov et al. Visualizing the History of Living Spaces. Information Visualization, 2007. http://www.merl.com/papers/docs/TR2007-068.pdf
Mizbee Conservation viewer Explicit Representation Map Displays the synteny relationships between two genomes. The overview chromosome is display around the reference and chromosomes of interest are draw in the loop of the reference. Matching regions are delineated via curves. Genome Sequences 2 DA Yes Yes Meyer et al. Mizbee: A Multiscale Synteny Browser. IEEE Transactions on Visualization and Computer Graphics, 2009. http://www.cs.utah.edu/~miriah/mizbee/Overview.html
Mizbee Block Viewer Explicit Representation/Juxtaposition Chart Provides a detailed view of chromosomes containing query genes. Features and their matches are conveyed on parallel tracks and exact matches between the two chromosomes are made explicit through links connecting related genes. Chromosome Sequences 2 DA Yes Yes Meyer et al. Mizbee: A Multiscale Synteny Browser. IEEE Transactions on Visualization and Computer Graphics, 2009. http://www.cs.utah.edu/~miriah/mizbee/Overview.html
Motion Visualization Framework Small Multiples Juxtaposition Chart Biomechanical data is analyzed through a series of coordinated views. Small multiples juxtapose the changes to the position of points on a monitored space over time. Biomechanical Motion Paths Many DA Yes Yes Keefe et al. Interactive Coordinated Multiple-View Visualization of Biomechanical Motion Data. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ivlab.cs.umn.edu/generated/pub-Keefe-2009-MultiViewVis.php
Motion Visualization Framework Parallel Coordinates Superposition Chart Dimensions describing a series of biomechanical motions form axis for a parallel coordinates plot to track changes across different frames of biomechanical motion data. Biomechanical Motions Many DA Yes No Keefe et al. Interactive Coordinated Multiple-View Visualization of Biomechanical Motion Data. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ivlab.cs.umn.edu/generated/pub-Keefe-2009-MultiViewVis.php
Motion Visualization Framework Timeline Overview Explicit Representation Chart A plot of different measurements over time represents the discrepency between selected data measures over different points in an animated motion. Biomechanical Motions Several DA Yes Yes Keefe et al. Interactive Coordinated Multiple-View Visualization of Biomechanical Motion Data. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ivlab.cs.umn.edu/generated/pub-Keefe-2009-MultiViewVis.php
Motion Visualization Framework Image Overlay Superposition Images Points of interest indicated in supporting graphs are physically mapped onto the raw skeletal image to be traced over different phases of the motion. Biomechanical Motions Several DA Yes No Keefe et al. Interactive Coordinated Multiple-View Visualization of Biomechanical Motion Data. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ivlab.cs.umn.edu/generated/pub-Keefe-2009-MultiViewVis.php
Motion Visualization Framework CMV for visualizations Explicit Representation/Juxtaposition Interaction and/or animation DA Yes Yes Keefe et al. Interactive Coordinated Multiple-View Visualization of Biomechanical Motion Data. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ivlab.cs.umn.edu/generated/pub-Keefe-2009-MultiViewVis.php
Multi-dimensional data cube visualization Juxtaposition/Superposition Chart A dynamic query visualizer. Large Datasets Many DA Yes No Eick. Visualizing Multi-Dimensional Data. SIGGRAPH, 2000. http://www.siggraph.org/publications/newsletter/v34n1/contributions/Eick.html
Multifield-Graphs Scalar Field Visualization Superposition/Explicit Representation Images Multifield-Graphs give an overview of the correlation of subsets of multiple fields within a data set. The result is a dimensionality reduction from complex data sets to sets of scalar fields, which can in turn be visualized using layering techniques. Scalar Fields Several DA Yes No Sauber et al. Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar Data. IEEE Transactions on Visualization and Computer Graphics, 2006. https://domino.mpi-inf.mpg.de/intranet/ag4/ag4publ.nsf/2a3e8aac13d8697cc125675300686237/3e172bca04a69760c12571b00064b001/$FILE/multifield_graph.pdf
Multi-image view Dense pixel hexagonal glyphs Explicit Representation Chart The multi-image representation displays quality measures from the data of several images as color-coded tiles. The tiles are hexagonal glyphs that are grouped together to form one visualization. 3DCT Measurements Several DA Yes Yes Malik et al. Comparative Visualization for Parameter Studies of Dataset Series IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Society, 2010, 16, 829-840. http://www.computer.org/portal/web/csdl/doi/10.1109/TVCG.2010.20
Multiple VIR Interfaces Mixed VIR chart Juxtaposition Chart Information comparison on a large scale is handled in a low VIR representation (overviews). Regions of interest can be given high VIR representations juxtaposed with the set of overviews to do detailed comparison between that particular data point and the overall set. Series Data Many DA Yes Yes Lam et al. Overview Use in Multiple Visual Information Resolution Interfaces. IEEE Transactions on Visualization and Computer Graphics, 2007.
Multi-variate, Time-varying and Comparative Visualization with Contextual Cues Volumetric visualization of relations between data sets Explicit Representation Images Displays multiple levels of biological data in a set of coordinated views. The difference between sets of interest is shown in the primary view. Time-varying, multi-variate data volumes 2 DA Yes No Woodring and Shen. Multi-variate, Time-varying and Comparative Visualization with Contextual Cues. IEEE Transactions on Visualization and Computer Graphics, 2006. http://dl.acm.org/citation.cfm?id=1187807
Network Centralities Visualization Centrality-influenced graph layout Superposition/Explicit Representation Network Three different methods are presented to compare the centralities. All these methods produce graph layouts in specific planes influenced by particular network centralities. These planes are then stacked in optimal order to see the differences. Additional edges are used in cases where a node has changed the position due to centrality values. Network Centralities Many Ilir Yes No Dwyer et al. Visual analysis of network centralities. APVis, 2006. http://dl.acm.org/citation.cfm?id=1151931
NodeTrix NodeTrix representation Superposition Network Represents clustered regions within complicated networks as adjacency matrices. These matrices are treated as a uniform node within the nodetrix view. Highly connected network data sets Many Ilir Yes No Henry et al. NodeTrix: Hybrid Representation for Analyzing Social Networks. IEEE Transactions on Visualization and Computer Graphics, 2007. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04376154
NVSS Semantic substrate layout Explicit Representation/Juxtaposition Network Plots data sets onto two disjoint planes and displays the relationship between these planes using linking schemes. The planes are selected based on the underlying semantics of the data. Related Datasets Several DA Yes No Shneiderman and Aris. Network Visualization by Semantic Substrates. IEEE Transactions on Visualization and Computer Graphics, 2006. http://www.cs.umd.edu/hcil/nvss/
OntoVis Ontology graph Superposition Network Abstracts away redundant or insignificant paths in complicated network structures to reveal significant relationships between nodes in the network. Social networks Many Ilir Yes No Shen et al. Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction. IEEE Transactions on Visualization and Computer Graphics, 2005. http://eliassi.org/papers/shen-tvcg06.pdf
Outlier-Preserving Parallel Coordinates Outlier-Preserving Parallel Coordinates Superposition Chart Provides clustering mechanisms to preserve the overall structure of a parallel coordinate plot while retaining information about outliers in the data. Multidimensional Datasets Many DA Yes No Novotny and Hauser. Outlier-Preserving Focus+Context Visualization in Parallel Coordinates. IEEE Transactions on Visualization and Computer Graphics, 2006.
Parallel Sets Parallel Sets Explicit Representation Chart Essentially a parallel coordinate view that aggregates individual data points into frequency data. Supports categorical data. Categorical Data Several DA Yes Yes Bendix et al. Parallel Sets: Visual Analysis of Categorical Data. IEEE Transactions on Visualization and Computer Graphics, 2005. http://kosara.net/papers/2005/Bendix_InfoVis_2005.pdf
Parallel Tag Clouds Parallel Tag Clouds Juxtaposition/Explicit Representation Chart Uses a combination of elements from tag clouds and parallel coordinates to provide a rich overview of document collections Text Several RW Yes No Collins et al. Parallel Tag Clouds to explore and analyze faceted text corpora. IEEE Symposium on Visual Science and Analytics, 2009. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5333443
Pathline Species Tree Explicit Representation Network Encodes the phylogenetic relationships between the expression data of sample species through a dendogram associated with a series of expression-level measures. Species Expression Data Several DA Yes No Meyer et al. Pathline: A Tool for Comparative Functional Genomics. EuroVis, 2010. http://www.cs.utah.edu/~miriah/pathline/Overview.html
Pathline CMV for visualizations Explicit Representation/Juxtaposition Interaction and/or animation Interaction with the curvemaps or pathway plots highlights relevant values in the supplementary display to promote explicit comparison between the views. Pathway and Expression Data Several DA Yes No Meyer et al. Pathline: A Tool for Comparative Functional Genomics. EuroVis, 2010. http://www.cs.utah.edu/~miriah/pathline/Overview.html
Pathline Pathway Plot Juxtaposition Chart Functional, pathway, and phylogenetic data are merged into a set of views. These views use a line plot of pathway data across the dataset, small multiples displays of function data paired with the phylogenetic trees, and overlay summary visualizations of the functional data per data sample. Biological Pathway Data Several DA Yes No Meyer et al. Pathline: A Tool for Comparative Functional Genomics. EuroVis, 2010. http://www.cs.utah.edu/~miriah/pathline/Overview.html
Pathline Curvemap Juxtaposition Chart A small multiples view juxtaposes expression measures for a series of genes and species. These measure are presented as small multiples of curves. Gene Expression Data Several DA Yes No Meyer et al. Pathline: A Tool for Comparative Functional Genomics. EuroVis, 2010. http://www.cs.utah.edu/~miriah/pathline/Overview.html
Pathline Metric Overview Superposition Chart Maps similarity scores between different gene expression experiments to a similar axis, aggregated by organism. Organisms Several DA Yes No Meyer et al. Pathline: A Tool for Comparative Functional Genomics. EuroVis, 2010. http://www.cs.utah.edu/~miriah/pathline/Overview.html
Pathline Curvemap Summaries Superposition/Juxtaposition Chart Abstracts summary data into a single plot by renormalizing datapoints and superimposing them on a single set of axes. The plots are then juxtaposed with respect to gene and species to promote comparison between them. Expression Measures over Time Several DA Yes No Meyer et al. Pathline: A Tool for Comparative Functional Genomics. EuroVis, 2010. http://www.cs.utah.edu/~miriah/pathline/Overview.html
Phenoclustering Phenoclusters Superposition Network Phenotype data sets are aggregated into clusters of similar phenotypes. These clusters serve as networks for highly similar phenotypes. Phenotypes Many DA Yes No Groth et al. Phenoclustering: Online Mining of Cross-Species Phenotypes. Bioinformatics, 2010. http://bioinformatics.oxfordjournals.org/content/26/15/1924.full
PhotoMap Hasse diagram Explicit Representation Network Uses a Hasse diagram to distinguish photos of different groups of people. Allows for efficient photo indexing by linking related people in photos and helps determine the social structure represented by the group. Photographs Many DA Yes No Crampes et al. Visualizing social photos on a Hasse diagram for eliciting relations and indexing new photos. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05290703
Phrase Nets Phrase nets Superposition Network Provides visual overviews of unstructured texts using a graph representation where the links between words are based on user-specified relations in the text. Text Relations Many DA Yes No van Ham et al. Mapping Text with Phrase Nets. IEEE Transactions on Visualization and Computer Graphics, 2009. http://www.computer.org/portal/web/csdl/doi/10.1109/TVCG.2009.165
Polaris Juxtaposition/Superposition Chart Data from relational databases is mapped to a visual field based on a series of user-defined parameters. Large Datasets Many DA Yes No Stolte and Hanrahan. Polaris: A System for Query Analysis and Visualization of Multi-Dimensional Relational Databases. IEEE Transactions on Visualization and Computer Graphics, 2000. http://www.graphics.stanford.edu/projects/polaris/
ResultMap ResultMap Juxtaposition Network Displays the results of a search query alongside a hierarchical summary visualization. The visualization changes and gives evidence of that change via color encodings as the user brushes over additional query results. Search Query Results Many DA Yes No Clarkson et al. ResultMaps: visualization for search interfaces. IEEE Transactions on Visualization and Computer Graphics, 2009. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05290712
Scatterplot Matrix Scatterplot Matrix Juxtaposition Chart Builds a scatterplot for each dimensional pairing over the data set and juxtaposes them to allow the user to select the most interesting configuration. Sets of multidimensional data Several Ilir Yes No Elmqvist, Dragicevic, and Fekete. Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation. IEEE Transactions on Visualization and Computer Graphics, 2008. https://engineering.purdue.edu/~elm/projects/scatterdice.html
Scatterplot Matrix Animated Scatterplot Juxtaposition Interaction and/or animation Animation is used to transition the user between elements of the scatterplot matrix and between dynamic query results. Sets of multidimensional data Several RW Yes No Elmqvist, Dragicevic, and Fekete. Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation. IEEE Transactions on Visualization and Computer Graphics, 2008. https://engineering.purdue.edu/~elm/projects/scatterdice.html
Scented Widgets Scented Widgets Juxtaposition Chart (Symbol?) Scented widgets are embedded visualization designed to provide information scent to common gui elements. Data represented by Widgets Several DA Yes No Willett et al. Scented Widgets: Improving Navigation Cues with Embedded Visualizations. IEEE Transactions on Visualization and Computer Graphics, 2007. http://www.computer.org/csdl/trans/tg/2007/06/v1129-abs.html
Search3 Text View Juxtaposition Diagram Displays the results from three search engines in side-by-side views. Yes No http://www.search3.com/
Seevolution Seevolution Juxtaposition Interaction and/or animation Visualizes the change to chromosomal sequences over time by animating evolutionary changes between related genomes. Genome Sequences Many DA Yes No Esteban-Marcos et al. Seevolution: visualizing chromosome evolution. Bioinformatics, 2009. http://bioinformatics.oxfordjournals.org/content/25/7/960.full
SellTrend Tree Map Juxtaposition Chart Airline travel purchase request data is visualized through a series of simple coordinated views. The primary view of interest is a tree-map of the data, which coordinates with different detail windows analyzing other aspects of the data set. Airline Request data Many DA Yes No Liu et al. SellTrend: Inter-Attribute Visual Analysis of Temporal Transaction Data. IEEE Transactions on Visualization and Computer Graphics, 2009. http://www.cc.gatech.edu/~john.stasko/papers/infovis09-selltrend.pdf
SellTrend Timeline View Juxtaposition Chart Time-based representation of airline request data shown as a bar graph with respect to times and datasets. Airline Request Data Many DA Yes No Liu et al. SellTrend: Inter-Attribute Visual Analysis of Temporal Transaction Data. IEEE Transactions on Visualization and Computer Graphics, 2009. http://www.cc.gatech.edu/~john.stasko/papers/infovis09-selltrend.pdf
SellTrend CMV Model for visualizations Explicit Representation/Juxtaposition Interaction and/or animation DA Yes No Liu et al. SellTrend: Inter-Attribute Visual Analysis of Temporal Transaction Data. IEEE Transactions on Visualization and Computer Graphics, 2009. http://www.cc.gatech.edu/~john.stasko/papers/infovis09-selltrend.pdf
Semantic Graph Visualiser (SGV) Merged graph Explicit Representation/Juxtaposition Network The tools is able to compute a merged graph by giving it two input graphs. Graphs 2 Ilir Yes Yes Andrews et al. Visual Graph Comparison. IV, 2009. http://dl.acm.org/citation.cfm?id=1588298.1589201
Sequence Surveyor Sequence Surveyor Juxtaposition Chart Features of aligned genetic sequences are laid out in colorfield rows juxtaposed in space. Explicit relational links between genes in different rows can be drawn on demand. Genome Sequences Many DA Yes Yes Albers et al. Sequence Surveyor: Scalable multiple sequence alignment overview visualization. IEEE Transactions on Visualization and Computer Graphics, 2011. http://graphics.cs.wisc.edu/Vis/SequenceSurveyor
Sequential Document Visualization Sequential document visualization Superposition Chart Categorizes n-gram data from large document corpuses using the sequential visualization of categorical time sets using a statistical model. This data is used to map the documents onto a single 2D plane. Sequential Documents Many Ilir Yes No Mao et al. Sequential Document Visualization. IEEE Transactions on Visualization and Computer Graphics, 2007. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04376142
SES Text View Explicit Representation/Juxtaposition Chart Search engine results are displayed side-by-side as well as in a difference visualization that explicity shows the intersection between different search result sets. Search results Several RW Yes Yes Suvanaphen and Roberts. Textual Difference Visualization of Multiple Search Results utilizing Detail in Context. TPCG, 2004. http://kar.kent.ac.uk/14148/1/Textual_Difference_Visualization_of.pdf
SHERLOCK Text View Juxtaposition Diagram The user can select elements in one document to see how they compare in another. Text 2 RW Yes Yes White and Joy. Sentence-based natural language plagiarism detection. Journal on Educational Resources in Computing, 2004. http://dl.acm.org/citation.cfm?id=1086341
Simultaneous Graph Drawing Algorithms Juxtaposition/Superposition Network Gives three layout algorithms for comparing pairs of networks. The first two involve the construction of each graph superimposed onto the same plane. The third involves the juxtaposition of similarly ordered networks on adjacent planes. Graphs Several DA Yes No Andrews et al. Visual Graph Comparison. IV, 2009. http://dl.acm.org/citation.cfm?id=1588298.1589201
SnoopCGH Wavelet Chart Explicit Representation Chart Provides multiple layers of CGH plots. Data is smoothed and interesting islands are automatically identified and displayed. Genomic Hybridization Data Several DA Yes No Almagro-Garcia et al. SnoopCGH: software for visualizing comparative genomic hybriziation data. Bioinformatics, 2009. http://bioinformatics.oxfordjournals.org/content/25/20/2732.full
SnoopCGH Intensity Plot Superposition Chart Visualizes array-based comparative genomic hybridization outputs. Samples are plotted to scatterplot, smoothed wavelet diagram, and annotation navigator. Genomic Hybridization Data Several DA Yes No Almagro-Garcia et al. SnoopCGH: software for visualizing comparative genomic hybriziation data. Bioinformatics, 2009. http://bioinformatics.oxfordjournals.org/content/25/20/2732.full
SnoopCGH CMV for visualization Explicit Representation/Juxtaposition Interaction and/or animation DA Yes No Almagro-Garcia et al. SnoopCGH: software for visualizing comparative genomic hybriziation data. Bioinformatics, 2009. http://bioinformatics.oxfordjournals.org/content/25/20/2732.full
SnoopCGH Annotation Track Juxtaposition Chart DA Yes No Almagro-Garcia et al. SnoopCGH: software for visualizing comparative genomic hybriziation data. Bioinformatics, 2009. http://bioinformatics.oxfordjournals.org/content/25/20/2732.full
Sockeye Sockeye Juxtaposition Chart Visualises genomic sequences in 2D and 3D - analysis is done before the visualisation step, either internally or before the data is imported Genomic sequences Several RW Yes No Montgomery et al., Sockeye: a 3D environment for comparative genomics, Genome Research 2004. http://genome.cshlp.org/content/14/5/956.full
SPARKLER Circular scatterplot Juxtaposition Chart SPARKLER plots the search results as points around a circle. Distance to the centre represents different degrees of relevance. Those results that fall on the same point and would be overplotted are spread out from the centre, Text Several RW Yes No Havre et al. Interactive visualization of multiple query results. IEEE Transactions of Visualization and Computer Graphics, 2001. http://vis.pnnl.gov/pdf/sparklerinfovis01.pdf
SPF Tree Visualizations SPF Quasi Tree Superposition Network Provides a high-level view of quasi-tree data by abstracting away connected components. Turns complicated graph visualizations into tree-structures Tree-Like Datasets Many DA Yes No Archebault et al. Smashing peacocks further: drawing quasi-trees from biconnected components. IEEE Transactions on Visualization and Computer Graphics, 2006. http://www.cs.ubc.ca/nest/imager/tr/2006/Archambault_SPF_InfoVis2006/ArchambaultMunznerAuberQuasiTree.pdf
Spotfire Juxtaposition/Superposition Chart A dynamic query visualizer. Large Datasets Many DA Yes No Ahlberg. Spotfire: An Information Exploration Environment. SIGMOD, 1996. http://dl.acm.org/citation.cfm?id=245893
SPPC Scattered Parallel Coordinates Superposition Chart Intertwines parallel coordinate plots and scatter plots by integrating scatterplots in complicated regions of the parallel coordinate plots. Curves of the parallel coordinate data lines are interpolated through the scattered points to provide continuity in the view. Multi-Dimensional Datasets Many DA Yes No Yuan et al. Scattering Points in Parallel Coordinates. IEEE Transactions on Visualization and Computer Graphics, 2009. http://vis.pku.edu.cn/research/publication/infovis09/tvcg09_sppc.pdf
The Information Mural Information Mural Explicit Representation/Juxtaposition Chart Uses dimensionality reduction techniques to plot large data sets on a 2D diagram. The data set is then displayed in a single overview for the purpose of navigating through the dataset. Large text/code repositories Many DA Yes Yes Jerding and Stasko. The Information Mural: A Technique for Displaying and Navigating Large Information Spaces. Vis, 1995. http://www.cc.gatech.edu/gvu/ii/softvis/infoviz/information_mural.html
Topographic Maps for BGPlay Topographic representation on top of a network Superposition/Explicit Representation Map Maps ISP data based on ISP prefixes using a topographical map technique, centering important data in major regions of the map. The boundaries of these regions are laid on top of the BGPlay graphs to define importance boundaries within the data. Network ISPs Several DA Yes yes Cortese et al. Topographic visualization of prefix propagation in the internet. IEEE Transactions on Visualization and Computer Graphics, 2006. http://ricerca.uniroma3.it/Pdf/articolo_689da080-54ce-4ddd-87e3-e2fa699130d8.pdf
Tree Set Visualization Consensus Tree Explicit Representation Network Displays the computed consensus between a series of phylogenetic trees and displays this consensus information as a single tree.This implementation focuses on consensus between pairs of trees and leaves scale as a recursive application of the pairwise algorithm. Phylogenetic Trees 2 DA Yes Yes Amenta and Klingner. Case Study: Visualizing Sets of Evolutionary Trees. IEEE Transactions on Visualization and Computer Graphics, 2002. http://dl.acm.org/citation.cfm?id=857731
Tree Set Visualization Tree Set Scatter Plot Superposition Chart Trees are abstracted into data points in a point-set visualization. This visualization reveals the distribution of the trees and allows a drill down into a consensus tree (union) or views of individual trees. Phylogenetic Trees Many DA Yes Yes Amenta and Klingner. Case Study: Visualizing Sets of Evolutionary Trees. IEEE Transactions on Visualization and Computer Graphics, 2002. http://dl.acm.org/citation.cfm?id=857731
TreeDyn Annotation Heat Map Juxtaposition Images Annotation data for a series of organisms is laid out in a tree structure and the resulting annotations are displayed on demand in a series of rows organised by phylogeny. Organisms Many DA Yes No Chevenet et al. TreeDyn: Towards Dunamic Graphics and Annotations for Analyses of Trees.BMC Bioinformatics, 2006. http://www.biomedcentral.com/1471-2105/7/439
TreeDyn Consensus Tree Explicit Representation Network Multiple annotated phylogenetic trees are displayed in a linear juxtaposition of annotation data. Phylogenetic Trees Several DA Yes No Chevenet et al. TreeDyn: Towards Dunamic Graphics and Annotations for Analyses of Trees.BMC Bioinformatics, 2006. http://www.biomedcentral.com/1471-2105/7/439
TreeDyn Reflection Small Multiples Map Explicit Representation/Juxtaposition Chart A series of trees are laid out in a small multiples array. Correspondences between trees are highlighted using coloring. Phylogenetic Trees Several DA Yes No Chevenet et al. TreeDyn: Towards Dunamic Graphics and Annotations for Analyses of Trees.BMC Bioinformatics, 2006. http://www.biomedcentral.com/1471-2105/7/439
Trendalyzer Animated trend visualizer plot Juxtaposition Interaction and/or animation Explores the effectiveness of animated transitions for conveying information. Trendalyzer provides animation transitions through the data series, while the variants use superposition of trendlines and small multiples displays respectively. Time series Several RW Yes No Robertson et al. Effectiveness of Animation in Trend Visualization. IEEE Transactions on Visualization and Computer Graphics, 2008. http://innovis.cpsc.ucalgary.ca/innovis/uploads/Courses/InformationVisualizationDetails2009/Robertson.pdf
Trendalyzer Simultaneous Trend Visualizer Superposition Chart Shows traces over time on a single plot for data from multiple countries Countries Several RW Yes No Robertson et al. Effectiveness of Animation in Trend Visualization. IEEE Transactions on Visualization and Computer Graphics, 2008. http://innovis.cpsc.ucalgary.ca/innovis/uploads/Courses/InformationVisualizationDetails2009/Robertson.pdf
Trendalyzer and two static variants Small Multiples Trend Visualizer Juxtaposition Chart Shows trace lines for each time series in a small multiples matrix Time series Several RW Yes No Robertson et al. Effectiveness of Animation in Trend Visualization. IEEE Transactions on Visualization and Computer Graphics, 2008. http://innovis.cpsc.ucalgary.ca/innovis/uploads/Courses/InformationVisualizationDetails2009/Robertson.pdf
Tukey scagnostics Scagnostic SPLOM Explicit Representation/Juxtaposition Chart Provides a method for abstracting data from different entries in a scatterplot matrix to simplify the matrix and make interesting trends in the different plots stand out. Scatterplot Datasets Several DA Yes No Wilkinson et al. Graph-Theoretic Scagnostics. IEEE Transactions on Visualization and Computer Graphics, 2005. http://dl.acm.org/citation.cfm?id=1106587
Turnitin Text View Juxtaposition Chart Reveals similarity between documents submitted or stored in a repository or on the Internet. It helps deter students from copying work from the web or retrieving texts from homework repositories. Text Several RW Yes Yes W. Sutherland-Smith and R. Carr. Turnitin. com: Teachers’ perspectives of antiplagiarism software in raising issues of educational integrity. Journal of University Teaching and Learning Practice, 2(3):94– 101, 2005. http://turnitin.com/
UrbanVis Data view Superposition Chart Displays large collections of urban data using multiple views. The parallel coordinates view uses superposition to express different attributed of different urban regions. Neighborhood Demographic Data Many DA Yes No Chang et al. Legible cities: focus-dependent multi-resolution visualization of urban relationships. IEEE Transactions on Visualization and Computer Graphics, 2007. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04376137
Vdiff Text View Explicit Representation/Juxtaposition Network Displays two source code text side by side. Code insertion and delections are highlighted between views by colourcoded text, and by lines that explicitly match code sections. Text 2 RW Yes Yes Barnes et al. Developing and adapting UNIX tools for workstations. EUUG, 1988.
VisDB Query image Superposition Images A dynamic query visualizer. Visualization is handled by superposition of the query results onto a uniform plane. Multidimensional Datasets Many DA Yes No Keim and Kriegel. VisDB: Database Exploration using Multidimensional Visualization. IEEE Computer Graphics and Applications, 1994. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.7447
VisGets Timeline illustration of results Juxtaposition Chart Uses coordinate visualizations based on three different filters to supplement search queries in a web environment. The timeline organizes the items temporally in a histogram based on publication date. Search Results Many DA Yes No Dork et al. VisGets: coordinated visualizations for web-based information exploration and discovery. IEEE Transactions on Visualization and Computer Graphics, 2008. http://www.computer.org/csdl/trans/tg/2008/06/ttg2008061205-abs.html
VisGets Tag cloud illustration of results Juxtaposition Images A tag cloud presents the series of key words resulting from a web query. Word size represents relative frequencies. Search Results Many DA Yes No Dork et al. VisGets: coordinated visualizations for web-based information exploration and discovery. IEEE Transactions on Visualization and Computer Graphics, 2008. http://www.computer.org/csdl/trans/tg/2008/06/ttg2008061205-abs.html
VisGets Location illustration of results Superposition Map Results of a web search are mapped geographically by regions that they reference. These points are mapped to a standard map and glyph size represents the reference density. Web Query Results Many DA Yes No Dork et al. VisGets: coordinated visualizations for web-based information exploration and discovery. IEEE Transactions on Visualization and Computer Graphics, 2008. http://www.computer.org/csdl/trans/tg/2008/06/ttg2008061205-abs.html
VisGets CMV Model of visualizations Explicit Representation/Juxtaposition Interaction and/or animation DA Yes No Dork et al. VisGets: coordinated visualizations for web-based information exploration and discovery. IEEE Transactions on Visualization and Computer Graphics, 2008. http://www.computer.org/csdl/trans/tg/2008/06/ttg2008061205-abs.html
VisLink Comparison between visualizations Explicit Representation/Juxtaposition Network Compares different visualizations. Each visualization is placed in its own plane and relationships between them are represented using colored links. The planes can be superimposed or juxtaposed in one of five independent arrangements. Visualizations Several DA Yes No Collins and Carpendale. VisLink: revealing relationships amongst visualizations. IEEE Transactions on Visualization and Computer Graphics, 2007. http://faculty.uoit.ca/collins/research/VisLink/index.html
VisTrails VisTrails Trees Explicit Representation Network VisTrails manages the data and metadata of visualization processes. Users can define the dataflow process using a manual network constructor and visualizes these data flows on a base data set. Progressions in a Visualization Several DA Yes No Callahan et al. VisTrails: Visualization meets Data Management. SIGMOD, 2006. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.9725
VisuLab CMV between component graphics Explicit Representation/Juxtaposition Interaction and/or animation Interconnects different graphical displays over the same data set. Applicable to many data sets, but shown with a geographical example: Swiss honey bees. Sets of multidimensional data Several RW Yes No Schmid and Hinterberger. Comparative Multivariate Visualization Across Conceptually Different Graphic Displays. SSDBM, 1994. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.6584
WebForager Web Pages Juxtaposition Chart Combines sets of pages into WebBooks which can be viewed with the Document Lens Web pages Several RW Yes Yes Card et al. The WebBook and the Web Forager: an information workspace for the World-Wide Web. CHI, 1996. http://delivery.acm.org/10.1145/240000/238446/p111-card.pdf?ip=128.105.29.12&acc=ACTIVE%20SERVICE&CFID=103733653&CFTOKEN=63019619&__acm__=1337295364_61676781002d00a2c8074b5b34663cf6
WinDiff Text View Juxtaposition/Superposition Network Displays two document texts in one view. Changes are displayed by highlighting the text by red and yellow colors. The thumbnail view on the left gives an overview of the whole document with left and right document. The right view shows differences of the left document as yellow, and differences from the right document as red. Text 2 RW Yes No WinDiff Tool, Microsoft SDK tools, February 2004. http://msdn.microsoft.com/en-us/library/aa242739%28v=VS.60%29.aspx
WinMerge, FileMerge, Text View Juxtaposition Network Displays two source code text side by side. Code insertion and delections are highlighted between views by colourcoded text, and by lines that explicitly match code sections. Yes No WinMerge. http://winmerge.org/. Version 2.12.2. Visited October 2010 FileMerge.http://developer.apple.com/tools/. Visited October 2010 Others include: AraxisMerge, http://www.araxis.com/merge/index.html Kompare WinMerge Beyond Compare
Wordle Wordle Juxtaposition Chart Tag-cloud like displays show the relative frequencies of words within a corpus. Word Frequencies Many DA Yes No Viegas et al. Participatory visualization with Wordle. IEEE Transactions on Visualization and Computer Graphics, 2009. http://dl.acm.org/citation.cfm?id=1639217
WorldMapper Worldmapper Juxtaposition Map Uses distortion effects to represent nation data laid out in a cartographic arrangement. The size of the nation corresponds to the value of the country. Countries Several RW Yes No Dorling et al. WORLDMAPPER: the world as you've never seen it before. IEEE Transactions on Visualization and Computer Graphics, 2006. http://www.worldmapper.org/
XmdvTool Hierarchical Parallel Coordinates Superposition/Explicit Representation Chart Uses blending to aggregate parallel coordinate clusters into hierarchical bundles. Multivariate data Several RW Yes No Fua et al. Hierarchical Parallel Coordinates for Exploration of Large Datasets. Vis, 1999. http://dl.acm.org/citation.cfm?id=319355
X-ray lens 3d scatterplot Superposition Chart A three-dimensional scatterplot of a document corpus is shown in one example. Here the user can move the X-ray lens to display different information in the lens. Text Many RW Yes Yes Shaw et al. Interactive lens visualization techniques. VIS '99: Proceedings of the conference on Visualization '99. https://engineering.purdue.edu/~ebertd/papers/Vis99xray.pdf


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