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Taxonomies Frédéric Vernier Enseignant-Chercheur LIMSI-CNRS Maître de conf Paris XI Cours de Visualisation d'Information InfoVis Lecture.

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Presentation on theme: "Taxonomies Frédéric Vernier Enseignant-Chercheur LIMSI-CNRS Maître de conf Paris XI Cours de Visualisation d'Information InfoVis Lecture."— Presentation transcript:

1 Taxonomies Frédéric Vernier Enseignant-Chercheur LIMSI-CNRS Maître de conf Paris XI Cours de Visualisation d'Information InfoVis Lecture

2 2 Outline Introduction to Infovis Taxonomies Multi-variate data Cognitive tasks Visual Properties Interaction Overview+detail Focus +context Panning & zooming Trees

3 3 Composition de vues Composition TemporelleAnachroniqueSéquentielleConcomitanteCoïncidente Parallèle / Simultanée SpatialeDisjointeAdjacenteIntersectéeImbriquéeRecouvrance ArticulatoireIndépendanceFissionnée Fissionnée + Dupliquée Partiellement Dupliquée Dupliquée SyntaxiqueDifférenteComplétionDivergenceExtensionJumelage SémantiqueConcurrente Complé- mentaire Complémentaire + Redondante Partiellement Redondante Totalement Redondante Aspect Schema

4 4 Visualization Process Data Point of view on data Space Point of view on Space Data world Spatial world Interaction Language

5 5 Data Graphical (road network) Non Graphical (stock exchange) Point of view on data Spatial / Graphical (stocks Values organized by country/state) Non Structured Non Graphical (stocks by sector) Graphical Abstraction 1D, 2D, 3D, nD, Time, Trees, Graphs, Nominal, Ordered, Quantitative (N, O, Q) Data Point of view on data Space Point of view on space

6 6 Space Point of view on space (view) Visual cues: lexicon color, size, label, shape,... Layout algo: syntactic Treemaps, City metaphor, Charts, etc. Interactive technique: Focus + Contexte Scrolling / Panning Zoom In & Out Fisheye View 2D 3D DeformedNon-Deformed Point of view on data Data Point of view on data Space Point of view on space

7 7 Graphical Abstraction and Deformation Graphical Abstraction => 2D space with non label overlapping algo. Alphabetical 1D list => Lines of text with line break rules

8 8 Example Mqzedfn qzsdemoc jvi sdf dfovindfmvioj sdfiovj svifj mvfv inmidfjv difvndifvn mdiov dfvn ifnv dmifvnff diovfn divnf dmivfn sdf df dsfdoivfn do nvdiovfn do ivnfon ivfdno ivfdoifvnsdf 1 2 3 4 5 6 7 8 9 10 Mqzedfn qzsdemoc jvi sdf dfovindfmvioj sdfiovj svifj mvfv inmidfjv difvndifvn mdiov dfvn ifnv dmifvnff diovfn divnf dmivfn sdf df dsfdoivfn do nvdiovfn do ivnfon ivfdno ivfdoifvnsdf 1 2 6 7 Ordered list of documents Set of documents 2D Space, row of 5 docs. Partial view on space + 1 scrollbar Data Point of view on data Space Point of view on space Examples of deformations :

9 9 Multiple View Data 1 Data 2 NYSE + NASDAQ Web bookmark: history(time) or graph Chart or histogram on 2D points MS word views Radar views Data Point of view on data Data Point of view on data Space

10 10 Every dimension is treated separately. We distinguish homogenous and heterogeneous point of view nD Set of students marks Todo list ordered by priority Shopping List1DNon- structured Lattices (treillis) Multitrees Social network Relationnal Genealogical tree with children ordering Class inheritance tree Hierarchical Log/Event Journal CalendarTemporal 3D CAD tool Archeological 3D grid 3D Vector based drawing tool Naval battle grid 2D Milestones on highway Exits along the highway 1DSpatial Text QuantitativeOrdinalNominal GranularityPoint of view Problem: Trees with length (speciestree) Hypertext Book

11 11 Ordinal / Quantitative

12 12 Graphical Properties Inclusions Links Sizes Shapes Colors Textures Labels Orientations Rule of three examples ! Do not forget x,y et z ! Train BateauVoiture

13 13 Visualisations areas GlobalLocal Vague Precise Focus (Neighborhood) Context Deformed Non-deformed Precision Scope Deformation

14 14 Ex: 1rst Focus+Context from Spence & Apperley Focus Local modality but precise Context Global modality But vague

15 15 Drag Mag (Colin Ware) Context: Global modality but vague. The map covers the full area Foci: Local modalities but precise. The details of the ground appear

16 16 Deformation Alignment Preservation Continuity Perspective Effect Continuity of the deformation function and the derive function Yes No Yes Only one dimension Continuity of the deformation function Discontinuity of the deformation function


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