Z: Why vis?

Author: Streeb, Dirk

Website https://www.vis.uni-konstanz.de/mitglieder/streeb/
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Last updated 6 months, 3 weeks ago (Oct. 15, 2020) by Streeb, Dirk

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Coded publications (109)

S. M. Kosslyn [1989]: Understanding Charts and Graphs doi:10.1002/acp.2350030302 July 9, 2020 July 14, 2020 16 0 0 Up to p. 207
M. Chen et al. [2011]: From Data Analysis and Visualization to Causality Discovery doi:10.1109/MC.2011.313 March 20, 2018 June 6, 2018 3 0 2
D. J. Muscatello et al. [2006]: Communicating population health statistics through graphs: a randomised controlled trial of graph design interventions doi:10.1186/1741-7015-4-33 March 20, 2018 June 6, 2018 4 0 3
J. S. Yi et al. [2007]: Toward a Deeper Understanding of the Role of Interaction in Information Visualization doi:10.1109/TVCG.2007.70515 March 20, 2018 June 6, 2018 3 3 5
J. T. Stasko [2014]: Value-Driven Evaluation of Visualizations doi:10.1145/2669557.2669579 March 19, 2018 June 6, 2018 14 0 3
L. J. Trevena et al. [2013]: Presenting Quantitative Information about Decision Outcomes: A Risk Communication Primer for Patient Decision Aid Developers doi:10.1186/1472-6947-13-S2-S7 March 19, 2018 June 6, 2018 18 0 2
W. Aigner [2011]: Understanding the Role and Value of Interaction: First Steps isbn:978-3-905673-82-1 March 18, 2018 June 6, 2018 4 2 8
W. S. Cleveland and R. McGill [1985]: Graphical Perception and Graphical Methods for Analyzing Scientific Data doi:10.1126/science.229.4716.828 March 18, 2018 June 6, 2018 5 0 2
C. Ziemkiewicz and R. Kosara [2010]: Beyond Bertin: Seeing the Forest despite the Trees doi:doi.ieeecomputersociety.org/10.1109/MCG.2010.83 March 18, 2018 June 6, 2018 6 0 2
D. Kirsh [2010]: Thinking with External Representations doi:10.1007/s00146-010-0272-8 March 12, 2018 June 6, 2018 22 1 2
H. C. Purchase et al. [2008]: Theoretical Foundations of Information Visualization doi:10.1007/978-3-540-70956-5_3 March 12, 2018 June 6, 2018 9 0 3
A. Endert et al. [2014]: The Human is the Loop: New Directions for Visual Analytics doi:10.1007/s10844-014-0304-9 March 12, 2018 June 6, 2018 4 0 2
P. Parsons et al. [2015]: Interactivity in Visual Analytics: Use of Conceptual Frameworks to Support Human-Centered Design of a Decision-Support Tool doi:10.1109/HICSS.2015.138 March 12, 2018 June 6, 2018 2 0 3
H. Wainer [1990]: Graphical Visions from William Playfair to John Tukey doi:10.2307/2245821 March 12, 2018 June 6, 2018 9 0 3
D. A. Keim et al. [2010]: Mastering the Information Age Solving Problems with Visual Analytics isbn:978-3-905673-77-7 March 10, 2018 June 6, 2018 17 2 3 ch. 1, 2 & 7
H. Wickham et al. [2010]: Graphical Inference for Infovis doi:10.1109/TVCG.2010.161 March 10, 2018 June 6, 2018 1 0 1 "Infovis provides tools to uncover new relationships, tools of curiosity, and much research in infovis focuses on making the chance of finding relationships as high as possible. On the other hand, most statistical methods provide tools to check whether a relationship really exists: they are tools of skepticism. Most statistics research focuses on making sure to minimize the chance of finding a relationship that does not exist. Neither extreme is good: unfettered curiosity results in findings that disappear when others attempt to verify them, while rampant skepticism prevents anything new from being discovered." [p. 973] which is clearly a trade-off Overall a technique paper.
R. Arias-Hernández, T. M. Green and B. D. Fisher [2012]: From Cognitive Amplifiers to Cognitive Prostheses: Understandings of the Material Basis of Cognition in Visual Analytics doi:10.1179/0308018812Z.0000000001 March 10, 2018 June 6, 2018 4 1 5 Also recalls arguments of (Card1999), (Thomas2005) and several others. I did not code their arguments as I am not sure whether they are only enumerated to illustrate the views of these authors or actually shared by the authors of this paper.
S. D. Lathrop, S. Wintermute and J. E. Laird [2011]: Exploring the Functional Advantages of Spatial and Visual Cognition From an Architectural Perspective doi:10.1111/j.1756-8765.2010.01130.x March 10, 2018 June 6, 2018 6 0 1 Cognitive architecture model
P. Parsons and K. Sedig [2014]: Adjustable Properties of Visual Representations: Improving the Quality of Human-Information Interaction doi:10.1002/asi.23002 March 8, 2018 June 6, 2018 10 3 7
A. Gelman [2011]: Why Tables Are Really Much Better Than Graphs doi:10.1198/jcgs.2011.09166 March 8, 2018 June 6, 2018 0 0 2 Focused on (im)proper application
J. Gabry et al. [2018]: Visualization in Bayesian Workflow March 8, 2018 June 6, 2018 2 0 0 Application focused
J. J. Thomas [2005]: Illuminating the Path: The Research and Development Agenda for Visual Analytics isbn:0-7695-2323-4 March 8, 2018 June 6, 2018 13 0 3 Executive summary (parts on ch.3–5, pp. 7–13); Grand challenges (parts on ch. 3–5, pp. 30–31); ch. 3, pp. 69–99
M. Chen and A. Golan [2016]: What May Visualization Processes Optimize? doi:10.1109/TVCG.2015.2513410 March 4, 2018 June 6, 2018 10 0 4 Generally more abstract
S. M. Kosslyn [2006]: Graph Design for the Eye and Mind isbn:978-0-19-531184-6 March 3, 2018 June 6, 2018 12 0 0 ch. 1
M. O. Ward, G. G. Grinstein and D. A. Keim [2015[2010]]: Interactive Data Visualization: Foundations, Techniques, and Applications isbn:978-1-4822-5737-3 March 3, 2018 June 6, 2018 6 0 1 sec. 1.1.2
M. Hegarty [2011]: The Cognitive Science of Visual-Spatial Displays: Implications for Design doi:10.1111/j.1756-8765.2011.01150.x March 2, 2018 June 6, 2018 28 4 7
H. Wainer [1984]: How to Display Data Badly doi:10.1080/00031305.1984.10483186 March 2, 2018 June 6, 2018 6 0 2
Z. Liu, N. J. Nersessian and J. T. Stasko [2008]: Distributed Cognition as a Theoretical Framework for Information Visualization doi:10.1109/TVCG.2008.121 March 2, 2018 June 6, 2018 9 0 5 Largely more abstract
K. Binder, S. Krauss and G. Bruckmaier [2015]: Effects of Visualizing Statistical Information – an Empirical Study on Tree Diagrams and 2×2 Tables doi:10.3389/fpsyg.2015.01186 March 2, 2018 June 6, 2018 4 0 2
W. Gaissmaier et al. [2012]: Numbers Can Be Worth a Thousand Pictures: Individual Differences in Understanding Graphical and Numerical Representations of Health-Related Information doi:10.1037/a0024850 March 1, 2018 June 6, 2018 1 0 3 Somehow missed iconicity in the spreadsheet.
R. E. Patterson [2012]: Cognitive Engineering, Cognitive Augmentation, and Information Display doi:10.1889/JSID20.4.208 Feb. 28, 2018 June 6, 2018 10 2 3 Quite detailed on memory. May need another coding by a cognitive scientist.
A. Gelman and A. Unwin [2013]: Infovis and Statistical Graphics: Different Goals, Different Looks doi:10.1080/10618600.2012.761137 Feb. 27, 2018 June 6, 2018 21 2 4
A. Gelman and A. Unwin [2013]: Tradeoffs in Information Graphics doi:10.1080/10618600.2012.761141 Feb. 27, 2018 June 6, 2018 2 0 1 Comment on (Gelman2013)
C. Ziemkiewicz et al. [2010]: Visualization Theory: Putting the Pieces Together Feb. 26, 2018 June 6, 2018 0 0 1 Panel description
Ç. Demiralp et al. [2014]: Visual Embedding: A Model for Visualization doi:10.1109/MCG.2014.18 Feb. 26, 2018 June 6, 2018 0 0 3 Higher level of abstraction
P. Vickers, J. Faith and N. Rossiter [2013]: Understanding Visualization: A Formal Approach Using Category Theory and Semiotics doi:10.1109/TVCG.2012.294 Feb. 26, 2018 June 6, 2018 3 0 3 Higher level of abstraction
J. Fekete et al. [2008]: The Value of Information Visualization doi:10.1007/978-3-540-70956-5_1 Feb. 26, 2018 June 6, 2018 12 0 3
D. Sacha et al. [2016]: Human-Centered Machine Learning Through Interactive Visualization: Review and Open Challenges Feb. 26, 2018 June 6, 2018 0 0 3 Higher level of abstraction
J. J. van Wijk [2005]: The Value of Visualization doi:10.1109/VISUAL.2005.1532781 Feb. 25, 2018 June 6, 2018 6 0 4 Generally higher level of abstraction
K. Cook et al. [2015]: Mixed-Initiative Visual Analytics Using Task-Driven Recommendations doi:10.1109/VAST.2015.7347625 Feb. 25, 2018 June 6, 2018 9 0 3
Y. Li, D. Li and K. Zhang [2015]: Metaphoric Transfer Effect in Information Visualization Using Glyphs doi:10.1145/2801040.2801062 Feb. 24, 2018 June 6, 2018 5 5 2
D. Sacha et al. [2014]: Knowledge Generation Model for Visual Analytics doi:10.1109/TVCG.2014.2346481 Feb. 24, 2018 June 6, 2018 0 0 2 Higher level of abstraction
E. D. Ragan et al. [2016]: Characterizing Provenance in Visualization and Data Analysis: An Organizational Framework of Provenance Types and Purposes doi:10.1109/TVCG.2015.2467551 Feb. 23, 2018 June 6, 2018 2 3 4
A. V. Moere and H. C. Purchase [2011]: On the role of design in information visualization doi:10.1177/1473871611415996 Feb. 21, 2018 June 6, 2018 6 1 3
R. Goebel [2014]: A Sketch of a Theory of Visualization doi:10.5220/0004852702180221 Feb. 21, 2018 June 6, 2018 3 0 2
J. Boy et al. [2017]: Showing People Behind Data: Does Anthropomorphizing Visualizations Elicit More Empathy for Human Rights Data? doi:10.1145/3025453.3025512 Feb. 15, 2018 June 6, 2018 0 1 3
S. K. Card, J. D. Mackinlay and B. Shneiderman [1999]: Readings in Information Visualization – Using Vision to Think isbn:978-1-55860-533-6 Feb. 6, 2018 June 6, 2018 19 4 4 ch. 1 up to p. 17 sec. Mapping data to visual form
M. J. Eppler [2013]: What is an Effective Knowledge Visualization? Insights from a Review of Seminal Concepts doi:10.1007/978-1-4471-4303-1_1 Feb. 6, 2018 June 6, 2018 11 2 3
E. R. Tufte [1997]: Visual Explanations: Images and Quantities, Evidence and Narrative isbn:978-0-9613921-2-3 Feb. 6, 2018 June 6, 2018 4 0 4 ch. 1-2
E. R. Tufte [2001[1983]]: The Visual Display of Quantitative Information isbn:978-0-9613921-4-7 Feb. 5, 2018 June 6, 2018 18 5 6 ch. 1, 4, 6-9
R. Spence [2007[2001]]: Information visualization: Design for interaction isbn:978-0-12-206550-4 Feb. 5, 2018 June 6, 2018 10 1 3 Ch. 1
A. C. Telea [2008]: Data visualization - principles and practice isbn:978-1-56881-306-6 Feb. 5, 2018 June 6, 2018 9 2 4 Sec. 1.1
L. Wilkinson [1999]: The Grammar of Graphics isbn:0-387-98774-6 Feb. 1, 2018 June 6, 2018 0 0 0 "This book focuses instead on rules for constructing graphs mathematically and then representing them as graphics aesthetically." (ibid. p. 1) Hence, it presents how data can be transformed into faithful visual representations, but not why one should do this. Chapter 7 might be interesting, however.
S. M. Kosslyn [1994]: Elements of Graph Design isbn:0-7167-2263-1 Feb. 1, 2018 June 6, 2018 8 2 0 ch. 1 The rest of the book appears to be application focused and driven by guidelines based on the theoretical consideration presented in the first chapter.
M. Giaquinto [2007]: Visual Thinking in Mathematics isbn:978-0-19-928594-5 Feb. 1, 2018 June 6, 2018 4 2 0 ch. 2
M. Sirota, L. Kostovičová and M. Juanchich [2014]: The Effect of Iconicity of Visual Displays on Statistical Reasoning: Evidence in Favor of the Null Hypothesis doi:10.3758/s13423-013-0555-4 Jan. 31, 2018 June 6, 2018 3 1 0 First coding completely done in system. Was a bit distracted by fixing some bugs.
Z. Liu and J. T. Stasko [2010]: Mental Models, Visual Reasoning and Interaction in Information Visualization: A Top-down Perspective doi:10.1109/TVCG.2010.177 Jan. 26, 2018 June 6, 2018 5 0 2 From spreadsheet
S. K. Card, J. D. Mackinlay and B. Shneiderman [1999]: Readings in Information Visualization – Using Vision to Think isbn:978-1-55860-533-6 Jan. 26, 2018 June 6, 2018 6 0 1 From spreadsheet
J. Walny et al. [2011]: Visual Thinking in Action: Visualizations as Used on Whiteboards doi:10.1109/TVCG.2011.251 Jan. 26, 2018 June 6, 2018 10 0 1 From spreadsheet
J. H. Larkin and H. A. Simon [1987]: Why a Diagram is (Sometimes) Worth Ten Thousand Words doi:10.1111/j.1551-6708.1987.tb00863.x Jan. 26, 2018 June 6, 2018 11 0 1 From spreadsheet
A. Abrahamsen and W. Bechtel [2015]: Diagrams as Tools for Scientific Reasoning doi:10.1007/s13164-014-0215-2 Jan. 26, 2018 June 6, 2018 9 0 4 From spreadsheet
M. Chen, L. Floridi and R. Borgo [2014]: What is Visualization Really for? doi:10.1007/978-3-319-07121-3_5 Jan. 26, 2018 June 6, 2018 8 0 1 From spreadsheet
P. C. Cheng [2016]: What Constitutes an Effective Representation? doi:10.1007/978-3-319-42333-3_2 Jan. 26, 2018 June 6, 2018 14 0 1 From spreadsheet
M. Scaife and Y. Rogers [1996]: External Cognition: How do Graphical Representations Work? doi:10.1006/ijhc.1996.0048 Jan. 26, 2018 June 6, 2018 4 0 1 From spreadsheet
G. Stapleton, M. Jamnik and A. Shimojima [2017]: What Makes an Effective Representation of Information: A Formal Account of Observational Advantages doi:10.1007/s10849-017-9250-6 Jan. 26, 2018 June 6, 2018 4 0 1 From spreadsheet
C. Ziemkiewicz and R. Kosara [2008]: The Shaping of Information by Visual Metaphors doi:10.1109/TVCG.2008.171 Jan. 26, 2018 June 6, 2018 3 0 2 From spreadsheet
T. Munzner [2014]: Visualization Analysis & Design isbn:978-1-4665-0891-0 Jan. 26, 2018 June 6, 2018 15 0 5 From spreadsheet
J. Norman [2000]: Differentiating Diagrams: A New Approach isbn:978-3-540-67915-8 Jan. 26, 2018 June 6, 2018 3 0 0 From spreadsheet
K. Fathulla [2013]: Symbolic, Spatial, Mapping (SySpM): A Framework for Interpreting Maps doi:10.1179/174327708X347809 Jan. 26, 2018 June 6, 2018 6 0 1 From spreadsheet
L. Byrne, D. Angus and J. Wiles [2016]: Acquired Codes of Meaning in Data Visualization and Infographics: Beyond Perceptual Primitives doi:10.1109/TVCG.2015.2467321 Jan. 25, 2018 June 6, 2018 8 0 2 From spreadsheet
K. Hornbæk and M. Hertzum [2011]: The notion of overview in information visualization doi:10.1016/j.ijhcs.2011.02.007 Jan. 25, 2018 June 6, 2018 5 0 0 From spreadsheet
M. Correll and M. Gleicher [2014]: Bad for Data, Good for the Brain : Knowledge-First Axioms For Visualization Design Jan. 25, 2018 June 6, 2018 6 0 0 From spreadsheet
E. Dimara, A. Bezerianos and P. Dragicevic [2017]: The Attraction Effect in Information Visualization doi:10.1109/TVCG.2016.2598594 Jan. 25, 2018 June 6, 2018 10 0 1 From spreadsheet
T. Verbeiren, R. Sakai and J. Aerts [2014]: A Pragmatic Approach to Biases in Visual Data Analysis Jan. 25, 2018 June 6, 2018 2 0 0 From spreadsheet
S. Tremblay et al. [2017]: A cognitive prosthesis for complex decision-making doi:10.1016/j.apergo.2016.07.009 Jan. 25, 2018 June 6, 2018 12 0 4 From spreadsheet
J. Walny, S. Huron and S. Carpendale [2015]: An Exploratory Study of Data Sketching for Visual Representation doi:10.1111/cgf.12635 Jan. 25, 2018 June 6, 2018 3 0 2 From spreadsheet
G. L. Kindlmann and C. E. Scheidegger [2014]: An Algebraic Process for Visualization Design doi:10.1109/TVCG.2014.2346325 Jan. 25, 2018 June 6, 2018 5 0 1 From spreadsheet, earlier coding
B. Tversky [2011]: Visualizing Thought doi:10.1111/j.1756-8765.2010.01113.x Jan. 25, 2018 June 6, 2018 36 0 6 From spreadsheet
K. Fathulla [2011]: Rethinking our understanding of diagrams doi:10.1515/semi.2011.025 Jan. 25, 2018 June 6, 2018 5 0 0 From spreadsheet
W. S. Cleveland and R. McGill [1984]: Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods doi:10.2307/2288400 Jan. 25, 2018 June 6, 2018 5 0 2 From spreadsheet
W. Dou et al. [2012]: Toward a Deeper Understanding of the Relationship between Interaction Constraints and Visual Isomorphs doi:10.1177/1473871611433712 Jan. 25, 2018 June 6, 2018 13 0 2 From spreadsheet, earlier coding
P. Hanrahan [2009]: Systems of Thought Jan. 25, 2018 June 6, 2018 9 0 3 From spreadsheet
A. Dasgupta et al. [2017]: Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists’ Visual Analytic Judgments doi:10.1145/3025453.3025882 Jan. 25, 2018 June 6, 2018 9 0 1 From spreadsheet
W. Gaissmaier et al. [2012]: Numbers Can Be Worth a Thousand Pictures: Individual Differences in Understanding Graphical and Numerical Representations of Health-Related Information doi:10.1037/a0024850 Jan. 25, 2018 June 6, 2018 7 0 1 From spreadsheet
N. Kijmongkolchai, A. Abdul-Rahman and M. Chen [2017]: Empirically Measuring Soft Knowledge in Visualization doi:10.1111/cgf.13169 Jan. 25, 2018 June 6, 2018 9 0 1 From spreadsheet
X. Chen et al. [2017]: A Cognitive Model of How People Make Decisions Through Interaction with Visual Displays doi:10.1145/3025453.3025596 Jan. 25, 2018 June 6, 2018 10 0 0 From spreadsheet
M. T. McCrudden and D. N. Rapp [2015]: How Visual Displays Affect Cognitive Processing doi:10.1007/s10648-015-9342-2 Jan. 25, 2018 June 6, 2018 19 0 3 From spreadsheet
R. E. Patterson et al. [2014]: A Human Cognition Framework for Information Visualization doi:10.1016/j.cag.2014.03.002 Jan. 25, 2018 June 6, 2018 18 0 3 From spreadsheet
T. Tenbrink [2014]: Cognitive Discourse Analysis for Cognitively Supportive Visualisations Jan. 25, 2018 June 6, 2018 8 0 4 From spreadsheet
Y. Zhang, R. K. E. Bellamy and W. A. Kellogg [2015]: Designing Information for Remediating Cognitive Biases in Decision-Making doi:10.1145/2702123.2702239 Jan. 25, 2018 June 6, 2018 1 0 0 From spreadsheet
B. Alper et al. [2017]: Visualization Literacy at Elementary School doi:10.1145/3025453.3025877 Jan. 25, 2018 June 6, 2018 10 0 1 From spreadsheet
D. J. Spiegelhalter, M. Pearson and I. Short [2011]: Visualizing Uncertainty About the Future doi:10.1126/science.1191181 Jan. 25, 2018 June 6, 2018 8 0 2 From spreadsheet
H. C. Purchase [2014]: Twelve Years of Diagrams Research doi:10.1016/j.jvlc.2013.11.004 Jan. 25, 2018 June 6, 2018 16 0 8 From spreadsheet
F. J. Anscombe [1973]: Graphs in Statistical Analysis doi:10.2307/2682899 Jan. 25, 2018 June 6, 2018 5 0 1 From spreadsheet
S. I. Fabrikant, S. R. Hespanha and M. Hegarty [2010]: Cognitively Inspired and Perceptually Salient Graphic Displays for Efficient Spatial Inference Making doi:10.1080/00045600903362378 Jan. 25, 2018 June 6, 2018 8 0 2 From spreadsheet
M. Chen and H. Jaenicke [2010]: An Information-Theoretic Framework for Visualization doi:10.1109/TVCG.2010.132 Jan. 25, 2018 June 6, 2018 9 0 2 From spreadsheet
E. Dimara, P. Dragicevic and A. Bezerianos [2014]: Accounting for Availability Biases in Information Visualization Jan. 25, 2018 June 6, 2018 5 0 1 From spreadsheet
D. C. Gooding [2010]: Visualizing Scientific Inference doi:10.1111/j.1756-8765.2009.01048.x Jan. 25, 2018 June 6, 2018 21 0 6 From spreadsheet
A. Groß [2015]: Die Bildpädagogik Otto Neuraths: Methodische Prinzipien der Darstellung von Wissen doi:10.1007/978-3-319-16316-1 Jan. 25, 2018 June 6, 2018 20 0 0 From spreadsheet
C. Lueder [2012]: Diagram Ecologies - Diagrams as Science and Game Board doi:10.1007/978-3-642-31223-6_23 Jan. 25, 2018 June 6, 2018 6 0 0 From spreadsheet
B. Tversky et al. [2016]: People, Place, and Time: Inferences from Diagrams doi:10.1007/978-3-319-42333-3_21 Jan. 25, 2018 June 6, 2018 4 0 2 From spreadsheet
N. Keena et al. [2016]: Interactive Visualization for Interdisciplinary Research doi:10.2352/ISSN.2470-1173.2016.1.VDA-491 Jan. 25, 2018 June 6, 2018 5 0 2 From spreadsheet
G. L. Kindlmann and C. E. Scheidegger [2014]: An Algebraic Process for Visualization Design doi:10.1109/TVCG.2014.2346325 Jan. 25, 2018 June 6, 2018 10 0 0 From spreadsheet
S. Bertschi and N. Bubenhofer [2005]: Linguistic Learning: A New Conceptual Focus in Knowledge Visualization doi:10.1109/IV.2005.71 Jan. 24, 2018 June 6, 2018 18 0 4 From spreadsheet
D. A. Szafir et al. [2016]: Four Types of Ensemble Coding in Data Visualizations doi:10.1167/16.5.11 Jan. 24, 2018 June 6, 2018 10 0 2 From spreadsheet
Y. Li, D. Li and K. Zhang [2017]: The impact of metaphors on information visualization doi:10.1007/s12650-016-0371-9 Jan. 24, 2018 June 6, 2018 2 0 1 From spreadsheet
A. Khan et al. [2015]: Benefits of Visualization in the Mammography Problem doi:10.1016/j.ijhcs.2015.07.001 Jan. 24, 2018 June 6, 2018 2 0 0 From spreadsheet
B. Tversky [2015]: On Abstraction and Ambiguity doi:10.1007/978-94-017-9297-4_13 Jan. 24, 2018 June 6, 2018 17 0 4 From spreadsheet
B. Tversky [2015]: The Cognitive Design of Tools of Thought doi:10.1007/s13164-014-0214-3 Jan. 24, 2018 June 6, 2018 13 0 6 From spreadsheet
S. Krämer [2014]: Zur Grammatik der Diagrammatik doi:10.1007/BF03379712 Jan. 24, 2018 June 6, 2018 15 0 0 From spreadsheet
M. W. Johansen [2014]: What’s in a Diagram? On the Classification of Symbols, Figures and Diagrams doi:10.1007/978-3-642-37428-9_6 Jan. 24, 2018 June 6, 2018 14 0 0 From spreadsheet
M. Hegarty [2013]: Cognition, Metacognition, and the Design of Maps doi:10.1177/0963721412469395 Jan. 24, 2018 June 6, 2018 9 0 1 From spreadsheet
W. Dou et al. [2012]: Toward a Deeper Understanding of the Relationship between Interaction Constraints and Visual Isomorphs doi:10.1177/1473871611433712 Jan. 24, 2018 June 6, 2018 11 0 1 From spreadsheet
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