◯
|
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 |
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M. Chen and H. Jaenicke [2010]: An Information-Theoretic Framework for Visualization doi:10.1109/TVCG.2010.132
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Jan. 25, 2018 |
June 6, 2018 |
9 |
0 |
2 |
From spreadsheet |
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E. Dimara, P. Dragicevic and A. Bezerianos [2014]: Accounting for Availability Biases in Information Visualization
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Jan. 25, 2018 |
June 6, 2018 |
5 |
0 |
1 |
From spreadsheet |
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D. C. Gooding [2010]: Visualizing Scientific Inference doi:10.1111/j.1756-8765.2009.01048.x
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Jan. 25, 2018 |
June 6, 2018 |
21 |
0 |
6 |
From spreadsheet |
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A. Groß [2015]: Die Bildpädagogik Otto Neuraths: Methodische Prinzipien der Darstellung von Wissen doi:10.1007/978-3-319-16316-1
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Jan. 25, 2018 |
June 6, 2018 |
20 |
0 |
0 |
From spreadsheet |
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C. Lueder [2012]: Diagram Ecologies - Diagrams as Science and Game Board doi:10.1007/978-3-642-31223-6_23
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Jan. 25, 2018 |
June 6, 2018 |
6 |
0 |
0 |
From spreadsheet |
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B. Tversky et al. [2016]: People, Place, and Time: Inferences from Diagrams doi:10.1007/978-3-319-42333-3_21
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Jan. 25, 2018 |
June 6, 2018 |
4 |
0 |
2 |
From spreadsheet |
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N. Keena et al. [2016]: Interactive Visualization for Interdisciplinary Research doi:10.2352/ISSN.2470-1173.2016.1.VDA-491
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Jan. 25, 2018 |
June 6, 2018 |
5 |
0 |
2 |
From spreadsheet |
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G. L. Kindlmann and C. E. Scheidegger [2014]: An Algebraic Process for Visualization Design doi:10.1109/TVCG.2014.2346325
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Jan. 25, 2018 |
June 6, 2018 |
10 |
0 |
0 |
From spreadsheet |
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S. Bertschi and N. Bubenhofer [2005]: Linguistic Learning: A New Conceptual Focus in Knowledge Visualization doi:10.1109/IV.2005.71
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Jan. 24, 2018 |
June 6, 2018 |
18 |
0 |
4 |
From spreadsheet |
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D. A. Szafir et al. [2016]: Four Types of Ensemble Coding in Data Visualizations doi:10.1167/16.5.11
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Jan. 24, 2018 |
June 6, 2018 |
10 |
0 |
2 |
From spreadsheet |
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Y. Li, D. Li and K. Zhang [2017]: The impact of metaphors on information visualization doi:10.1007/s12650-016-0371-9
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Jan. 24, 2018 |
June 6, 2018 |
2 |
0 |
1 |
From spreadsheet |
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A. Khan et al. [2015]: Benefits of Visualization in the Mammography Problem doi:10.1016/j.ijhcs.2015.07.001
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Jan. 24, 2018 |
June 6, 2018 |
2 |
0 |
0 |
From spreadsheet |
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B. Tversky [2015]: On Abstraction and Ambiguity doi:10.1007/978-94-017-9297-4_13
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Jan. 24, 2018 |
June 6, 2018 |
17 |
0 |
4 |
From spreadsheet |
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B. Tversky [2015]: The Cognitive Design of Tools of Thought doi:10.1007/s13164-014-0214-3
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Jan. 24, 2018 |
June 6, 2018 |
13 |
0 |
6 |
From spreadsheet |
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S. Krämer [2014]: Zur Grammatik der Diagrammatik doi:10.1007/BF03379712
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Jan. 24, 2018 |
June 6, 2018 |
15 |
0 |
0 |
From spreadsheet |
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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
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Jan. 24, 2018 |
June 6, 2018 |
14 |
0 |
0 |
From spreadsheet |
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M. Hegarty [2013]: Cognition, Metacognition, and the Design of Maps doi:10.1177/0963721412469395
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Jan. 24, 2018 |
June 6, 2018 |
9 |
0 |
1 |
From spreadsheet |
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W. Dou et al. [2012]: Toward a Deeper Understanding of the Relationship between Interaction Constraints and Visual Isomorphs doi:10.1177/1473871611433712
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Jan. 24, 2018 |
June 6, 2018 |
11 |
0 |
1 |
From spreadsheet |