bibliography.bib

@article{witt_graph_2019,
	title = {Graph {Construction}: {An} {Empirical} {Investigation} on {Setting} the {Range} of the {Y}-{Axis}},
	volume = {2},
	doi = {10.15626/MP.2018.895},
	abstract = {Graphs are an effective and compelling way to present scientific results. With few rigid guidelines, researchers have many degrees-of-freedom regarding graph construction. One such choice is the range of the y-axis. A range set just beyond the data will bias readers to see all effects as big. Conversely, a range set to the full range of options will bias readers to see all effects as small. Researchers should maximize congruence between visual size of an effect and the actual size of the effect. In the experiments presented here, participants viewed graphs with the y-axis set to the minimum range required for all the data to be visible, the full range from 0 to 100, and a range of approximately 1.5 standard deviations. The results showed that participants’ sensitivity to the effect depicted in the graph was better when the y-axis range was between one to two standard deviations than with either the minimum range or the full range. In addition, bias was also smaller with the standardized axis range than the minimum or full axis ranges. To achieve congruency in scientific fields for which effects are standardized, the y-axis range should be no less than 1 standard deviations, and aim to be at least 1.5 standard deviations.},
	language = {en},
	journal = {Meta-Psychology},
	author = {Witt, Jessica K},
	year = {2019},
	keywords = {READ, In Thesis},
	pages = {1--20},
	file = {Witt - Graph Construction An Empirical Investigation on .pdf:/Users/db/Zotero/storage/3THRB9VN/Witt - Graph Construction An Empirical Investigation on .pdf:application/pdf},
}

@inproceedings{pandey_how_2015,
	address = {Seoul, Republic of Korea},
	title = {How {Deceptive} are {Deceptive} {Visualizations}?: {An} {Empirical} {Analysis} of {Common} {Distortion} {Techniques}},
	isbn = {978-1-4503-3145-6},
	shorttitle = {How {Deceptive} are {Deceptive} {Visualizations}?},
	url = {http://dl.acm.org/citation.cfm?doid=2702123.2702608},
	doi = {10.1145/2702123.2702608},
	abstract = {In this paper, we present an empirical analysis of deceptive visualizations. We start with an in-depth analysis of what deception means in the context of data visualization, and categorize deceptive visualizations based on the type of deception they lead to. We identify popular distortion techniques and the type of visualizations those distortions can be applied to, and formalize why deception occurs with those distortions. We create four deceptive visualizations using the selected distortion techniques, and run a crowdsourced user study to identify the deceptiveness of those visualizations. We then present the findings of our study and show how deceptive each of these visual distortion techniques are, and for what kind of questions the misinterpretation occurs. We also analyze individual differences among participants and present the effect of some of those variables on participants’ responses. This paper presents a first step in empirically studying deceptive visualizations, and will pave the way for more research in this direction.},
	language = {en},
	urldate = {2020-10-16},
	booktitle = {Proceedings of the 33rd {Annual} {ACM} {Conference} on {Human} {Factors} in {Computing} {Systems} - {CHI} '15},
	publisher = {ACM Press},
	author = {Pandey, Anshul Vikram and Rall, Katharina and Satterthwaite, Margaret L. and Nov, Oded and Bertini, Enrico},
	year = {2015},
	keywords = {READ, In Thesis},
	pages = {1469--1478},
	file = {Pandey et al. - 2015 - How Deceptive are Deceptive Visualizations An Em.pdf:/Users/db/Zotero/storage/FN3LNTYF/Pandey et al. - 2015 - How Deceptive are Deceptive Visualizations An Em.pdf:application/pdf},
}

@article{hegarty_cognitive_2011,
	title = {The {Cognitive} {Science} of {Visual}-{Spatial} {Displays}: {Implications} for {Design}},
	volume = {3},
	copyright = {Copyright © 2011 Cognitive Science Society, Inc.},
	issn = {1756-8765},
	shorttitle = {The {Cognitive} {Science} of {Visual}-{Spatial} {Displays}},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1756-8765.2011.01150.x},
	doi = {https://doi.org/10.1111/j.1756-8765.2011.01150.x},
	abstract = {This paper reviews cognitive science perspectives on the design of visual-spatial displays and introduces the other papers in this topic. It begins by classifying different types of visual-spatial displays, followed by a discussion of ways in which visual-spatial displays augment cognition and an overview of the perceptual and cognitive processes involved in using displays. The paper then argues for the importance of cognitive science methods to the design of visual displays and reviews some of the main principles of display design that have emerged from these approaches to date. Cognitive scientists have had good success in characterizing the performance of well-defined tasks with relatively simple visual displays, but many challenges remain in understanding the use of complex displays for ill-defined tasks. Current research exemplified by the papers in this topic extends empirical approaches to new displays and domains, informs the development of general principles of graphic design, and addresses current challenges in display design raised by the recent explosion in availability of complex data sets and new technologies for visualizing and interacting with these data.},
	language = {en},
	number = {3},
	urldate = {2020-11-20},
	journal = {Topics in Cognitive Science},
	author = {Hegarty, Mary},
	year = {2011},
	note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1756-8765.2011.01150.x},
	keywords = {READ},
	pages = {446--474},
	file = {Full Text PDF:/Users/db/Zotero/storage/JLEAVKVF/Hegarty - 2011 - The Cognitive Science of Visual-Spatial Displays .pdf:application/pdf},
}

@article{barr_random_2013,
	title = {Random effects structure for confirmatory hypothesis testing: {Keep} it maximal},
	volume = {68},
	issn = {0749-596X},
	shorttitle = {Random effects structure for confirmatory hypothesis testing},
	url = {https://www.sciencedirect.com/science/article/pii/S0749596X12001180},
	doi = {10.1016/j.jml.2012.11.001},
	abstract = {Linear mixed-effects models (LMEMs) have become increasingly prominent in psycholinguistics and related areas. However, many researchers do not seem to appreciate how random effects structures affect the generalizability of an analysis. Here, we argue that researchers using LMEMs for confirmatory hypothesis testing should minimally adhere to the standards that have been in place for many decades. Through theoretical arguments and Monte Carlo simulation, we show that LMEMs generalize best when they include the maximal random effects structure justified by the design. The generalization performance of LMEMs including data-driven random effects structures strongly depends upon modeling criteria and sample size, yielding reasonable results on moderately-sized samples when conservative criteria are used, but with little or no power advantage over maximal models. Finally, random-intercepts-only LMEMs used on within-subjects and/or within-items data from populations where subjects and/or items vary in their sensitivity to experimental manipulations always generalize worse than separate F1 and F2 tests, and in many cases, even worse than F1 alone. Maximal LMEMs should be the ‘gold standard’ for confirmatory hypothesis testing in psycholinguistics and beyond.},
	language = {en},
	number = {3},
	urldate = {2021-05-04},
	journal = {Journal of Memory and Language},
	author = {Barr, Dale J. and Levy, Roger and Scheepers, Christoph and Tily, Harry J.},
	month = apr,
	year = {2013},
	keywords = {READ},
	pages = {255--278},
	file = {Accepted Version:/Users/db/Zotero/storage/BXTX5BDL/Barr et al. - 2013 - Random effects structure for confirmatory hypothes.pdf:application/pdf},
}

@article{taylor_misleading_1986,
	title = {Misleading {Graphs}: {Guidelines} for the {Accountant}},
	volume = {162},
	language = {en},
	number = {4},
	journal = {Journal of Accountancy},
	author = {Taylor, Barbara G and Anderson, Lane K},
	year = {1986},
	keywords = {READ, In Thesis},
	pages = {126--135},
	file = {Taylor and Anderson - 1986 - Misleading Graphs Guidelines for the Accountant.pdf:/Users/db/Zotero/storage/MNNLSTP6/Taylor and Anderson - 1986 - Misleading Graphs Guidelines for the Accountant.pdf:application/pdf},
}

@article{okan_probability_2020,
	title = {Probability {Size} {Matters}: {The} {Effect} of {Foreground}‐{Only} versus {Foreground}+{Background} {Graphs} on {Risk} {Aversion} {Diminishes} with {Larger} {Probabilities}},
	volume = {40},
	issn = {0272-4332, 1539-6924},
	shorttitle = {Probability {Size} {Matters}},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/risa.13431},
	doi = {10.1111/risa.13431},
	language = {en},
	number = {4},
	urldate = {2021-05-28},
	journal = {Risk Analysis},
	author = {Okan, Yasmina and Stone, Eric R. and Parillo, Jonathan and Bruine de Bruin, Wändi and Parker, Andrew M.},
	month = apr,
	year = {2020},
	keywords = {READ},
	pages = {771--788},
	file = {Okan et al. - 2020 - Probability Size Matters The Effect of Foreground.pdf:/Users/db/Zotero/storage/2EBS7I72/Okan et al. - 2020 - Probability Size Matters The Effect of Foreground.pdf:application/pdf},
}

@article{yang_truncating_2021,
	title = {Truncating {Bar} {Graphs} {Persistently} {Misleads} {Viewers}},
	issn = {22113681},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S2211368120300978},
	doi = {10.1016/j.jarmac.2020.10.002},
	abstract = {Data visualizations and graphs are increasingly common in both scientific and mass media settings. While graphs are useful tools for communicating patterns in data, they also have the potential to mislead viewers. In five studies, we provide empirical evidence that y-axis truncation leads viewers to perceive illustrated differences as larger (i.e., a truncation effect). This effect persisted after viewers were taught about the effects of y-axis truncation and was robust across participants, with 83.5\% of participants across these 5 studies showing a truncation effect. We also found that individual differences in graph literacy failed to predict the size of individuals’ truncation effects. PhD students in both quantitative fields and the humanities were susceptible to the truncation effect, but quantitative PhD students were slightly more resistant when no warning about truncated axes was provided. We discuss the implications of these results for the underlying mechanisms and make practical recommendations for training critical consumers and creators of graphs.},
	language = {en},
	urldate = {2021-05-31},
	journal = {Journal of Applied Research in Memory and Cognition},
	author = {Yang, Brenda W. and Vargas Restrepo, Camila and Stanley, Matthew L. and Marsh, Elizabeth J.},
	month = feb,
	year = {2021},
	keywords = {READ, In Thesis},
	pages = {S2211368120300978},
	file = {Yang et al. - 2021 - Truncating Bar Graphs Persistently Misleads Viewer.pdf:/Users/db/Zotero/storage/A7TZ5WUX/Yang et al. - 2021 - Truncating Bar Graphs Persistently Misleads Viewer.pdf:application/pdf},
}

@article{brown_does_2008,
	title = {Does {Wage} {Rank} {Affect} {Employees}’ {Well}-being?},
	volume = {47},
	issn = {0019-8676, 1468-232X},
	url = {http://doi.wiley.com/10.1111/j.1468-232X.2008.00525.x},
	doi = {10.1111/j.1468-232X.2008.00525.x},
	language = {en},
	number = {3},
	urldate = {2021-05-31},
	journal = {Industrial Relations},
	author = {Brown, Gordon D. A. and Gardner, Jonathan and Oswald, Andrew J. and Qian, Jing},
	month = jul,
	year = {2008},
	pages = {355--389},
	file = {Brown et al. - 2008 - Does Wage Rank Affect Employees’ Well-being.pdf:/Users/db/Zotero/storage/K4PSGH4E/Brown et al. - 2008 - Does Wage Rank Affect Employees’ Well-being.pdf:application/pdf;Submitted Version:/Users/db/Zotero/storage/WSU4PKD9/Brown et al. - 2008 - Does Wage Rank Affect Employees’ Well-being.pdf:application/pdf;Submitted Version:/Users/db/Zotero/storage/99HXFDNZ/Brown et al. - 2008 - Does Wage Rank Affect Employees’ Well-being.pdf:application/pdf},
}

@article{sandman_high_1994,
	title = {High {Risk} or {Low}: {How} {Location} on a "{Risk} {Ladder}" {Affects} {Perceived} {Risk}},
	volume = {14},
	issn = {0272-4332, 1539-6924},
	shorttitle = {High {Risk} or {Low}},
	url = {http://doi.wiley.com/10.1111/j.1539-6924.1994.tb00026.x},
	doi = {10.1111/j.1539-6924.1994.tb00026.x},
	language = {en},
	number = {1},
	urldate = {2021-06-07},
	journal = {Risk Analysis},
	author = {Sandman, Peter M. and Weinstein, Neil D. and Miller, Paul},
	month = feb,
	year = {1994},
	keywords = {READ, In Thesis},
	pages = {35--45},
	file = {Sandman et al. - 1994 - High Risk or Low How Location on a Risk Ladder .pdf:/Users/db/Zotero/storage/4FGHHA35/Sandman et al. - 1994 - High Risk or Low How Location on a Risk Ladder .pdf:application/pdf},
}

@article{peirce_psychopy2_2019,
	title = {{PsychoPy2}: {Experiments} in behavior made easy},
	volume = {51},
	issn = {1554-3528},
	shorttitle = {{PsychoPy2}},
	url = {http://link.springer.com/10.3758/s13428-018-01193-y},
	doi = {10.3758/s13428-018-01193-y},
	language = {en},
	number = {1},
	urldate = {2021-07-20},
	journal = {Behavior Research Methods},
	author = {Peirce, Jonathan and Gray, Jeremy R. and Simpson, Sol and MacAskill, Michael and Höchenberger, Richard and Sogo, Hiroyuki and Kastman, Erik and Lindeløv, Jonas Kristoffer},
	month = feb,
	year = {2019},
	keywords = {READ, In Thesis, citations-highlighted},
	pages = {195--203},
	file = {Full Text:/Users/db/Zotero/storage/9N89H49M/Peirce et al. - 2019 - PsychoPy2 Experiments in behavior made easy.pdf:application/pdf},
}

@article{garcia-retamero_measuring_2016,
	title = {Measuring {Graph} {Literacy} without a {Test}: {A} {Brief} {Subjective} {Assessment}},
	volume = {36},
	issn = {0272-989X, 1552-681X},
	shorttitle = {Measuring {Graph} {Literacy} without a {Test}},
	url = {http://journals.sagepub.com/doi/10.1177/0272989X16655334},
	doi = {10.1177/0272989X16655334},
	abstract = {Background. Visual aids tend to help diverse and vulnerable individuals understand risk communications, as long as these individuals have a basic understanding of graphs (i.e., graph literacy). Tests of objective graph literacy (OGL) can effectively identify individuals with limited skills, highlighting vulnerabilities and facilitating custom-tailored risk communication. However, the administration of these tests can be time-consuming and may evoke negative emotional reactions (e.g., anxiety). Objectives. To evaluate a brief and easy-to-use assessment of subjective graph literacy (SGL) (i.e., self-reported ability to process and use graphically presented information) and to estimate the robustness and validity of the SGL scale and compare it with the leading OGL scale in diverse samples from different cultures. Participants. Demographically diverse residents ( n = 470) of the United States, young adults ( n = 172) and patients (n = 175) from Spain, and surgeons ( n = 175) from 48 countries. Design. A focus group and 4 studies for instrument development and initial validation (study 1), reliability and convergent and discriminant validity evaluation (study 2), and predictive validity estimation (studies 3 and 4). Measures. Psychometric properties of the scale. Results. In about 1 minute, the SGL scale provides a reliable, robust, and valid assessment of skills and risk communication preferences and evokes fewer negative emotional reactions than the OGL scale. Conclusions. The SGL scale can be suitable for use in clinical research and may be useful as a communication aid in clinical practice. Theoretical mechanisms involved in SGL, emerging applications, limitations, and open questions are discussed.},
	language = {en},
	number = {7},
	urldate = {2021-07-21},
	journal = {Medical Decision Making},
	author = {Garcia-Retamero, Rocio and Cokely, Edward T. and Ghazal, Saima and Joeris, Alexander},
	month = oct,
	year = {2016},
	keywords = {READ, In Thesis},
	pages = {854--867},
	file = {Garcia-Retamero et al. - 2016 - Measuring Graph Literacy without a Test A Brief S.pdf:/Users/db/Zotero/storage/BJFJ7Q8C/Garcia-Retamero et al. - 2016 - Measuring Graph Literacy without a Test A Brief S.pdf:application/pdf},
}

@incollection{grice_logic_1975,
	address = {New York},
	title = {Logic and {Conversation}},
	booktitle = {Syntax and {Semantics} {Vol}.3: {Speech} {Acts}},
	publisher = {Academic Press},
	author = {Grice, Paul},
	editor = {Cole, P and Morgan, J. L.},
	year = {1975},
	keywords = {READ, In Thesis},
	pages = {41--58},
	file = {Grice - 1975 - Logic and Conversation.pdf:/Users/db/Zotero/storage/MLAB3LMD/Grice - 1975 - Logic and Conversation.pdf:application/pdf},
}

@article{stone_foregroundbackground_2003,
	title = {Foreground:background salience: {Explaining} the effects of graphical displays on risk avoidance},
	volume = {90},
	issn = {07495978},
	shorttitle = {Foreground},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0749597803000037},
	doi = {10.1016/S0749-5978(03)00003-7},
	language = {en},
	number = {1},
	urldate = {2022-02-15},
	journal = {Organizational Behavior and Human Decision Processes},
	author = {Stone, Eric R. and Sieck, Winston R. and Bull, Benita E. and Frank Yates, J. and Parks, Stephanie C. and Rush, Carolyn J.},
	month = jan,
	year = {2003},
	keywords = {READ, In Thesis},
	pages = {19--36},
	file = {Stone et al. - 2003 - Foregroundbackground salience Explaining the eff.pdf:/Users/db/Zotero/storage/45564996/Stone et al. - 2003 - Foregroundbackground salience Explaining the eff.pdf:application/pdf},
}

@inproceedings{correll_truncating_2020,
	address = {Honolulu HI USA},
	title = {Truncating the {Y}-{Axis}: {Threat} or {Menace}?},
	isbn = {978-1-4503-6708-0},
	shorttitle = {Truncating the {Y}-{Axis}},
	url = {https://dl.acm.org/doi/10.1145/3313831.3376222},
	doi = {10.1145/3313831.3376222},
	language = {en},
	urldate = {2022-03-21},
	booktitle = {Proceedings of the 2020 {CHI} {Conference} on {Human} {Factors} in {Computing} {Systems}},
	publisher = {ACM},
	author = {Correll, Michael and Bertini, Enrico and Franconeri, Steven},
	month = apr,
	year = {2020},
	keywords = {READ, In Thesis},
	pages = {1--12},
	file = {Submitted Version:/Users/db/Zotero/storage/4VL7AE9Z/Correll et al. - 2020 - Truncating the Y-Axis Threat or Menace.pdf:application/pdf},
}

@misc{voeten_buildmer_2022,
	title = {buildmer: {Stepwise} {Elimination} and {Term} {Reordering} for {Mixed}-{Effects}},
	url = {https://CRAN.R-project.org/package=buildmer},
	author = {Voeten, Cesko C.},
	year = {2022},
	keywords = {READ, In Thesis, citations-highlighted},
	file = {buildmer.pdf:/Users/db/Zotero/storage/MC3735AZ/buildmer.pdf:application/pdf},
}

@misc{lenth_emmeans_2021,
	title = {emmeans: {Estimated} {Marginal} {Means}, aka {Least}-{Squares} {Means}},
	url = {https://CRAN.R-project.org/package=emmeans},
	author = {Lenth, Russell V.},
	year = {2021},
}

@misc{r_core_team_r_2022,
	address = {Vienna, Austria},
	title = {R: {A} {Language} and {Environment} for {Statistical} {Computing}},
	url = {https://www.R-project.org/},
	publisher = {R Foundation for Statistical Computing},
	author = {{R Core Team}},
	year = {2022},
}

@article{schloss_mapping_2019,
	title = {Mapping {Color} to {Meaning} in {Colormap} {Data} {Visualizations}},
	volume = {25},
	issn = {1077-2626, 1941-0506, 2160-9306},
	url = {https://ieeexplore.ieee.org/document/8454346/},
	doi = {10.1109/TVCG.2018.2865147},
	number = {1},
	urldate = {2022-04-05},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	author = {Schloss, Karen B. and Gramazio, Connor C. and Silverman, Allison T. and Parker, Madeline L. and Wang, Audrey S.},
	month = jan,
	year = {2019},
	keywords = {READ},
	pages = {810--819},
	file = {Schloss et al. - 2019 - Mapping Color to Meaning in Colormap Data Visualiz.pdf:/Users/db/Zotero/storage/G57G6448/Schloss et al. - 2019 - Mapping Color to Meaning in Colormap Data Visualiz.pdf:application/pdf},
}

@article{driessen_misleading_2022,
	title = {Misleading graphs in context: {Less} misleading than expected},
	volume = {17},
	issn = {1932-6203},
	shorttitle = {Misleading graphs in context},
	url = {https://dx.plos.org/10.1371/journal.pone.0265823},
	doi = {10.1371/journal.pone.0265823},
	abstract = {Misleading graphs are a source of misinformation that worry many experts. Especially people with a low graph literacy are thought to be persuaded by graphs that misrepresent the underlying data. But we know little about how people interpret misleading graphs and how these graphs influence their opinions. In this study we focus on the effect of truncating the y-axis for a line chart which exaggerates an upgoing trend. In a randomized controlled trial, we showed participants either a normal or a misleading chart, and we did so in two different contexts. After they had seen the graphs, we asked participants their opinion on the trend and to give an estimation of the increase. Finally we measured their graph literacy. Our results show that context is the only significant factor in opinion-forming; the misleading graph and graph literacy had no effect. None of these factors had a significant impact on estimations for the increase. These results show that people might be less susceptible to misleading graphs than we thought and that context has more impact than a misleading y-axis.},
	language = {en},
	number = {6},
	urldate = {2022-08-09},
	journal = {PLOS ONE},
	author = {Driessen, Jannetje E. P. and Vos, Daniël A. C. and Smeets, Ionica and Albers, Casper J.},
	editor = {Gracia-Lázaro, Carlos},
	month = jun,
	year = {2022},
	keywords = {READ, In Thesis},
	pages = {e0265823},
	file = {Full Text:/Users/db/Zotero/storage/ISNXY8PW/Driessen et al. - 2022 - Misleading graphs in context Less misleading than.pdf:application/pdf},
}

@article{harrower_colorbrewerorg_2003,
	title = {{ColorBrewer}.org: {An} {Online} {Tool} for {Selecting} {Colour} {Schemes} for {Maps}},
	volume = {40},
	issn = {0008-7041, 1743-2774},
	shorttitle = {{ColorBrewer}.org},
	url = {http://www.tandfonline.com/doi/full/10.1179/000870403235002042},
	doi = {10.1179/000870403235002042},
	language = {en},
	number = {1},
	urldate = {2022-08-19},
	journal = {The Cartographic Journal},
	author = {Harrower, Mark and Brewer, Cynthia A.},
	month = jun,
	year = {2003},
	pages = {27--37},
	file = {Harrower and Brewer - 2003 - ColorBrewer.org An Online Tool for Selecting Colo.pdf:/Users/db/Zotero/storage/AECIYRZ3/Harrower and Brewer - 2003 - ColorBrewer.org An Online Tool for Selecting Colo.pdf:application/pdf},
}

@article{dasgupta_effect_2020,
	title = {The {Effect} of {Color} {Scales} on {Climate} {Scientists}’ {Objective} and {Subjective} {Performance} in {Spatial} {Data} {Analysis} {Tasks}},
	volume = {26},
	issn = {1077-2626, 1941-0506, 2160-9306},
	url = {https://ieeexplore.ieee.org/document/8494817/},
	doi = {10.1109/TVCG.2018.2876539},
	number = {3},
	urldate = {2022-08-19},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	author = {Dasgupta, Aritra and Poco, Jorge and Rogowitz, Bernice and Han, Kyungsik and Bertini, Enrico and Silva, Claudio T.},
	month = mar,
	year = {2020},
	pages = {1577--1591},
	file = {Dasgupta et al. - 2020 - The Effect of Color Scales on Climate Scientists’ .pdf:/Users/db/Zotero/storage/QR2YKKPL/Dasgupta et al. - 2020 - The Effect of Color Scales on Climate Scientists’ .pdf:application/pdf},
}

@article{hu_foreground-background_2014,
	title = {Foreground-background salience effect in traffic risk communication},
	volume = {9},
	abstract = {Pie charts are often used to communicate risk, such as the risk of driving. In the foreground-background salience effect (FBSE), foreground (probability of bad event) has greater salience than background (no bad event) in such a chart. Experiment 1 confirmed that the displays format of pie charts showed a typical FBSE. Experiment 2 showed that the FBSE resulted from a difference in cognitive efforts in processing the messages and that a foreground-emphasizing display was easier to process. Experiment 3 manipulated subjects’ information processing mindset and explored the interaction between displays format and information processing mindset. In the default mindset, careless subjects displayed a typical FBSE, while those who were instructed to be careful reported similar risk-avoidant behavior preference reading both charts. Suggestions for improving risk communication are discussed.},
	language = {en},
	number = {1},
	journal = {Judgment and Decision Making},
	author = {Hu, Tian-Yi and Jiang, Xin-Wen and Xie, Xiaofei and Ma, Xiao-Qin and Xu, Chao},
	year = {2014},
	keywords = {READ},
	pages = {83--89},
	file = {Hu et al. - 2014 - Foreground-background salience effect in traffic ri.pdf:/Users/db/Zotero/storage/E5DEVNNP/Hu et al. - 2014 - Foreground-background salience effect in traffic ri.pdf:application/pdf},
}

@article{garcia-retamero_who_2010,
	title = {Who profits from visual aids: {Overcoming} challenges in people's understanding of risks},
	volume = {70},
	issn = {02779536},
	shorttitle = {Who proficts from visual aids},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S027795361000002X},
	doi = {10.1016/j.socscimed.2009.11.031},
	abstract = {Many people have difficulties grasping numerical concepts that are prerequisites for understanding treatment risk reduction. Visual aids have been proposed as a promising method for enhancing comprehension. In a survey of probabilistic, nationally representative samples in two different countries (United States and Germany), we compared the effectiveness of adding different types of visual aids (icon arrays and bar graphs representing either affected individuals only or the entire population at risk) to the numerical information in either an absolute or a relative risk reduction format. We also analyzed whether people’s numeracy and graphical literacy skills affected the efficacy of the visual aids. Our results showed large improvements in accuracy both when icon arrays and when bar graphs were added to numerical information. Highest increases were achieved when the visual aids depicted the entire population at risk. Importantly, visual aids were most useful for the participants who had low numeracy but relatively high graphical literacy skills. Building on previous research showing that problems with understanding numerical information often do not reside in people’s minds, but in the representation of the problem, our results show that visual aids help to modify incorrect expectations about treatment risk reduction. Our results have important implications for medical practice.},
	language = {en},
	number = {7},
	urldate = {2022-08-22},
	journal = {Social Science \& Medicine},
	author = {Garcia-Retamero, Rocio and Galesic, Mirta},
	month = apr,
	year = {2010},
	keywords = {READ, In Thesis},
	pages = {1019--1025},
	file = {Garcia-Retamero and Galesic - 2010 - Who proficts from visual aids Overcoming challeng.pdf:/Users/db/Zotero/storage/5ZJ97GBH/Garcia-Retamero and Galesic - 2010 - Who proficts from visual aids Overcoming challeng.pdf:application/pdf},
}

@article{lin_selecting_2013,
	title = {Selecting {Semantically}-{Resonant} {Colors} for {Data} {Visualization}},
	volume = {32},
	issn = {01677055},
	url = {https://onlinelibrary.wiley.com/doi/10.1111/cgf.12127},
	doi = {10.1111/cgf.12127},
	language = {en},
	number = {3pt4},
	urldate = {2022-08-26},
	journal = {Computer Graphics Forum},
	author = {Lin, Sharon and Fortuna, Julie and Kulkarni, Chinmay and Stone, Maureen and Heer, Jeffrey},
	month = jun,
	year = {2013},
	pages = {401--410},
	file = {Lin et al. - 2013 - Selecting Semantically-Resonant Colors for Data Vi.pdf:/Users/db/Zotero/storage/KQRHUVZA/Lin et al. - 2013 - Selecting Semantically-Resonant Colors for Data Vi.pdf:application/pdf},
}

@inproceedings{correll_value-suppressing_2018,
	address = {Montreal QC Canada},
	title = {Value-{Suppressing} {Uncertainty} {Palettes}},
	isbn = {978-1-4503-5620-6},
	url = {https://dl.acm.org/doi/10.1145/3173574.3174216},
	doi = {10.1145/3173574.3174216},
	language = {en},
	urldate = {2022-08-26},
	booktitle = {Proceedings of the 2018 {CHI} {Conference} on {Human} {Factors} in {Computing} {Systems}},
	publisher = {ACM},
	author = {Correll, Michael and Moritz, Dominik and Heer, Jeffrey},
	month = apr,
	year = {2018},
	pages = {1--11},
	file = {Correll et al. - 2018 - Value-Suppressing Uncertainty Palettes.pdf:/Users/db/Zotero/storage/XT93437X/Correll et al. - 2018 - Value-Suppressing Uncertainty Palettes.pdf:application/pdf},
}

@article{stone_effects_1997,
	title = {Effects of numerical and graphical displays on professed risk-taking behavior.},
	volume = {3},
	issn = {1939-2192, 1076-898X},
	url = {http://doi.apa.org/getdoi.cfm?doi=10.1037/1076-898X.3.4.243},
	doi = {10.1037/1076-898X.3.4.243},
	language = {en},
	number = {4},
	urldate = {2022-09-15},
	journal = {Journal of Experimental Psychology: Applied},
	author = {Stone, Eric R. and Yates, J. Frank and Parker, Andrew M.},
	month = dec,
	year = {1997},
	keywords = {READ, In Thesis},
	pages = {243--256},
}

@article{hunter_matplotlib_2007,
	title = {Matplotlib: {A} {2D} {Graphics} {Environment}},
	volume = {9},
	issn = {1521-9615},
	shorttitle = {Matplotlib},
	url = {http://ieeexplore.ieee.org/document/4160265/},
	doi = {10.1109/MCSE.2007.55},
	number = {3},
	urldate = {2022-09-15},
	journal = {Computing in Science \& Engineering},
	author = {Hunter, John D.},
	year = {2007},
	pages = {90--95},
}

@article{bates_fitting_2015,
	title = {Fitting {Linear} {Mixed}-{Effects} {Models} {Using} \textbf{lme4}},
	volume = {67},
	issn = {1548-7660},
	url = {http://www.jstatsoft.org/v67/i01/},
	doi = {10.18637/jss.v067.i01},
	language = {en},
	number = {1},
	urldate = {2022-09-15},
	journal = {Journal of Statistical Software},
	author = {Bates, Douglas and Mächler, Martin and Bolker, Ben and Walker, Steve},
	year = {2015},
	file = {Full Text:/Users/db/Zotero/storage/U8B2AY79/Bates et al. - 2015 - Fitting Linear Mixed-Effects Models Using lme4.pdf:application/pdf},
}

@article{schiewe_empirical_2019,
	title = {Empirical {Studies} on the {Visual} {Perception} of {Spatial} {Patterns} in {Choropleth} {Maps}},
	volume = {69},
	issn = {2524-4957, 2524-4965},
	url = {http://link.springer.com/10.1007/s42489-019-00026-y},
	doi = {10.1007/s42489-019-00026-y},
	language = {en},
	number = {3},
	urldate = {2022-11-20},
	journal = {KN - Journal of Cartography and Geographic Information},
	author = {Schiewe, Jochen},
	month = sep,
	year = {2019},
	keywords = {READ},
	pages = {217--228},
	file = {Full Text:/Users/db/Zotero/storage/NILI3AT4/Schiewe - 2019 - Empirical Studies on the Visual Perception of Spat.pdf:application/pdf},
}

@inproceedings{szafir_adapting_2014,
	address = {Boston, Massachusetts},
	title = {Adapting {Color} {Difference} for {Design}},
	abstract = {CIELAB is commonly used in design as it provides a simple method for approximating color difference. However, these approximations model color perception under laboratory conditions, with correctly calibrated displays and carefully constrained viewing environments that are not reflective of complexity of viewing conditions encountered in the real world. In this paper, we present a data-driven engineering model for parametric color difference that extends CIELAB to be more broadly applicable to real-world conditions. Our model can be tuned to a desired range of viewers and conditions using a simple modeling procedure, while minimally increasing the complexity of the model. We demonstrate our approach empirically by modeling color differences for the web by leveraging crowdsourced participants.},
	language = {en},
	publisher = {Society for Imaging Science and Technology},
	author = {Szafir, Danielle Albers and Stone, Maureen and Gleicher, Michael},
	month = nov,
	year = {2014},
	keywords = {READ},
	pages = {6},
	file = {Szafir et al. - 2014 - Adapting Color Difference for Design.pdf:/Users/db/Zotero/storage/G3LAI26P/Szafir et al. - 2014 - Adapting Color Difference for Design.pdf:application/pdf},
}

@inproceedings{stone_engineering_2014,
	address = {Boston, Massachusetts},
	title = {An {Engineering} {Model} for {Color} {Difference} as a {Function} of {Size}},
	abstract = {This work describes a first step towards the creation of an engineering model for the perception of color difference as a function of size. Our approach is to non-uniformly rescale CIELAB using data from crowdsourced experiments, such as those run on Amazon Mechanical Turk. In such experiments, the inevitable variations in viewing conditions reflect the environment many applications must run in. Our goal is to create a useful model for design applications where it is important to make colors distinct, but for which a small set of highly distinct colors is inadequate.},
	language = {en},
	publisher = {Society for Imaging Science and Technology},
	author = {Stone, Maureen and Szafir, Danielle Albers and Setlur, Vidya},
	month = nov,
	year = {2014},
	keywords = {READ},
	pages = {6},
	file = {Stone et al. - An Engineering Model for Color Difference as a Fun.pdf:/Users/db/Zotero/storage/QMWMBPYB/Stone et al. - An Engineering Model for Color Difference as a Fun.pdf:application/pdf},
}

@misc{fischer_federal_2021,
	title = {A {Federal} {Ban} on {Abortion} is {Wildly} {Unpopular} in {All} 50 {States}},
	url = {https://www.dataforprogress.org/blog/2021/12/10/a-federal-ban-on-abortion-is-wildly-unpopular-in-all-50-states},
	journal = {Data For Progress},
	author = {Fischer, Johannes and Ali, Ahmad},
	month = dec,
	year = {2021},
}

@article{galesic_graph_2011,
	title = {Graph {Literacy}: {A} {Cross}-{Cultural} {Comparison}},
	volume = {31},
	issn = {0272-989X, 1552-681X},
	shorttitle = {Graph {Literacy}},
	url = {http://journals.sagepub.com/doi/10.1177/0272989X10373805},
	doi = {10.1177/0272989X10373805},
	abstract = {Background. Visual displays are often used to communicate important medical information to patients. However, even the simplest graphs are not understood by everyone. Objective. To develop and test a scale to measure health-related graph literacy and investigate the level of graph literacy in the United States and Germany. Design. Experimental and questionnaire studies. Setting. Computerized studies in the laboratory and on probabilistic national samples in the United States and Germany. Participants. Nationally representative samples of people 25 to 69 years of age in Germany ( n = 495) and the United States ( n = 492). Laboratory pretest on 60 younger and 60 older people. Measurements. Psychometric properties of the scale (i.e., reliability, validity, discriminability) and level of graph literacy in the two countries. Results. The new graph literacy scale predicted which patients can benefit from visual aids and had promising measurement properties. Participants in both countries completed approximately 9 of 13 items correctly (in Germany, x¯ = 9.4, s = 2.6; in the United States, x¯ = 9.3, s = 2.9). Approximately one third of the population in both countries had both low graph literacy and low numeracy skills. Limitations. The authors focused on basic graph literacy only. They used a computerized scale; comparability with paper-and-pencil versions should be checked. Conclusions. The new graph literacy scale seems to be a suitable tool for assessing whether patients understand common graphical formats and shows that not everyone profits from standard visual displays. Research is needed on communication formats that can overcome the barriers of both low numeracy and graph literacy.},
	language = {en},
	number = {3},
	urldate = {2022-12-14},
	journal = {Medical Decision Making},
	author = {Galesic, Mirta and Garcia-Retamero, Rocio},
	month = may,
	year = {2011},
	keywords = {READ, In Thesis},
	pages = {444--457},
	file = {Galesic and Garcia-Retamero - 2011 - Graph Literacy A Cross-Cultural Comparison.pdf:/Users/db/Zotero/storage/BPIFH9NG/Galesic and Garcia-Retamero - 2011 - Graph Literacy A Cross-Cultural Comparison.pdf:application/pdf},
}

@article{tversky_framing_1981,
	title = {The {Framing} of {Decisions} and the {Psychology} of {Choice}},
	volume = {211},
	issn = {0036-8075, 1095-9203},
	url = {https://www.science.org/doi/10.1126/science.7455683},
	doi = {10.1126/science.7455683},
	language = {en},
	number = {4481},
	urldate = {2023-06-18},
	journal = {Science},
	author = {Tversky, Amos and Kahneman, Daniel},
	month = jan,
	year = {1981},
	keywords = {READ},
	pages = {453--458},
	file = {Tversky and Kahneman - 1981 - The Framing of Decisions and the Psychology of Cho.pdf:/Users/db/Zotero/storage/L2PXGMQE/Tversky and Kahneman - 1981 - The Framing of Decisions and the Psychology of Cho.pdf:application/pdf},
}

@article{brychtova_discriminating_2015,
	title = {Discriminating classes of sequential and qualitative colour schemes},
	volume = {1},
	issn = {2372-9333, 2372-9341},
	url = {http://www.tandfonline.com/doi/full/10.1080/23729333.2015.1055643},
	doi = {10.1080/23729333.2015.1055643},
	language = {en},
	number = {1},
	urldate = {2023-06-30},
	journal = {International Journal of Cartography},
	author = {Brychtova, Alzbeta and Coltekin, Arzu},
	month = jan,
	year = {2015},
	keywords = {READ},
	pages = {62--78},
	file = {Full Text:/Users/db/Zotero/storage/5CF747EL/Brychtova and Coltekin - 2015 - Discriminating classes of sequential and qualitati.pdf:application/pdf},
}

@article{hepburn_applying_2022,
	title = {Applying eye-tracking for interpreting map legend use by professional decision makers},
	volume = {5},
	issn = {2570-2106},
	url = {https://ica-abs.copernicus.org/articles/5/105/2022/},
	doi = {10.5194/ica-abs-5-105-2022},
	language = {en},
	urldate = {2023-06-30},
	journal = {Abstracts of the ICA},
	author = {Hepburn, Jessica and Fairbairn, David},
	month = sep,
	year = {2022},
	keywords = {READ},
	pages = {1--2},
	file = {Full Text:/Users/db/Zotero/storage/DA2KS9HA/Hepburn and Fairbairn - 2022 - Applying eye-tracking for interpreting map legend .pdf:application/pdf},
}

@article{edler_searching_2020,
	title = {Searching for the ‘{Right}’ {Legend}: {The} {Impact} of {Legend} {Position} on {Legend} {Decoding} in a {Cartographic} {Memory} {Task}},
	volume = {57},
	issn = {0008-7041, 1743-2774},
	shorttitle = {Searching for the ‘{Right}’ {Legend}},
	url = {https://www.tandfonline.com/doi/full/10.1080/00087041.2018.1533293},
	doi = {10.1080/00087041.2018.1533293},
	language = {en},
	number = {1},
	urldate = {2023-06-30},
	journal = {The Cartographic Journal},
	author = {Edler, Dennis and Keil, Julian and Tuller, Marie-Christin and Bestgen, Anne-Kathrin and Dickmann, Frank},
	month = jan,
	year = {2020},
	keywords = {READ},
	pages = {6--17},
	file = {Edler et al. - 2020 - Searching for the ‘Right’ Legend The Impact of Le.pdf:/Users/db/Zotero/storage/NAFKVC83/Edler et al. - 2020 - Searching for the ‘Right’ Legend The Impact of Le.pdf:application/pdf},
}

@article{golebiowska_legend_2015,
	title = {Legend {Layouts} for {Thematic} {Maps}: {A} {Case} {Study} {Integrating} {Usability} {Metrics} with the {Thinking} {Aloud} {Method}},
	volume = {52},
	issn = {0008-7041, 1743-2774},
	shorttitle = {Legend {Layouts} for {Thematic} {Maps}},
	url = {http://www.tandfonline.com/doi/full/10.1179/1743277413Y.0000000045},
	doi = {10.1179/1743277413Y.0000000045},
	language = {en},
	number = {1},
	urldate = {2023-06-30},
	journal = {The Cartographic Journal},
	author = {Gołębiowska, Izabela},
	month = feb,
	year = {2015},
	keywords = {READ},
	pages = {28--40},
	file = {Gołębiowska - 2015 - Legend Layouts for Thematic Maps A Case Study Int.pdf:/Users/db/Zotero/storage/QZ4PRVVA/Gołębiowska - 2015 - Legend Layouts for Thematic Maps A Case Study Int.pdf:application/pdf},
}

@article{dykes_rethinking_2010,
	title = {Rethinking {Map} {Legends} with {Visualization}},
	volume = {16},
	issn = {1077-2626},
	url = {http://ieeexplore.ieee.org/document/5613425/},
	doi = {10.1109/TVCG.2010.191},
	number = {6},
	urldate = {2023-06-30},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	author = {Dykes, Jason and Wood, Jo and Slingsby, Aidan},
	month = nov,
	year = {2010},
	keywords = {READ},
	pages = {890--899},
	file = {Accepted Version:/Users/db/Zotero/storage/MWKEASEU/Dykes et al. - 2010 - Rethinking Map Legends with Visualization.pdf:application/pdf},
}

@article{li_spacing_2014,
	title = {Spacing and alignment rules for effective legend design},
	volume = {41},
	issn = {1523-0406, 1545-0465},
	url = {http://www.tandfonline.com/doi/abs/10.1080/15230406.2014.933085},
	doi = {10.1080/15230406.2014.933085},
	language = {en},
	number = {4},
	urldate = {2023-06-30},
	journal = {Cartography and Geographic Information Science},
	author = {Li, Zhilin and Qin, Zhe},
	month = aug,
	year = {2014},
	keywords = {READ},
	pages = {348--362},
	file = {Li and Qin - 2014 - Spacing and alignment rules for effective legend d.pdf:/Users/db/Zotero/storage/HHA45VKD/Li and Qin - 2014 - Spacing and alignment rules for effective legend d.pdf:application/pdf},
}

@article{kumar_frequency_2004,
	title = {Frequency {Histogram} {Legend} in the {Choropleth} {Map}: {A} {Substitute} to {Traditional} {Legends}},
	volume = {31},
	issn = {1523-0406, 1545-0465},
	shorttitle = {Frequency {Histogram} {Legend} in the {Choropleth} {Map}},
	url = {http://www.tandfonline.com/doi/abs/10.1559/1523040042742411},
	doi = {10.1559/1523040042742411},
	abstract = {This article presents the use of the frequency histogram legend (FHL) as a substitute to traditional legends in both classed and unclassed choropleth maps. Great variation in the size of mapping units can hinder readers’ ability to comprehend statistical distributions from a choropleth map. Replacing conventional legends with FHL can aid readers in their understanding of spatial as well as statistical distributions of the mapped data simultaneously. A customized mapping application was designed in ArcInfo 9.0 to test the use of FHL in both classed and unclassed choropleth maps. Frequency histogram legends were tested on different types of statistical distributions. Although the comparison of the results shows that the FHL works best for a Gaussian or close to a Gaussian distribution for eight or fewer classes, the customized application permits users to generate choropleth maps with frequency histogram legends for any type of statistical distribution with any number of classes. The analysis reveals that readers’ background in statistics helped them to effectively utilize and interpret frequency histogram legends in the choropleth maps.},
	language = {en},
	number = {4},
	urldate = {2023-06-30},
	journal = {Cartography and Geographic Information Science},
	author = {Kumar, Naresh},
	month = jan,
	year = {2004},
	keywords = {READ},
	pages = {217--236},
	file = {Kumar - 2004 - Frequency Histogram Legend in the Choropleth Map .pdf:/Users/db/Zotero/storage/3DZDEIVH/Kumar - 2004 - Frequency Histogram Legend in the Choropleth Map .pdf:application/pdf},
}

@article{retchless_guidance_2016,
	title = {Guidance for representing uncertainty on global temperature change maps},
	volume = {36},
	issn = {0899-8418, 1097-0088},
	url = {https://onlinelibrary.wiley.com/doi/10.1002/joc.4408},
	doi = {10.1002/joc.4408},
	language = {en},
	number = {3},
	urldate = {2023-06-30},
	journal = {International Journal of Climatology},
	author = {Retchless, David P. and Brewer, Cynthia A.},
	month = mar,
	year = {2016},
	keywords = {READ},
	pages = {1143--1159},
	file = {Full Text:/Users/db/Zotero/storage/ZP6HQVXR/Retchless and Brewer - 2016 - Guidance for representing uncertainty on global te.pdf:application/pdf},
}

@inproceedings{hepburn_we_2021,
	address = {Cardiff, Wales, UK (Online).},
	title = {Do we need legends? {An} eye tracking study},
	copyright = {Creative Commons Attribution 4.0 International, Open Access},
	shorttitle = {Do we need legends?},
	url = {https://zenodo.org/record/4665195},
	doi = {10.5281/ZENODO.4665195},
	abstract = {Within large engineering consultancies, multidisciplinary projects are common, incorporating large volumes of varied and volatile high dimensionality data, often geospatial in nature. Eye tracking is a method used to assess how individuals make decisions using data. Harnessing this technology allows identification of key map and data components used and gives the ability to improve decision making tools within multidisciplinary projects.},
	urldate = {2023-07-03},
	author = {Hepburn, Jess and Fairbairn, David and James, Philip and Ford, Alistair},
	month = apr,
	year = {2021},
	note = {Publisher: Zenodo},
	file = {Hepburn et al. - 2021 - Do we need legends An eye tracking study.pdf:/Users/db/Zotero/storage/GMLM4LLP/Hepburn et al. - 2021 - Do we need legends An eye tracking study.pdf:application/pdf},
}

@article{cromley_ogive-based_2006,
	title = {Ogive-based {Legends} for {Choropleth} {Mapping}},
	volume = {33},
	issn = {1523-0406, 1545-0465},
	url = {http://www.tandfonline.com/doi/abs/10.1559/152304006779500650},
	doi = {10.1559/152304006779500650},
	language = {en},
	number = {4},
	urldate = {2023-07-03},
	journal = {Cartography and Geographic Information Science},
	author = {Cromley, Robert G. and Ye, Yanlin},
	month = jan,
	year = {2006},
	keywords = {READ},
	pages = {257--268},
	file = {Cromley and Ye - 2006 - Ogive-based Legends for Choropleth Mapping.pdf:/Users/db/Zotero/storage/ACZGZJMI/Cromley and Ye - 2006 - Ogive-based Legends for Choropleth Mapping.pdf:application/pdf},
}

@book{kraak_cartography_2013,
	edition = {3},
	title = {Cartography: {Visualisation} of {Spatial} {Data}},
	isbn = {978-1-317-90311-6},
	url = {https://www.taylorfrancis.com/books/9781317903116},
	language = {en},
	urldate = {2023-07-15},
	publisher = {Routledge},
	author = {Kraak, Menno-Jan and Ormeling, F.J.},
	month = nov,
	year = {2013},
	doi = {10.4324/9781315847184},
}

@book{dent_cartography_2009,
	address = {New York},
	edition = {6th ed},
	title = {Cartography: {Thematic} {Map} {Design}},
	isbn = {978-0-07-294382-5},
	shorttitle = {Cartography},
	publisher = {McGraw-Hill Higher Education},
	author = {Dent, Borden D. and Torguson, Jeffrey and Hodler, T. W.},
	year = {2009},
	note = {OCLC: ocn184827987},
}

@article{tobler_choropleth_2010,
	title = {Choropleth {Maps} {Without} {Class} {Intervals}?},
	volume = {5},
	issn = {00167363},
	url = {https://onlinelibrary.wiley.com/doi/10.1111/j.1538-4632.1973.tb01012.x},
	doi = {10.1111/j.1538-4632.1973.tb01012.x},
	language = {en},
	number = {3},
	urldate = {2023-07-15},
	journal = {Geographical Analysis},
	author = {Tobler, W. R.},
	month = sep,
	year = {2010},
	pages = {262--265},
	file = {Full Text:/Users/db/Zotero/storage/WTY3UT8Z/Tobler - 2010 - Choropleth Maps Without Class Intervals.pdf:application/pdf},
}

@article{paul_choropleth_1993,
	title = {Choropleth {Map} {Review}: {A} {Class} {Exercise}},
	volume = {92},
	issn = {0022-1341, 1752-6868},
	shorttitle = {Choropleth {Map} {Review}},
	url = {http://www.tandfonline.com/doi/abs/10.1080/00221349308979658},
	doi = {10.1080/00221349308979658},
	language = {en},
	number = {5},
	urldate = {2023-07-15},
	journal = {Journal of Geography},
	author = {Paul, Bimal Kanti},
	month = sep,
	year = {1993},
	pages = {227--230},
}

@article{jenks_error_1971,
	title = {Error {On} {Choroplethic} {Maps}: {Definition}, {Measurement}, {Reduction}},
	volume = {61},
	issn = {0004-5608, 1467-8306},
	shorttitle = {{ERROR} {ON} {CHOROPLETHIC} {MAPS}},
	url = {http://www.tandfonline.com/doi/abs/10.1111/j.1467-8306.1971.tb00779.x},
	doi = {10.1111/j.1467-8306.1971.tb00779.x},
	language = {en},
	number = {2},
	urldate = {2023-07-16},
	journal = {Annals of the Association of American Geographers},
	author = {Jenks, George F. and Caspall, Fred C.},
	month = jun,
	year = {1971},
	pages = {217--244},
}

@inproceedings{bertini_why_2020,
	address = {Salt Lake City, UT, USA},
	title = {Why {Shouldn}’t {All} {Charts} {Be} {Scatter} {Plots}? {Beyond} {Precision}-{Driven} {Visualizations}},
	isbn = {978-1-72818-014-4},
	shorttitle = {Why {Shouldn}’t {All} {Charts} {Be} {Scatter} {Plots}?},
	url = {https://ieeexplore.ieee.org/document/9331277/},
	doi = {10.1109/VIS47514.2020.00048},
	urldate = {2023-09-14},
	booktitle = {2020 {IEEE} {Visualization} {Conference} ({VIS})},
	publisher = {IEEE},
	author = {Bertini, Enrico and Correll, Michael and Franconeri, Steven},
	month = oct,
	year = {2020},
	pages = {206--210},
	file = {Submitted Version:/Users/db/Zotero/storage/9P67FQJL/Bertini et al. - 2020 - Why Shouldn’t All Charts Be Scatter Plots Beyond .pdf:application/pdf},
}

@book{wickham_ggplot2_2016,
	address = {Cham},
	edition = {2nd ed. 2016},
	series = {Use {R}!},
	title = {ggplot2: {Elegant} {Graphics} for {Data} {Analysis}},
	isbn = {978-3-319-24277-4},
	shorttitle = {ggplot2},
	abstract = {This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to: - produce handsome, publication-quality plots with automatic legends created from the plot specification - superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales - add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression - save any ggplot2 plot (or part thereof) for later modification or reuse - create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots - approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page. New to this edition:{\textless} - Brings the book up-to-date with ggplot2 1.0, including major updates to the theme system - New scales, stats and geoms added throughout - Additional practice exercises - A revised introduction that focuses on ggplot() instead of qplot() - Updated chapters on data and modeling using tidyr, dplyr and broom},
	publisher = {Springer International Publishing : Imprint: Springer},
	author = {Wickham, Hadley},
	year = {2016},
	doi = {10.1007/978-3-319-24277-4},
	file = {Submitted Version:/Users/db/Zotero/storage/I5IKX9ZN/Wickham - 2016 - ggplot2 Elegant Graphics for Data Analysis.pdf:application/pdf},
}