The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Graphical Perception and Graphical Methods for Analyzing Scientific Data
Abstract
Graphical perception is the visual decoding of the quantitative and qualitative information encoded on graphs. Recent investigations have uncovered basic principles of human graphical perception that have important implications for the display of data. The computer graphics revolution has stimulated the invention of many graphical methods for analyzing and presenting scientific data, such as box plots, two-tiered error bars, scatterplot smoothing, dot charts, and graphing on a log base 2 scale.
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Citations
Cites
Textons, the elements of texture perception, and their interactions
Julesz, B. (1981) · Nature · doi:10.1038/290091a0 · Cited by 1,703
Cited by
Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature*
Vessey, I. (1991) · Decision Sciences · doi:10.1111/j.1540-5915.1991.tb00344.x · Cited by 1,263
Kirsh, D. (1995) · Artificial Intelligence · doi:10.1016/0004-3702(94)00017-u · Cited by 935
Making Sense of Graphs: Critical Factors Influencing Comprehension and Instructional Implications
Friel, S. N., Curcio, F. R., & Bright, G. W. (2001) · Journal for Research in Mathematics Education · doi:10.2307/749671 · Cited by 819
Visualizing Uncertainty About the Future
Spiegelhalter, D., Pearson, M., & Short, I. (2011) · Science · doi:10.1126/science.1191181 · Cited by 682
Design Features of Graphs in Health Risk Communication: A Systematic Review
Ancker, J. S., Senathirajah, Y., Kukafka, R., & Starren, J. B. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2115 · Cited by 548
Metadata
- Authors
- Cleveland, W. S., & McGill, R.
- Venue
- Science
- Published
- 1985-08-30
- Volume
- 229
- Issue
- 4716
- Pages
- 828-833
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2017756939
- Cited by
- 574
- References
- 1
- FWCI
- 12.88
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
