Creating figures in R that meet the AFS style guide: Standardization and supporting script
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Abstract
Visual display of information in scientific and non‐scientific literature is the most efficient way to summarize large amounts data, focus the readers’ attention on patterns, and substantiate the message in the narrative. Figures often represent years of data collection and substantial monetary investment, and it is worth repeating the cliché “a [figure] is worth a thousand words.” Well‐designed figures are usually simple, yet their ability to relate complex information through simplicity makes them powerful (Tufte 2001). Figures are often the focal point of articles when scientists, science communicators, and policy makers are quickly searching for scientific information. Scientists in academia ranked figures and tables as the most important component of research articles (Hubbard and Dunbar 2017); moreover, figures quickly become the focus when discussing articles among colleagues or in a classroom setting. If created effectively in combination with a well‐articulated figure caption, figures convey complex information readily for the reader to make a conclusion about results without reading details presented in the narrative. This is especially important as the quantity of research articles continues to increase exponentially in the 21st century, as does the number of journals with specific figure guidelines (Jinha 2010).
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Creating figures in R that meet the AFS style guide: Standardization and supporting script |
| Series title | Fisheries Magazine |
| DOI | 10.1002/fsh.10272 |
| Volume | 44 |
| Issue | 11 |
| Year Published | 2019 |
| Language | English |
| Publisher | American Fisheries Society |
| Contributing office(s) | Coop Res Unit Seattle |
| Description | 6 p. |
| First page | 539 |
| Last page | 544 |
| Google Analytic Metrics | Metrics page |