A Layered Grammar of Graphics
By Hadley Wickham. 2010
336 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Michael C. Sachs
- David J. Kahle
- Jeffrey Heer
- Andrew Rambaut
- Arvind Satyanarayan
- Dominik Moritz
- Kanit Wongsuphasawat
- Tom R. Marshall
In Computer Vision and Pattern Recognition
- Michael C. Sachs
- Dominik Moritz
- Jeffrey Heer
- Kanit Wongsuphasawat
- Arvind Satyanarayan
- David J. Kahle
- Tom R. Marshall
- Rogier A. Kievit
In Statistics and Probability
- Michael C. Sachs
- David J. Kahle
- Andrew Rambaut
- Jeffrey Heer
- Dominik Moritz
- Arvind Satyanarayan
- Kanit Wongsuphasawat
- Tom R. Marshall
Citations in the corpus
- Scientific Benchmarks for Guiding Macromolecular Energy Function Improvement (2013, methodology): “Once a collection of feature distributions have been estimated, they can be visualized through the grammar of graphics method (Wilkinson, 1999; Wickham, 2010).”
- ggmap: Spatial Visualization with ggplot2 (2013, methodology): “CloudMade Maps takes the tile styling even further by allowing the user to either (1) select among thousands of user-made sets or (2) create an entirely new style with a simple online editor where the user can specify colors, lines, and so forth for various types of roads, waterways, landmarks, etc.”
- Application of ggplot2 to Pharmacometric Graphics (2013, neutral): “p <- ggplot(data=d6a, aes(x=PRED, y=WRES)) + geom_point(shape=1) + geom_hline(yintercept = 0, color=“red”) + eom_hline(yintercept = c(5,5),linetype = 2)”
- ggtern: Ternary Diagrams Using ggplot2 (2018, background): “…2005) and rigorously enforces Wilkinson’s series of grammatical rules for creating perceivable graphs, therefore, by using ggplot2 as a basis for the present work, we inherit this compelling philosophy, perhaps, from time-to-time, allowing the user to create graphical poetry (Wickham 2010).”
- plotROC: A Tool for Plotting ROC Curves (2017, methodology): “For further discussion and details of the grammar of graphics as implemented in ggplot2 , I refer readers to Wickham (2010) and the ggplot2 vignettes.”
- Vega-Lite: A Grammar of Interactive Graphics (2018, methodology): “Hadley Wickham’s popular ggplot2 [27] and ggvis [20] packages implement variants of Wilkin-son’s model in the R statistical language.”
- SpreaD3: Interactive Visualization of Spatiotemporal History and Trait Evolutionary Processes. (2016, methodology): “In the the user has interactive control over different visualization components based on the grammar of graphics (Wilkinson 2005; Wickham 2010).”
- ECharts: A declarative framework for rapid construction of web-based visualization (2018, neutral): “more customization for users, such as Tableau[12] (formerly Polaris [13]), ggplot2 [14, 15], and ggivs[16].”
- Raincloud plots: a multi-platform tool for robust data visualization (2018, methodology): “With the advent of increasingly flexible and modular plotting tools such as ggplot2 (Wickham, 2010; Wickham & Chang, 2008), all of the aforementioned techniques can be combined in a complementary fashion.”