Choosing Color Palettes for Statistical Graphics
نویسندگان
چکیده
Statistical graphics are often augmented by the use of color coding information contained in some variable. When this involves the shading of areas (and not only points or lines)— e.g., as in bar plots, pie charts, mosaic displays or heatmaps—it is important that the colors are perceptually based and do not introduce optical illusions or systematic bias. Here, we discuss how the perceptually-based Hue-Chroma-Luminance (HCL) color space can be used for deriving suitable color palettes for coding categorical data (qualitative palettes) and numerical variables (sequential and diverging palettes).
منابع مشابه
Escaping RGBland: Selecting colors for statistical graphics
Statistical graphics are often augmented by the use of color coding information contained in some variable. When this involves the shading of areas (and not only points or lines)— e.g., as in bar plots, pie charts, mosaic displays or heatmaps—it is important that the colors are perceptually based and do not introduce optical illusions or systematic bias. Based on the perceptually-based Hue-Chro...
متن کاملColor Orchestra: Ordering Color Palettes for Interpolation and Prediction
Color theme or color palette can deeply influence the quality and the feeling of a photograph or a graphical design. Although color palettes may come from different sources such as online crowd-sourcing, photographs and graphical designs, in this paper, we consider color palettes extracted from fine art collections, which we believe to be an abundant source of stylistic and unique color themes....
متن کاملHCL-Based Color Palettes in R
The package colorspace provides various functions providing perceptually-based color palettes for coding categorical data (qualitative palettes) and numerical variables (sequential and diverging palettes). We illustrate how these functions can be employed to generate various flavours of these palettes (with different emphases) and how they can be plugged into R graphics functions.
متن کاملAutomatic Color Palette Creation from Words
We present an automatic framework to extract color palettes from words. This is a novel approach in comparison to existing solutions, e.g. manual creation or extraction from images. The associations between words and colors are deduced from a large database of 6 million tagged images using a scalable data-mining technique. The palette creation can be constrained by the user to achieve a desired...
متن کاملColor relations increase the capacity of visual short-term memory.
Do color relations such as similarity or harmony influence the ease with which colored patterns can be perceived and held in mind? We tested the influence of a relation supported in research on color harmony--similarity of hue--on the capacity of visual short-term memory (VSTM) for colors in patterns. Palettes of 4 similar-hue colors were rated as more pleasant (harmonious) than dissimilar-colo...
متن کامل