Escaping RGBland: Selecting colors for statistical graphics
نویسندگان
چکیده
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 کاملSelecting Semantically-Resonant Colors for Data Visualization
We introduce an algorithm for automatic selection of semantically-resonant colors to represent data (e.g., using blue for data about “oceans”, or pink for “love”). Given a set of categorical values and a target color palette, our algorithm matches each data value with a unique color. Values are mapped to colors by collecting representative images, analyzing image color distributions to determin...
متن کاملStatistical Graphics for Survey Weights
Ponderación de la muestra se utilizan para corregir las diferencias conocidas entre la muestra y la población debido al diseño de la muestra, la falta de respuesta, la falta de cobertura, y otros factores. Sin embargo, consideraciones prácticas a menudo resultan en pesos que no se han construido de una manera sistemática. Los métodos gráficos pueden ser útiles en la comprensión de ponderaciones...
متن کاملA 3D Interface for Selecting Household Paint Colors
Commercially available tools for searching collections of paint colors are critically examined and a new computer interface for selecting household paint colors is proposed. The new system is organized according to a perceptual color space and uses modeless, constrained, in-place, 3D interaction. Two user studies are performed to evaluate this system and the results are discussed. These studies...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2009
ISSN: 0167-9473
DOI: 10.1016/j.csda.2008.11.033