@techreport{4d8967fb4ba94322b96cb31898c52750,
title = "Escaping RGBland: Selecting Colors for Statistical Graphics",
abstract = "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).",
author = "Achim Zeileis and Kurt Hornik and Paul Murrell",
year = "2007",
doi = "10.57938/4d8967fb-4ba9-4322-b96c-b31898c52750",
language = "English",
series = "Research Report Series / Department of Statistics and Mathematics",
number = "61",
publisher = "Department of Statistics and Mathematics, WU Vienna University of Economics and Business",
edition = "November 2007",
type = "WorkingPaper",
institution = "Department of Statistics and Mathematics, WU Vienna University of Economics and Business",
}