TY - JOUR
T1 - Escaping RGBland: Selecting colors for statistical graphics
AU - Zeileis, Achim
AU - Hornik, Kurt
AU - Murrell, Paul
PY - 2009/5/1
Y1 - 2009/5/1
N2 - 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 heatmapsit is important that the colors are perceptually based and do not introduce optical illusions or systematic bias. Based on the perceptually-based Hue-Chroma-Luminance (HCL) color space suitable color palettes are derived for coding categorical data (qualitative palettes) and numerical variables (sequential and diverging palettes).
AB - 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 heatmapsit is important that the colors are perceptually based and do not introduce optical illusions or systematic bias. Based on the perceptually-based Hue-Chroma-Luminance (HCL) color space suitable color palettes are derived for coding categorical data (qualitative palettes) and numerical variables (sequential and diverging palettes).
UR - http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V8V-4VM43VH-1&_user=464393&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000022138&_version=1&_urlVersion=0&_userid=464393&md5=b92bbc9fdcd7ab2d8ae61c3c833cc574
M3 - Journal article
SN - 0167-9473
VL - 53
SP - 3259
EP - 3270
JO - Computational Statistics and Data Analysis
JF - Computational Statistics and Data Analysis
IS - 9
ER -