colorSpec (version 0.5-2)

daylight: Standard Daylight Components

Description

ll{ daylight1964 spectral components $S_0, S_1, S_2$; from 300 to 830 nm at 5 nm intervals daylight2013 smoothed spectral components $S_0, S_1, S_2$; from 300 to 830 nm at 1 nm intervals }

encoding

UTF-8

format

Each is a colorSpec object organized as a matrix with 3 columns ll{ {S0} component 0, the mean power spectrum} S1

tab

• component 1, the 1st characteristic spectrum
• component 2, the 2nd characteristic spectrum

cr

• S2

source

http://www.cie.co.at/publ/abst/datatables15_2004/CIE_sel_colorimetric_tables.xls http://vision.vein.hu/~schanda/CIE%20TC1-74/

References

Günther Wyszecki and W.S. Stiles. Color Science : Concepts and Methods, Quantitative Data and Formulae. Second Edition. Wiley-Interscience. 1982. Table V(3.3.4) p. 762. Smoothing spectral power distribution of daylights. Zsolt Kosztyan and Janos Schanda. Color Research & Application. Volume 38, Issue 5, pages 316-321, October 2013. CIE 15: Technical Report: Colorimetry, 3rd edition. CIE 15:2004. Table T.2, pp 33-34 JUDD, D.B., MACADAM, D.L. and WYSZECKI, G., with the collaboration of BUDDE, H.W, CONDIT, H.R, HENDERSON, S.T, and SIMONDS, J.L. Spectral distribution of typical daylight as a function of correlated color temperature. J Opt. Soc. Am. 54, 1031-1040, 1964. Zsolt Kosztyan and Janos Schanda. Smoothing spectral power distribution of daylights. Color Research & Application. Volume 38, Issue 5, pages 316-321, October 2013.

See Also

D65, D50, daylightSpectra

Examples

summary( daylight1964 )
day1964 = daylightSpectra( c(5000,6500), comp=daylight1964 )
day2013 = daylightSpectra( c(5000,6500), comp=daylight2013 )

plot( day1964, col='black' )
plot( day2013, col='black', add=TRUE )