colorSpec-package | R Documentation |
Package colorSpec is for working with spectral color data in R.
Features:
a clear classification of the commonly seen spectra into 4 types - depending on the vector space to which they belong
flexible organization for the spectra in memory, using an S3 class - colorSpec
a product algebra for the colorSpec objects
uniform handling of biological eyes, electronic cameras, and general action spectra
a few advanced calculations, such as computing optimal colors (aka Macadam Limits)
inverse colorimetry, e.g. reflectance recovery from response
built-in essential tables, such as the CIE illuminants and color matching functions
a package logging system with log levels taken from the popular Log4J
support for reading a few spectrum file types, including CGATS
bonus files containing some other interesting spectra
minimal dependencies on other R packages
Non-features:
there is no support for many common 3D color spaces, such as CIELAB, HSL, etc.. For these spaces see packages colorspace, colorscience, spacesRGB, and spacesXYZ.
there are few non-linear operations
there is little support for scientific units; for these see package colorscience
photons are parameterized by wavelength in nanometers; other wavelength units (such as Angstrom and micron) and alternative parameterizations (such as wavenumber and electronvolt) are not available
Regarding the non-linear operations in 2,
the only such operations are conversion of linear RGB to display RGB,
conversion of absorbance to transmittance,
and the reparameterized wavelength in computeADL
.
The electronic camera model is purely linear
with no dark current offset or other deviations.
Many ideas are taken from packages hyperSpec, hsdar, pavo, and zoo.
Glenn Davis <gdavis@gluonics.com>
colorSpec
for the S3 class provided by this package.
colorSpec User Guide
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.