pavo2.9.0 package

Perceptual Analysis, Visualization and Organization of Spectral Colour Data

adjacent

Run an adjacency and boundary strength analysis

aggplot

Plot aggregated reflectance spectra

aggspec

Aggregate reflectance spectra

as.rimg

Convert data to an rimg object

as.rspec

Convert data to an rspec object

axistetra

Plot reference axes in a static tetrahedral colourspace

bgandilum

Default background and illuminant data

bootcoldist

Bootstrap colour distance confidence intervals

categorical

Categorical fly-visual model

catplot

Plot the categorical colour vision model

cie

CIE colour spaces

cieplot

CIE plot

classify

Identify colour classes in an image for adjacency analyses

coc

Color opponent coding model

cocplot

Plot the colour opponent coding diagram

coldist

Colour distances

coldist2mat

Convert coldist to distance matrix

colspace

Model spectra in a colorspace

diplot

Plot a dichromat segment

dispace

Dichromatic colour space

explorespec

Plot spectral curves

find_astar

Compute the alphaalpha* value

getimg

Import image data

getspec

Import spectra files

hexagon

Colour hexagon

hexplot

Plot a colour hexagon

img_conversion

Convert images between class rimg and cimg or magick-image

irrad2flux

Converts between irradiance and photon (quantum) flux

is.colspace

Test if object is of class 'colspace'

is.vismodel

Test if object is of class 'vismodel'

jnd2xyz

Convert JND distances into perceptually-corrected Cartesian coordinate...

jndplot

Perceptually-corrected chromaticity diagrams

jndrot

Rotate Cartesian coordinates obtained from jnd2xyz()

legendtetra

Add legend to a static tetrahedral colourspace

merge.rspec

Merge two rspec objects

pavo-package

pavo: Perceptual Analysis, Visualization and Organization of Spectral ...

peakshape

Peak shape descriptors

plot.colspace

Plot spectra in a colourspace

plot.rimg

Plot unprocessed or colour-classified images

plot.rspec

Plot spectra

plot.sensmod

Plot absorbance spectra from sensmodel()

plotsmooth

Plot loess smoothed curves

points.colspace

Plot points in a colourspace

procimg

Process images

procspec

Process spectra

projplot

2D projection of a tetrahedral colourspace

segplot

Plot the segment-analysis model

segspace

Segment classification

sensdata

Retrieve or plot in-built spectral sensitivity data

sensmodel

Modeling spectral sensitivity

simulate_spec

Simulate a spectrum

spec2rgb

Spectrum to rgb colour conversion

subset.rspec

Subset rspec, vismodel, and colspace objects

summary.colspace

Colourspace data summary

summary.rimg

Image summary

summary.rspec

Colourimetric variables

summary.vismodel

Visual model summary

tcspace

Tetrahedral colourspace

tcsplot

Interactive plot of a tetrahedral colourspace

tetraplot

Plot a static tetrahedral colorspace

transmissiondata

Default ocular transmission data

triplot

Plot a Maxwell triangle

trispace

Trichromatic colour space

ttvertex

vertex for the tetrahedral color space

vismodel

Visual models

vissyst

Animal visual systems data

vol

Plot a tetrahedral colour space

voloverlap

Colour volume overlap

A cohesive framework for the spectral and spatial analysis of colour described in Maia, Eliason, Bitton, Doucet & Shawkey (2013) <doi:10.1111/2041-210X.12069> and Maia, Gruson, Endler & White (2019) <doi:10.1111/2041-210X.13174>.

  • Maintainer: Thomas White
  • License: GPL (>= 2)
  • Last published: 2023-09-24