{
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  "Package": "pavo",
  "Title": "Perceptual Analysis, Visualization and Organization of Spectral\nColour Data",
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  "Description": "A cohesive framework for the spectral and spatial analysis\nof colour described in Maia, Eliason, Bitton, Doucet & Shawkey\n(2013) <doi:10.1111/2041-210X.12069> and Maia, Gruson, Endler &\nWhite (2019) <doi:10.1111/2041-210X.13174>.",
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  "Repository": "https://rmaia.r-universe.dev",
  "Date/Publication": "2026-03-29 15:24:00 UTC",
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    "spec2rgb",
    "tcspace",
    "tcsplot",
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    "vismodel",
    "vol",
    "voloverlap"
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      "title": "Reflectance spectra from a suite of native Australian flowers, collected around Cairns, Queensland.",
      "object": "flowers",
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      "class": [
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        "Xyris_operculata",
        "Eucalyptus_sp",
        "Faradaya_splendida",
        "Gaultheria_hispida",
        "Geitonoplesium_cymosum",
        "Euryomyrtus_ramosissima",
        "Genista_linifolia",
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        "Geranium_sp",
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        "Gompholobium_ecostatum_1",
        "Gompholobium_ecostatum_2",
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        "Grevillea_buxifolia",
        "Grevillea_steiglitziana",
        "Grevillea_oleoides",
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        "Hardenbergia_violaceae",
        "Hibbertia_acicularis",
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        "Acrecca-05",
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      "title": "Run an adjacency and boundary strength analysis",
      "topics": [
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    },
    {
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      "title": "Plot aggregated reflectance spectra",
      "topics": [
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      "title": "Aggregate reflectance spectra",
      "topics": [
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      "page": "as.rimg",
      "title": "Convert data to an rimg object",
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        "as.rimg.cimg",
        "as.rimg.default",
        "is.rimg"
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      "title": "Plot reference axes in a static tetrahedral colourspace",
      "topics": [
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    {
      "page": "bootcoldist",
      "title": "Bootstrap colour distance confidence intervals",
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    {
      "page": "classify",
      "title": "Identify colour classes in an image for adjacency analyses",
      "topics": [
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    },
    {
      "page": "coldist",
      "title": "Colour distances",
      "topics": [
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    },
    {
      "page": "colspace",
      "title": "Model spectra in a colorspace",
      "topics": [
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      "page": "explorespec",
      "title": "Plot spectral curves",
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      "topics": [
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      "page": "getimg",
      "title": "Import image data",
      "topics": [
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      "page": "getspec",
      "title": "Import spectra files",
      "topics": [
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        "img_conversion",
        "rimg2magick"
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        "irrad2flux"
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      "page": "is.colspace",
      "title": "Test if object is of class 'colspace'",
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      "page": "jnd2xyz",
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      "topics": [
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    },
    {
      "page": "legendtetra",
      "title": "Add legend to a static tetrahedral colourspace",
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      "page": "merge.rspec",
      "title": "Merge two rspec objects",
      "topics": [
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      "page": "peakshape",
      "title": "Peak shape descriptors",
      "topics": [
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    },
    {
      "page": "plot.colspace",
      "title": "Plot spectra in a colourspace",
      "topics": [
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    },
    {
      "page": "plot.rimg",
      "title": "Plot unprocessed or colour-classified images",
      "topics": [
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    {
      "page": "plot.rspec",
      "title": "Plot spectra",
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    {
      "page": "plot.sensmod",
      "title": "Plot absorbance spectra from 'sensmodel()'",
      "topics": [
        "plot.sensmod"
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    {
      "page": "plotsmooth",
      "title": "Plot loess smoothed curves",
      "topics": [
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    },
    {
      "page": "points.colspace",
      "title": "Plot points in a colourspace",
      "topics": [
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    },
    {
      "page": "procimg",
      "title": "Process images",
      "topics": [
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    },
    {
      "page": "procspec",
      "title": "Process spectra",
      "topics": [
        "procspec"
      ]
    },
    {
      "page": "projplot",
      "title": "2D projection of a tetrahedral colourspace",
      "topics": [
        "projplot",
        "projpoints"
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    },
    {
      "page": "sensdata",
      "title": "Retrieve or plot in-built spectral sensitivity data",
      "topics": [
        "sensdata"
      ]
    },
    {
      "page": "sensmodel",
      "title": "Modeling spectral sensitivity",
      "topics": [
        "sensmodel"
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    },
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