Comfortable ways to work with hyperspectral data sets. I.e. spatially or time-resolved spectra, or spectra with any other kind of information associated with each of the spectra. The spectra can be data as obtained in XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS, etc. More generally, any data that is recorded over a discretized variable, e.g. absorbance = f (wavelength), stored as a vector of absorbance values for discrete wavelengths is suitable.
|Author||Claudia Beleites [aut, cre, dtc], Valter Sergo [aut], Alois Bonifacio [ctb, dtc], Marcel Dahms [ctb], Björn Egert [ctb], Simon Fuller [ctb], Vilmantas Gegzna [ctb], Rustam Guliev [ctb], Bryan Hanson [ctb], Michael Hermes [ctb], Martin Kammer [dtc], Roman Kiselev [ctb], Sebastian Mellor [ctb]|
|Date of publication||2018-06-28 19:47:59 UTC|
|Maintainer||Claudia Beleites <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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