hyperSpec: spc-loess – R documentation

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spc-loess

loess smoothing interpolation for spectra Spectra can be smoothed and interpolated on a new wavelength axis using loess.

Description

Applying loess to each of the spectra, an interpolation onto a new wavelength axis is performed. At the same time, the specta are smoothed in order to increase the signal : noise ratio. See loess and loess.control on the parameters that control the amount of smoothing.

Usage

spc.loess(spc, newx, enp.target = nwl(spc)/4, surface = "direct", ...)

Arguments

`spc`	the `hyperSpec` object
`newx`	wavelengh axis to interpolate on
`enp.target, surface, ...`	parameters for `loess` and `loess.control`.

Value

a new hyperspec object.

Author(s)

C. Beleites

Examples

plot (flu, col = "darkgray")
plot (spc.loess(flu, seq (420, 470, 5)), add = TRUE, col = "red")

flu [[3, ]] <- NA_real_
smooth <- spc.loess(flu, seq (420, 470, 5))
smooth [[, ]]
plot (smooth, add = TRUE, col = "blue")

hyperSpec

Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)

v0.100.0

GPL (>= 3)

Authors

Claudia Beleites [aut, cre, dtc] (<https://orcid.org/0000-0003-1626-154X>), Valter Sergo [aut], Alois Bonifacio [ctb, dtc], Marcel Dahms [ctb], Björn Egert [ctb], Simon Fuller [ctb], Vilmantas Gegzna [ctb], Rustam Guliev [ctb], Bryan A. Hanson [ctb], Michael Hermes [ctb], Martin Kammer [dtc], Roman Kiselev [ctb], Sebastian Mellor [ctb]

Initial release

2021-09-13