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DESCRIPTION
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47 lines (47 loc) · 1.54 KB
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Package: autoSpectra
Title: Soil Spectral Modeling, Visualization and Prediction
Version: 0.3.0
Authors@R: person(given = "Hugo",
family = "Rodrigues",
role = c("aut", "cre"),
email = "autospectra@example.com",
comment = c(ORCID = "0000-0002-8070-8126"))
Description: An integrated platform for soil spectroscopy modeling,
visualization, and prediction. Supports VisNIR (350-2500 nm) and MIR
(600-4000 cm-1) spectra. Downloads and leverages the Open Soil
Spectral Library (OSSL v1.2) to train sensor-agnostic soilVAE
(true Variational Autoencoder) models for all major soil properties.
Preprocessing follows the two-step Savitzky-Golay pipeline: SG smooth
followed by SG 1st derivative. Includes a Shiny interface for
interactive prediction and visualization.
License: MIT + file LICENSE
URL: https://HugoMachadoRodrigues.github.io/autoSpectra/, https://github.com/HugoMachadoRodrigues/autoSpectra
BugReports: https://github.com/HugoMachadoRodrigues/autoSpectra/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends:
R (>= 4.1.0)
Imports:
shiny (>= 1.7.0),
shinyWidgets (>= 0.7.0),
ggplot2 (>= 3.4.0),
MASS,
prospectr (>= 0.2.6),
jsonlite (>= 1.8.0),
httr (>= 1.4.0),
data.table (>= 1.14.0),
stats,
tools,
utils
Suggests:
dplyr (>= 1.1.0),
readxl (>= 1.4.0),
readr (>= 2.1.0),
DT (>= 0.28),
keras3 (>= 1.0.0),
reticulate (>= 1.30.0),
tensorflow (>= 2.11.0),
qs2 (>= 0.1.0),
writexl (>= 1.4.0),
testthat (>= 3.0.0)