RFplus: Progressive Bias Correction of Satellite Environmental Data

Implements a bias correction method that combines Random Forest models with Quantile Mapping to improve the accuracy of satellite-derived environmental datasets. The model corrects biases in meteorological variables, such as precipitation and temperature, by integrating in situ measurements and a Digital Elevation Model (DEM).

Version:	1.2-2
Depends:	R (≥ 4.4.0)
Imports:	terra, randomForest, data.table, dplyr, pbapply, qmap
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2025-02-04
DOI:	10.32614/CRAN.package.RFplus
Author:	Jonnathan Augusto Landi Bermeo [aut, cre, cph]
Maintainer:	Jonnathan Augusto Landi Bermeo <jonnathan.landi at outlook.com>
BugReports:	https://github.com/Jonnathan-Landi/RFplus/issues
License:	GPL (≥ 3)
URL:	https://github.com/Jonnathan-Landi/RFplus
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	RFplus results

Documentation:

Reference manual:	RFplus.pdf
Vignettes:	Progressive Bias Correction of Satellite Environmental Data using RFplus (source, R code)

Downloads:

Package source:	RFplus_1.2-2.tar.gz
Windows binaries:	r-devel: RFplus_1.2-2.zip, r-release: RFplus_1.2-2.zip, r-oldrel: not available
macOS binaries:	r-devel (arm64): RFplus_1.2-2.tgz, r-release (arm64): RFplus_1.2-2.tgz, r-oldrel (arm64): not available, r-devel (x86_64): RFplus_1.2-2.tgz, r-release (x86_64): RFplus_1.2-2.tgz, r-oldrel (x86_64): not available

Linking:

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