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
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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 |
Reference manual: | RFplus.pdf |
Vignettes: |
Progressive Bias Correction of Satellite Environmental Data using RFplus (source, R code) |
Package source: | RFplus_1.2-2.tar.gz |
Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
macOS binaries: | r-release (arm64): RFplus_1.2-2.tgz, r-oldrel (arm64): not available, r-release (x86_64): RFplus_1.2-2.tgz, r-oldrel (x86_64): not available |
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