Package: RFplus 1.3-0

Jonnathan Augusto Landi Bermeo

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).

Authors:Jonnathan Landi [aut, cre, cph], Alex Avilés [aut], Darío Zhiña [aut], Marco Mogro [aut]

RFplus_1.3-0.tar.gz
RFplus_1.3-0.zip(r-4.5)RFplus_1.3-0.zip(r-4.4)
RFplus_1.3-0.tgz(r-4.5-any)RFplus_1.3-0.tgz(r-4.4-any)
RFplus_1.3-0.tar.gz(r-4.5-noble)RFplus_1.3-0.tar.gz(r-4.4-noble)
RFplus_1.3-0.tgz(r-4.4-emscripten)
RFplus.pdf |RFplus.html✨
RFplus/json (API)
NEWS

# Install 'RFplus' in R:
install.packages('RFplus', repos = c('https://jonnathan-landi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jonnathan-landi/rfplus/issues

Datasets:
  • BD_Insitu - Precipitation Station Measurement Dataset
  • Cords_Insitu - Precipitation Station Coordinates Dataset

On CRAN:

4.48 score 3 scripts 75 downloads 1 exports 21 dependencies

Last updated 9 days agofrom:6bd41cbc59. Checks:5 OK, 1 FAILURE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 12 2025
R-4.5-winOKFeb 12 2025
R-4.5-macOUTDATEDFeb 06 2025
R-4.5-linuxOKFeb 12 2025
R-4.4-winOKFeb 12 2025
R-4.4-macOKFeb 12 2025

Exports:RFplus

Dependencies:classclassIntdata.tablee1071fitdistrplushydroGOFhydroTSMKernSmoothlatticeMASSMatrixpbapplyproxyqmaprandomForestRcpprlangsurvivalterraxtszoo

Progressive Bias Correction of Satellite Environmental Data using RFplus

Jonnathan Augusto Landi Bermeo

Rendered fromRFplus.Rmdusingknitr::rmarkdownon Feb 12 2025.

Last update: 2025-02-03
Started: 2025-02-02