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RFmerge
View on CRAN: Click
here
Download and install RFmerge package within the R console
Install from CRAN:
install.packages("RFmerge")
Install from Github:
library("remotes")
install_github("cran/RFmerge")
Install by package version:
library("remotes")
install_version("RFmerge", "0.1-10")
Attach the package and use:
library("RFmerge")
Maintained by
Mauricio Zambrano-Bigiarini
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-09
Latest Update: 2023-02-25
Description:
S3 implementation of the Random Forest MErging Procedure RF-MEP which combines two or more satellite-based datasets e.g. precipitation products topography with ground observations to produce a new dataset with improved spatio-temporal distribution of the target field. In particular this package was developed to merge different Satellite-based Rainfall Estimates SREs with measurements from rain gauges in order to obtain a new precipitation dataset where the time series in the rain gauges are used to correct different types of errors present in the SREs. However this package might be used to merge other hydrologicalenvironmental satellite fields with point observations. For details see Baez-Villanueva et al. 2020 doi10.1016j.rse.2019.111606. Bugs comments questions collaboration of any kind are very welcomed.
How to cite:
Mauricio Zambrano-Bigiarini (2020). RFmerge: Merging of Satellite Datasets with Ground Observations using
Random Forests. R package version 0.1-10, https://cran.r-project.org/web/packages/RFmerge
Other packages that cited RFmerge R package
View RFmerge citation profile
Other R packages that RFmerge depends,
imports, suggests or enhances
Functions, R codes and Examples using
the RFmerge R package
Some associated functions: RFmerge-package . RFmerge . ValparaisoPPgis . ValparaisoPPts . ValparaisoSHP .
Some associated R codes: RFmerge.R . buffer_dist.R . zl.R . Full RFmerge package functions and examples
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