Dear all,

RFmerge is an R package designed to merge gridded datasets with in situ
observations using Random Forest as the core spatial prediction algorithm.
The method incorporates spatial covariates such as topographic attributes
and Euclidean distances, among others, to improve the accuracy and spatial
consistency of the merged estimates.

In February 2023, the RFmerge package was removed from CRAN because we did
not resolve several issues related to the retirement of rgdal and rgeos (
https://r-spatial.org/r/2022/04/12/evolution.html), which were used in
RFmerge 0.1-6 together with the raster package.

By July 2023, these issues were addressed, in time for a short technical
course organized by SISSA (https://sissa.crc-sas.org/). Unfortunately, this
updated version of the package (v0.2-0) was not submitted to CRAN at the
time, due to time constraints affecting the development team.

Now, a new version of RFmerge (v0.3-3) has been released on May 8, 2026,
and is available on CRAN: https://cran.r-project.org/package=RFmerge.

Key new features include:

- Migration to the terra package, which supersedes raster. This represents
a major change and results in a substantial improvement in computational
performance.

- Support for multi-core processing and distributed computing environments
via the parallel package.

- An updated vignette:

  > Zambrano-Bigiarini, M., Baez-Villanueva, O. M., Giraldo-Osorio, J. D.,
& McNamara, I. (2026). *Tutorial for merging satellite-based precipitation
datasets with ground observations using RFmerge (>=0.3-0)*. Zenodo.
https://doi.org/10.5281/zenodo.20061104.

- A new graphical logo.

- A new project website built with pkgdown: http://mzb.cl/RFmerge/.

- The package DOI was updated in June 2024 from the Zotero-assigned
identifier to the CRAN DOI: https://doi.org/10.32614/CRAN.package.RFmerge.

- A complete list of changes is available at:
https://cran.r-project.org/web/packages/RFmerge/news/news.html


I hope you find this new version useful and enjoy it !


Mauricio Zambrano-Bigiarini, PhD
Associate Professor, Universidad de La Frontera
Associate Researcher, (CR)2 FONDAP Center
Phone: +56 45 259 2812 <+56+45+259+2812>
e-mail: [email protected]
[image: webpage] <https://hzambran.github.io/> [image: ORCID]
<https://orcid.org/0000-0002-9536-643X> [image: Github]
<https://github.com/hzambran> [image: Linkedin]
<http://www.linkedin.com/in/hzambran/>

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