R Observatory: Metrics for spatialRF version 1.1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

spatialRF

1.1.5

Easy Spatial Modeling with Random Forest

0packages depend

6.8Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Blas M. BenitoFirst published 2021-09-233 releasesCRAN page ↗GitHub ↗

Automatic generation and selection of spatial predictors for Random Forest models fitted to spatially structured data. Spatial predictors are constructed from a distance matrix among training samples using Moran's Eigenvector Maps (MEMs; Dray, Legendre, and Peres-Neto 2006 DOI:10.1016/j.ecolmodel.2006.02.015) or the RFsp approach (Hengl et al. DOI:10.7717/peerj.5518). These predictors are used alongside user-supplied explanatory variables in Random Forest models. The package provides functions for model fitting, multicollinearity reduction, interaction identification, hyperparameter tuning, evaluation via spatial cross-validation, and result visualization using partial dependence and interaction plots. Model fitting relies on the 'ranger' package (Wright and Ziegler 2017 DOI:10.18637/jss.v077.i01).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("spatialRF", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("BlasBenito/spatialRF")

Development version from BlasBenito/spatialRF. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-spatialrf

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-spatialRF

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-spatialRF

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 9.4 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

98%

Documentation · exports

15

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 97%
Documented parameters: 94%
Return-value docs: 100%
References docs: 0%

Downloads

6.8K

CRAN downloads in the past year

Rank #7,363 · ~19/day · ~569/mo

Releases R versions

Daily download trend is not available in this view yet.

29930 days

1.2K90 days

6.8K1 year

Compare downloads with other packages →

Also on230 r2u32 autocran

Repository

GitHub ↗ blasbenito/spatialrf

125Stars

18Forks

0Open issues

0Open PRs

4Releases

490Commits

1Contributors

spatial-regressionrandom-forestspatial-analysis

490 commits · Last activity 2026-07-15 · +0.8% stars, 30d

Stars over time

2025-05-14 · 1152026-08-11 · 125

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/blasbenito/spatialrf on 2026-08-23.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (15)

dplyr ggplot2 magrittrstatstibbleutilsforeach doParallel ranger rlang tidyr tidyselect huxtable (>= 5.8.0)patchwork viridis

LinkingTo (0)

none

Suggests (2)

testthat spelling

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Blas M. Benito

Author, Maintainer, Copyright holder

Authors (1)

Blas M. Benito

Author, Maintainer, Copyright holder

Copyright holders (1)

Blas M. Benito

Author, Maintainer, Copyright holder

Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.1.5Latest
2025-12-20 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.1.4
2022-08-19 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.1.3
2021-09-23
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-09-23
Total releases: 3 / 5 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 942 KB / 7 files
Download size: 3.4 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Analysis of Spatial Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("spatialRF")

Format

Benito, B. M. (2025). spatialRF: Easy Spatial Modeling with Random Forest (Version 1.1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.spatialRF

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for spatialRF version 1.1.5 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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