R Observatory: Metrics for gimms version 1.2.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

gimms

1.2.5

Download and Process GIMMS NDVI3g Data

0packages depend

5.4Kdownloads / year

15.9%test coverage

13/13checks pass

Overview

About

Maintained by Florian DetschFirst published 2015-10-0817 releasesCRAN page ↗GitHub ↗

This is a set of functions to retrieve information about GIMMS NDVI3g files currently available online; download (and re-arrange, in the case of NDVI3g.v0) the half-monthly data sets; import downloaded files from ENVI binary (NDVI3g.v0) or NetCDF format (NDVI3g.v1) directly into R based on the widespread 'raster' package; conduct quality control; and generate monthly composites (e.g., maximum values) from the half-monthly input data. As a special gimmick, a method is included to conveniently apply the Mann-Kendall trend test upon 'Raster*' images, optionally featuring trend-free pre-whitening to account for lag-1 autocorrelation.

Install

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

install.packages("gimms", 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("environmentalinformatics-marburg/gimms")

Development version from environmentalinformatics-marburg/gimms. 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-gimms

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-gimms

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-gimms

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

Health

CRAN checks

13OK

Slowest check: 6.3 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.00

15.9%

Coverage · measured lines

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 999 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 75%
Documented parameters: 93%
Return-value docs: 100%
References docs: 33%

Downloads

5.4K

CRAN downloads in the past year

Rank #6,356 · ~15/day · ~454/mo

Releases R versions

Daily download trend is not available in this view yet.

31230 days

1.3K90 days

5.4K1 year

Compare downloads with other packages →

Also on119 r2u23 autocran

Repository

GitHub ↗ environmentalinformatics-marburg/gimms

18Stars

7Forks

4Open issues

1Open PRs

0Releases

271Commits

5Contributors

271 commits · Last activity 2026-04-03 · 0% stars, 30d

Stars over time

2023-08-08 · 172026-07-07 · 18

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/environmentalinformatics-marburg/gimms on 2026-08-23.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (3)

R >= 3.5rastermethods

Imports (5)

curl Kendallparallelncdf4 zyp

LinkingTo (0)

none

Suggests (2)

checkmate tinytest

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Florian Detsch

Maintainer, Author

Authors (1)

Florian Detsch

Maintainer, Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.2.5Latest
2026-03-21 · current release · diff ↗
1.2.4
2025-11-30 · diff ↗
1.2.3
2025-08-20 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.2.2
2023-08-09 · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
1.2.1
2021-07-30 · diff ↗
R
R 4.1.0 released · 2021-05-18
1.2.0
2021-04-16 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.1.3
2020-03-19 · diff ↗
R
R 3.6.0 released · 2019-04-26
1.1.1
2018-12-07 · diff ↗

Show 13 earlier events

R
R 3.5.0 released · 2018-04-23
1.1.0
2018-01-13 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.0.0
2016-12-16 · diff ↗
R
R 3.3.0 released · 2016-05-03
0.5.1
2016-01-27 · diff ↗
0.5.0
2016-01-15 · diff ↗
0.4.0
2015-12-18 · diff ↗
0.3.0
2015-11-14 · diff ↗
0.2.0
2015-10-26 · diff ↗
0.1.1
2015-10-09 · diff ↗
0.1
2015-10-08
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2015-10-08
Total releases: 17 / 11 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Bundled data: 166 KB / 2 files
Download size: 207 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gimms")

Format

Detsch, F. (2026). gimms: Download and Process GIMMS NDVI3g Data (Version 1.2.5) [Computer software]. https://doi.org/10.32614/CRAN.package.gimms

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 gimms version 1.2.5 [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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