R Observatory: Metrics for gdalraster version 2.6.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

gdalraster

2.6.1

Bindings to 'GDAL'

6packages depend

16.5Kdownloads / year

74.7%test coverage

11/13checks pass

Overview

About

Maintained by Chris ToneyFirst published 2023-05-2422 releasesCRAN page ↗GitHub ↗

API bindings to the Geospatial Data Abstraction Library ('GDAL', https://gdal.org). Implements the 'GDAL' Raster and Vector Data Models. Bindings are implemented with 'Rcpp' modules. Exposed C++ classes and stand-alone functions wrap much of the 'GDAL' API and provide additional functionality. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Class 'GDALRaster' encapsulates a 'GDALDataset' and its raster band objects. Class 'GDALVector' encapsulates an 'OGRLayer' and the 'GDALDataset' that contains it. Initial bindings are provided to the unified 'gdal' command line interface added in 'GDAL' 3.11. C++ stand-alone functions provide bindings to most 'GDAL' "traditional" raster and vector utilities, including 'OGR' facilities for vector geoprocessing, several algorithms, as well as the Geometry API ('GEOS' via 'GDAL' headers), the Spatial Reference Systems API, and methods for coordinate transformation. Bindings to the Virtual Systems Interface ('VSI') API implement standard file system operations abstracted for URLs, cloud storage services, 'Zip'/'GZip'/'7z'/'RAR', in-memory files, as well as regular local file systems. This provides a single interface for operating on file system objects that works the same for any storage backend. A custom raster calculator evaluates a user-defined R expression on a layer or stack of layers, with pixel x/y available as variables in the expression. Raster 'combine()' identifies and counts unique pixel combinations across multiple input layers, with optional raster output of the pixel-level combination IDs. Basic plotting capability is provided for raster and vector display. 'gdalraster' leans toward minimalism and the use of simple, lightweight objects for holding raw data. Currently, only minimal S3 class interfaces have been implemented for selected R objects that contain spatial data. 'gdalraster' may be useful in applications that need scalable, low-level I/O, or prefer a direct 'GDAL' API.

Install

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

install.packages("gdalraster", 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("firelab/gdalraster")

Development version from firelab/gdalraster. 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-gdalraster

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-gdalraster

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-gdalraster

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

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 23.9 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.52

74.7%

Coverage · measured lines

13

Dependencies · direct

Check history

NOTE2026-07-11
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
OK2026-05-12
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
WARNING2026-05-11
12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE

Show 4 earlier snapshots

OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 829 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 98%
Documented parameters: not tracked
Return-value docs: not tracked
References docs: 1%

Downloads

16.5K

CRAN downloads in the past year

Rank #3,354 · ~45/day · ~1.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

81330 days

3.2K90 days

16.5K1 year

Compare downloads with other packages →

Also on787 r2u27 autocran7.1K conda_forge27 c2d4u

Repository

GitHub ↗ firelab/gdalraster

59Stars

10Forks

11Open issues

0Open PRs

22Releases

3,366Commits

9Contributors

gdalrasterr-packagerstatsgeospatialvectorgis

3,366 commits · Last activity 2026-08-23 · +1.7% stars, 30d

Stars over time

2025-07-15 · 472026-08-11 · 59

Repository practices

Upstream repositoryBeta

11 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/firelab/gdalraster on 2026-08-23.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

Automation and maintenance (1)

Dependabot

Lint, format, editor (4)

lintrEditorConfigVS CodeRStudio project

Show all practices

Coverage (1)

Codecov

Governance and community (1)

Security policy

Git structural (2)

.gitattributesblame-ignore revs

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

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.2.0

Imports (13)

bit64 cligraphicsgrDevicesmethodsnanoarrow Rcpp (>= 1.0.7)statstoolsutilswk xml2 yyjsonr

LinkingTo (4)

cli nanoarrow Rcpp RcppInt64

Suggests (8)

glue gt knitr ltc rmarkdown scales testthat vctrs

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

6direct

0indirect

FIESTA FIESTAutils geotargets lazysf gpkg ursa

Code & Tests

Datasets

People & History

People (8)

Maintainer (1)

Chris Toney

Author, Maintainer

Authors (2)

Chris Toney

Author, Maintainer

Michael D. Sumner

Author · added in 1.11.0

Contributors (6)

Marius Appel

Contributor, Copyright holder

Peter Dimov

Contributor, Copyright holder

Daniel James

Contributor, Copyright holder

Even Rouault

Contributor, Copyright holder

Frank Warmerdam

Contributor, Copyright holder

Pepijn de Vries

Contributor · added in 2.5.0

Copyright holders (5)

Marius Appel

Contributor, Copyright holder

Peter Dimov

Contributor, Copyright holder

Daniel James

Contributor, Copyright holder

Even Rouault

Contributor, Copyright holder

Frank Warmerdam

Contributor, Copyright holder

Package Timeline

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

2.6.1Latest
2026-05-16 · current release · diff ↗
2.6.0
2026-05-04 · diff ↗
R
R 4.6.0 released · 2026-04-24
2.5.0
2026-03-25 · diff ↗
2.4.0
2025-12-18 · diff ↗
2.3.0
2025-11-19 · diff ↗
2.2.1
2025-08-29 · diff ↗
2.2.0
2025-08-22 · diff ↗
2.1.0
2025-07-14 · diff ↗
2.0.0
2025-05-11 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.12.0
2025-01-19 · diff ↗
1.11.1
2024-06-13 · diff ↗
1.11.0
2024-06-03 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.10.0
2024-03-26 · diff ↗

Show 10 earlier events

1.9.0
2024-02-26 · diff ↗
1.8.0
2024-01-27 · diff ↗
1.7.0
2023-11-29 · diff ↗
1.6.0
2023-10-28 · diff ↗
1.5.0
2023-09-25 · diff ↗
1.4.0
2023-08-29 · diff ↗
1.3.0
2023-06-29 · diff ↗
1.2.0
2023-05-29 · diff ↗
1.1.1
2023-05-24
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-05-24
Total releases: 22 / 3 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.2.0
Download size: 3.2 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("gdalraster")

Format

Toney, C., Appel, M., Dimov, P., James, D., Rouault, E., Sumner, M. D., Warmerdam, F., & de Vries, P. (2026). gdalraster: Bindings to 'GDAL' (Version 2.6.1) [Computer software]. https://doi.org/10.32614/CRAN.package.gdalraster

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 gdalraster version 2.6.1 [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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