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cff-version: 1.2.0
message: 'To cite package "gdalraster" in publications use:'
type: software
license: MIT
title: 'gdalraster: Bindings to ''GDAL'''
version: 2.6.1.9000
identifiers:
- type: doi
  value: 10.32614/CRAN.package.gdalraster
abstract: 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.
authors:
- family-names: Toney
  given-names: Chris
  email: jctoney@gmail.com
  orcid: https://orcid.org/0000-0001-5734-6510
- family-names: Sumner
  given-names: Michael D.
  orcid: https://orcid.org/0000-0002-2471-7511
preferred-citation:
  type: manual
  title: 'gdalraster: R Bindings to the Geospatial Data Abstraction Library (GDAL)'
  authors:
  - family-names: Toney
    given-names: Chris
    email: jctoney@gmail.com
    orcid: https://orcid.org/0000-0001-5734-6510
  - family-names: Sumner
    given-names: Michael D.
    email: mdsumner@gmail.com
    orcid: https://orcid.org/0000-0002-2471-7511
  year: '2026'
  institution:
    name: USDA Forest Service, Rocky Mountain Research Station
    address: Missoula, MT, USA
  url: https://firelab.github.io/gdalraster/
repository: https://firelab.r-universe.dev
repository-code: https://github.com/firelab/gdalraster
commit: 3ac3c4f01fdc56755ebb388cc66c899fcf769740
url: https://firelab.github.io/gdalraster/
date-released: '2026-06-02'
contact:
- family-names: Toney
  given-names: Chris
  email: jctoney@gmail.com
  orcid: https://orcid.org/0000-0001-5734-6510