tabularaster: Tidy Tools for 'Raster' Data

Facilities to work with vector and raster data in efficient repeatable and systematic work flow. Missing functionality in existing packages is included here to allow extraction from raster data with 'simple features' and 'Spatial' types and to make extraction consistent and straightforward. Extract cell numbers from raster data and return the cells as a data frame rather than as lists of matrices or vectors. The functions here allow spatial data to be used without special handling for the format currently in use.

Version: 0.7.2
Depends: R (≥ 3.2.5)
Imports: dplyr, fasterize, magrittr, raster, silicate, spatstat.geom, tibble
Suggests: covr, knitr, rmarkdown, testthat (≥ 2.1.0), spelling
Published: 2023-11-01
DOI: 10.32614/CRAN.package.tabularaster
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: tabularaster results


Reference manual: tabularaster.pdf
Vignettes: Raster Abstraction Functions
Using tabularaster


Package source: tabularaster_0.7.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): tabularaster_0.7.2.tgz, r-oldrel (arm64): tabularaster_0.7.2.tgz, r-release (x86_64): tabularaster_0.7.2.tgz, r-oldrel (x86_64): tabularaster_0.7.2.tgz
Old sources: tabularaster archive


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