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, values and weights 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: 0.4.0
Depends: R (≥ 3.2.5)
Imports: dplyr, methods, raster, sp, spex (≥ 0.4.0), spbabel (≥ 0.4.8), tibble, viridis
Suggests: covr, testthat, knitr, rmarkdown, sf, spdplyr
Published: 2017-12-10
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner at gmail.com>
BugReports: https://github.com/hypertidy/tabularaster/issues
License: GPL-3
URL: https://github.com/hypertidy/tabularaster
NeedsCompilation: no
Materials: README NEWS
CRAN checks: tabularaster results

Downloads:

Reference manual: tabularaster.pdf
Vignettes: Raster Abstraction Functions
Using tabularaster
Package source: tabularaster_0.4.0.tar.gz
Windows binaries: r-devel: tabularaster_0.3.0.zip, r-release: tabularaster_0.3.0.zip, r-oldrel: tabularaster_0.4.0.zip
OS X El Capitan binaries: r-release: tabularaster_0.4.0.tgz
OS X Mavericks binaries: r-oldrel: tabularaster_0.4.0.tgz
Old sources: tabularaster archive

Linking:

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