ggspatial: Spatial Data Framework for ggplot2

Spatial data plus the power of the ggplot2 framework means easier mapping when input data are already in the form of spatial objects.

Version: 1.1.5
Depends: R (≥ 2.10)
Imports: sf, ggplot2 (≥ 3.0.0), rosm (≥ 0.2), abind, methods, tibble, scales, tidyr, rlang, grid, glue
Suggests: prettymapr, knitr, rmarkdown, sp, rgdal, raster, testthat (≥ 2.1.0), dplyr, withr, ggrepel, stars, covr, vdiffr, lwgeom
Published: 2021-01-04
Author: Dewey Dunnington ORCID iD [aut, cre], Brent Thorne ORCID iD [ctb]
Maintainer: Dewey Dunnington <dewey at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
In views: Spatial
CRAN checks: ggspatial results


Reference manual: ggspatial.pdf


Package source: ggspatial_1.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ggspatial_1.1.5.tgz, r-oldrel (arm64): ggspatial_1.1.5.tgz, r-release (x86_64): ggspatial_1.1.5.tgz, r-oldrel (x86_64): ggspatial_1.1.5.tgz
Old sources: ggspatial archive

Reverse dependencies:

Reverse depends: ggOceanMaps
Reverse imports: CSHShydRology, GADMTools, geouy, SAEval, valhallr
Reverse suggests: bmstdr, CatastRo, covidregionaldata, echor, eks, mapboxapi, mapSpain, USA.state.boundaries


Please use the canonical form to link to this page.