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: 1.1.4
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: 2020-07-12
Author: Dewey Dunnington ORCID iD [aut, cre], Brent Thorne ORCID iD [ctb]
Maintainer: Dewey Dunnington <dewey at fishandwhistle.net>
BugReports: https://github.com/paleolimbot/ggspatial/issues
License: GPL-3
URL: https://paleolimbot.github.io/ggspatial, https://github.com/paleolimbot/ggspatial
NeedsCompilation: no
CRAN checks: ggspatial results

Downloads:

Reference manual: ggspatial.pdf
Package source: ggspatial_1.1.4.tar.gz
Windows binaries: r-devel: ggspatial_1.1.4.zip, r-release: ggspatial_1.1.4.zip, r-oldrel: ggspatial_1.1.4.zip
macOS binaries: r-release: ggspatial_1.1.4.tgz, r-oldrel: ggspatial_1.1.4.tgz
Old sources: ggspatial archive

Reverse dependencies:

Reverse imports: GADMTools, geouy
Reverse suggests: echor

Linking:

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