ggspatial: Spatial data framework for ggplot2
Spatial data plus the power of the
ggplot2 framework means easier mapping.
The package is available on CRAN, and can be installed using
install.packages("ggspatial"). The development version can be installed via devtools. Currently, the package depends on the not-quite-releasted version of ggplot2, which can also be installed using devtools.
install.packages("devtools") # if devtools isn't installed devtools::install_github("paleolimbot/ggspatial")
This package is a framework for interacting with spatial data using ggplot2 as a plotting backend. The package supports sf package objects, sp package objects, and raster package objects, and uses
coord_sf() to do most of the heavy lifting with respect to coordinate transformation.
library(ggspatial) load_longlake_data() ggplot() + # loads background map tiles from a tile source annotation_map_tile(zoomin = -1) + # annotation_spatial() layers don't train the scales, so data stays central annotation_spatial(longlake_roadsdf, size = 2, col = "black") + annotation_spatial(longlake_roadsdf, size = 1.6, col = "white") + # raster layers train scales and get projected automatically layer_spatial(longlake_depth_raster, aes(fill = NULL, alpha = stat(band1)), fill = "darkblue") + scale_alpha_continuous(na.value = 0) + # layer_spatial trains the scales layer_spatial(longlake_depthdf, aes(col = DEPTH.M)) + # spatial-aware automagic scale bar annotation_scale(location = "tl")