This is intended for use with RGB(A) rasters (e.g., georeferenced imagery or photos). To work with bands as if they were columns, use df_spatial and geom_raster.
# S3 method for Raster
layer_spatial(
data,
mapping = NULL,
interpolate = NULL,
is_annotation = FALSE,
lazy = FALSE,
dpi = 150,
...
)
# S3 method for Raster
annotation_spatial(data, mapping = NULL, interpolate = NULL, ...)
StatSpatialRaster
StatSpatialRasterAnnotation
StatSpatialRasterDf
GeomSpatialRaster
An object of class StatSpatialRaster
(inherits from Stat
, ggproto
, gg
) of length 3.
An object of class StatSpatialRaster
(inherits from StatSpatialRaster
, Stat
, ggproto
, gg
) of length 3.
An object of class StatSpatialRasterDf
(inherits from Stat
, ggproto
, gg
) of length 5.
An object of class GeomSpatialRaster
(inherits from Geom
, ggproto
, gg
) of length 5.
A Raster object
Currently, only RGB or RGBA rasters are supported. In the future, one may be able to map specific bands to the fill and alpha aesthetics.
Interpolate resampling for rendered raster image
Lets raster exist without modifying scales
Delay projection and resample of raster until the plot is being rendered
if lazy = TRUE, the dpi to which the raster should be resampled
Passed to other methods
A ggplot2 layer
# \donttest{
library(ggplot2)
load_longlake_data(which = c("longlake_osm", "longlake_depth_raster"))
ggplot() + layer_spatial(longlake_osm)
ggplot() + layer_spatial(longlake_depth_raster) + scale_fill_continuous(na.value = NA)
#> Warning: Removed 6584 rows containing missing values (`geom_raster()`).
# }