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 stars
layer_spatial(
data,
mapping = NULL,
interpolate = NULL,
is_annotation = FALSE,
lazy = FALSE,
dpi = 150,
options = character(0),
...
)
# S3 method for stars
annotation_spatial(data, mapping = NULL, interpolate = NULL, ...)
StatSpatialStars
StatSpatialStarsAnnotation
StatSpatialStarsDf
GeomSpatialStars
An object of class StatSpatialStars
(inherits from Stat
, ggproto
, gg
) of length 3.
An object of class StatSpatialStars
(inherits from StatSpatialStars
, Stat
, ggproto
, gg
) of length 3.
An object of class StatSpatialStarsDf
(inherits from Stat
, ggproto
, gg
) of length 5.
An object of class GeomSpatialStars
(inherits from Geom
, ggproto
, gg
) of length 5.
A stars 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
GDAL options for warping/resampling (see st_warp)
Passed to other methods
A ggplot2 layer
# \donttest{
library(ggplot2)
load_longlake_data(
which = c(
"longlake_osm",
"longlake_depth_raster"
),
raster_format = "stars"
)
ggplot() +
layer_spatial(longlake_osm)
ggplot() +
layer_spatial(longlake_depth_raster) +
scale_fill_continuous(
na.value = NA,
type = "viridis"
)
#> Warning: Removed 6584 rows containing missing values (`geom_raster()`).
# }