Spatial ggplot2 layer for stars objects — layer

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 ggplot2::geom_raster().

# S3 method for class 'stars'
layer_spatial(
  data,
  mapping = NULL,
  interpolate = NULL,
  is_annotation = FALSE,
  lazy = FALSE,
  dpi = 150,
  options = character(0),
  ...
)

# S3 method for class 'stars'
annotation_spatial(data, mapping = NULL, interpolate = NULL, ...)

StatSpatialStars

StatSpatialStarsAnnotation

StatSpatialStarsDf

GeomSpatialStars

Format

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.

Arguments

data: A stars object
mapping: 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: Interpolate resampling for rendered raster image
is_annotation: Lets raster exist without modifying scales
lazy: Delay projection and resample of raster until the plot is being rendered
dpi: if lazy = TRUE, the dpi to which the raster should be resampled
options: GDAL options for warping/resampling (see st_warp)
...: Passed to other methods

Value

A ggplot2 layer

Examples

# \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 or values outside the scale range
#> (`geom_raster()`).

# }