ggspatial (version 1.1.9)

layer_spatial: Turn a spatial object into a ggplot2 layer

Description

See also layer_spatial.Raster(), layer_spatial.stars(), layer_spatial.SpatRaster() and layer_spatial.bbox() for implementations for other types of spatial objects.

Usage

layer_spatial(data, mapping, ...)
annotation_spatial(data, mapping, ...)
# S3 method for default
layer_spatial(
  data,
  mapping = aes(),
  inherit.aes = FALSE,
  sf_params = list(),
  ...
)
# S3 method for default
annotation_spatial(
  data,
  mapping = aes(),
  inherit.aes = FALSE,
  sf_params = list(),
  ...
)
shadow_spatial(data, ...)
# S3 method for default
shadow_spatial(data, ...)

Value

A ggplot2 layer.

Arguments

data

An object that can be coerced to an sf object using st_as_sf.

mapping

A mapping, created using aes.

...

Passed to geom_sf

inherit.aes

Inherit aesthetics from ggplot()?

sf_params

Passed to st_as_sf.

Examples

# \donttest{
library(ggplot2)
load_longlake_data(
  which = c(
    "longlake_roadsdf",
    "longlake_depthdf",
    "longlake_depth_raster"
  )
)

ggplot() +

  # 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(alpha = after_stat(band1)), fill = "darkblue") +
  scale_alpha_continuous(na.value = 0) +

  # layer_spatial() layers train the scales
  layer_spatial(longlake_depthdf, aes(col = DEPTH_M)) +

  # spatial-aware automagic scale bar
  annotation_scale(location = "tl") +

  # spatial-aware automagic north arrow
  annotation_north_arrow(location = "br", which_north = "true")
# }