layer_spatial {ggspatial} | R Documentation |
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, ...)
## Default S3 method:
layer_spatial(
data,
mapping = aes(),
inherit.aes = FALSE,
sf_params = list(),
...
)
## Default S3 method:
annotation_spatial(
data,
mapping = aes(),
inherit.aes = FALSE,
sf_params = list(),
...
)
shadow_spatial(data, ...)
## Default S3 method:
shadow_spatial(data, ...)
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. |
Value
A ggplot2 layer.
Examples
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")
[Package ggspatial version 1.1.9 Index]