Display polygons as a map. This is meant as annotation, so it does not
affect position scales. Note that this function predates the geom_sf()
framework and does not work with sf geometry columns as input. However,
it can be used in conjunction with geom_sf() layers and/or
coord_sf() (see examples).
geom_map(
mapping = NULL,
data = NULL,
stat = "identity",
...,
map,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)Set of aesthetic mappings created by aes(). If specified and
inherit.aes = TRUE (the default), it is combined with the default mapping
at the top level of the plot. You must supply mapping if there is no plot
mapping.
The data to be displayed in this layer. There are three options:
If NULL, the default, the data is inherited from the plot
data as specified in the call to ggplot().
A data.frame, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
fortify() for which variables will be created.
A function will be called with a single argument,
the plot data. The return value must be a data.frame, and
will be used as the layer data. A function can be created
from a formula (e.g. ~ head(.x, 10)).
The statistical transformation to use on the data for this layer.
When using a geom_*() function to construct a layer, the stat
argument can be used the override the default coupling between geoms and
stats. The stat argument accepts the following:
A Stat ggproto subclass, for example StatCount.
A string naming the stat. To give the stat as a string, strip the
function name of the stat_ prefix. For example, to use stat_count(),
give the stat as "count".
For more information and other ways to specify the stat, see the layer stat documentation.
Other arguments passed on to layer()'s params argument. These
arguments broadly fall into one of 4 categories below. Notably, further
arguments to the position argument, or aesthetics that are required
can not be passed through .... Unknown arguments that are not part
of the 4 categories below are ignored.
Static aesthetics that are not mapped to a scale, but are at a fixed
value and apply to the layer as a whole. For example, colour = "red"
or linewidth = 3. The geom's documentation has an Aesthetics
section that lists the available options. The 'required' aesthetics
cannot be passed on to the params. Please note that while passing
unmapped aesthetics as vectors is technically possible, the order and
required length is not guaranteed to be parallel to the input data.
When constructing a layer using
a stat_*() function, the ... argument can be used to pass on
parameters to the geom part of the layer. An example of this is
stat_density(geom = "area", outline.type = "both"). The geom's
documentation lists which parameters it can accept.
Inversely, when constructing a layer using a
geom_*() function, the ... argument can be used to pass on parameters
to the stat part of the layer. An example of this is
geom_area(stat = "density", adjust = 0.5). The stat's documentation
lists which parameters it can accept.
The key_glyph argument of layer() may also be passed on through
.... This can be one of the functions described as
key glyphs, to change the display of the layer in the legend.
Data frame that contains the map coordinates. This will
typically be created using fortify() on a spatial object.
It must contain columns x or long, y or
lat, and region or id.
If FALSE, the default, missing values are removed with
a warning. If TRUE, missing values are silently removed.
logical. Should this layer be included in the legends?
NA, the default, includes if any aesthetics are mapped.
FALSE never includes, and TRUE always includes.
It can also be a named logical vector to finely select the aesthetics to
display.
If FALSE, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g. borders().
geom_map() understands the following aesthetics (required aesthetics are in bold):
map_id
alpha
colour
fill
group
linetype
linewidth
subgroup
Learn more about setting these aesthetics in vignette("ggplot2-specs").
# First, a made-up example containing a few polygons, to explain
# how `geom_map()` works. It requires two data frames:
# One contains the coordinates of each polygon (`positions`), and is
# provided via the `map` argument. The other contains the
# other the values associated with each polygon (`values`). An id
# variable links the two together.
ids <- factor(c("1.1", "2.1", "1.2", "2.2", "1.3", "2.3"))
values <- data.frame(
id = ids,
value = c(3, 3.1, 3.1, 3.2, 3.15, 3.5)
)
positions <- data.frame(
id = rep(ids, each = 4),
x = c(2, 1, 1.1, 2.2, 1, 0, 0.3, 1.1, 2.2, 1.1, 1.2, 2.5, 1.1, 0.3,
0.5, 1.2, 2.5, 1.2, 1.3, 2.7, 1.2, 0.5, 0.6, 1.3),
y = c(-0.5, 0, 1, 0.5, 0, 0.5, 1.5, 1, 0.5, 1, 2.1, 1.7, 1, 1.5,
2.2, 2.1, 1.7, 2.1, 3.2, 2.8, 2.1, 2.2, 3.3, 3.2)
)
ggplot(values) +
geom_map(aes(map_id = id), map = positions) +
expand_limits(positions)
ggplot(values, aes(fill = value)) +
geom_map(aes(map_id = id), map = positions) +
expand_limits(positions)
ggplot(values, aes(fill = value)) +
geom_map(aes(map_id = id), map = positions) +
expand_limits(positions) + ylim(0, 3)
# Now some examples with real maps
if (require(maps)) {
crimes <- data.frame(state = tolower(rownames(USArrests)), USArrests)
# Equivalent to crimes %>% tidyr::pivot_longer(Murder:Rape)
vars <- lapply(names(crimes)[-1], function(j) {
data.frame(state = crimes$state, variable = j, value = crimes[[j]])
})
crimes_long <- do.call("rbind", vars)
states_map <- map_data("state")
# without geospatial coordinate system, the resulting plot
# looks weird
ggplot(crimes, aes(map_id = state)) +
geom_map(aes(fill = Murder), map = states_map) +
expand_limits(x = states_map$long, y = states_map$lat)
# in combination with `coord_sf()` we get an appropriate result
ggplot(crimes, aes(map_id = state)) +
geom_map(aes(fill = Murder), map = states_map) +
# crs = 5070 is a Conus Albers projection for North America,
# see: https://epsg.io/5070
# default_crs = 4326 tells coord_sf() that the input map data
# are in longitude-latitude format
coord_sf(
crs = 5070, default_crs = 4326,
xlim = c(-125, -70), ylim = c(25, 52)
)
ggplot(crimes_long, aes(map_id = state)) +
geom_map(aes(fill = value), map = states_map) +
coord_sf(
crs = 5070, default_crs = 4326,
xlim = c(-125, -70), ylim = c(25, 52)
) +
facet_wrap(~variable)
}
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