This is a quick and dirty way to get map data (from the maps package)
on to your plot. This is a good place to start if you need some crude
reference lines, but you'll typically want something more sophisticated
for communication graphics.
borders(database = "world", regions = ".", fill = NA, colour = "grey50",
xlim = NULL, ylim = NULL, ...)
map data, see
maps::map() for details
latitudinal and logitudinal range for extracting map
maps::map() for details.
Arguments passed on to
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
NULL, the default, the data is inherited from the plot
data as specified in the call to
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.
function will be called with a single argument,
the plot data. The return value must be a
will be used as the layer data.
The statistical transformation to use on the data for this
layer, as a string.
Position adjustment, either as a string, or the result of
a call to a position adjustment function.
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
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.
FALSE, the default, missing values are removed with
a warning. If
TRUE, missing values are silently removed.
ia <- map_data
mid_range <- function
seats <- plyr::ddply
(group = group
), fill = NA
, colour = "grey60"
(label = subregion
), data = seats
, size = 2
, angle = 45
capitals <- subset
, capital == 2
(size = pop
# Same map, with some world context
, xlim = c
), ylim = c
(size = pop