geom_district {ggredist} | R Documentation |
Aggregate and Plot Map Regions
Description
Aggregates shapefile according to the group
aesthetic. If just group
is
provided, then by default map regions will be colored by group
so that
adjacent regions do not share a color (set fill
to force a particular
color, or NA
for no fill). If fill
is provided, the values in fill
will be summed within the groups defined by group
. If denom
is provided,
the values in denom
will be summed within the groups defined by group
,
and then used to divide the summed values of fill
. For example, fill
and
denom
can be used together to plot the partisan or demographic
characteristics congressional districts (see examples).
Usage
geom_district(
mapping = NULL,
data = NULL,
position = "identity",
na.rm = FALSE,
is_coverage = FALSE,
min_col = FALSE,
buffer = 0,
show.legend = NA,
inherit.aes = TRUE,
...
)
stat_district(
mapping = NULL,
data = NULL,
geom = GeomDistrict,
position = "identity",
na.rm = FALSE,
is_coverage = FALSE,
min_col = FALSE,
buffer = 0,
show.legend = NA,
inherit.aes = TRUE,
...
)
Arguments
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer |
position |
Position adjustment |
na.rm |
if |
is_coverage |
As in |
min_col |
If |
buffer |
Optionally buffer the merged geometries. Negative values will shrink geometries towards the center and can be used for a "glowing boundary" effect (see examples). |
show.legend |
Should this layer be included in the legends? |
inherit.aes |
If |
... |
Passed onto the underlying geoms. |
geom |
The geometric object to use display the data |
Value
a ggproto
object
Examples
library(ggplot2)
data(oregon)
ggplot(oregon, aes(group=county)) +
geom_district() +
scale_fill_penn82() +
theme_map()
ggplot(oregon, aes(group=county, fill=pop)) +
geom_district() +
theme_map()
ggplot(oregon, aes(group=cd_2020, fill=ndv, denom=ndv+nrv)) +
geom_district() +
scale_fill_party_c(limits=c(0.4, 0.6)) +
theme_map()
ggplot(oregon, aes(group=county)) +
geom_district() +
geom_district(buffer=-5000, fill="#ffffffcc", color=NA) +
scale_fill_natgeo() +
theme_map()