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 aes()

data

The data to be displayed in this layer

position

na.rm

if TRUE, will silently remove missing values from calculations

is_coverage

As in sf::st_union(). May speed up plotting for large shapefiles if geos is not installed or the shapefile is not projected.

min_col

If TRUE, try to minimize the number of colors used. May be necessary for short palettes.

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 FALSE, overrides the default aesthetics, rather than combining with them.

...

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()