geom_cartogram {ggalt} | R Documentation |
Map polygons layer enabling the display of show statistical information
Description
This replicates the old behaviour of geom_map()
, enabling specifying of
x
and y
aesthetics.
Usage
geom_cartogram(mapping = NULL, data = NULL, stat = "identity", ..., map,
na.rm = FALSE, show.legend = NA, inherit.aes = TRUE)
Arguments
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
The statistical transformation to use on the data for this layer, as a string. |
... |
other arguments passed on to |
map |
Data frame that contains the map coordinates. This will
typically be created using |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
Aesthetics
geom_cartogram
understands the following aesthetics (required aesthetics are in bold):
-
map_id
-
alpha
-
colour
-
fill
-
group
-
linetype
-
size
-
x
-
y
Examples
## Not run:
# When using geom_polygon, you will typically need two data frames:
# one contains the coordinates of each polygon (positions), and 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() +
geom_cartogram(aes(x, y, map_id = id), map = positions, data=positions)
ggplot() +
geom_cartogram(aes(x, y, map_id = id), map = positions, data=positions) +
geom_cartogram(data=values, map=positions, aes(fill = value, map_id=id))
ggplot() +
geom_cartogram(aes(x, y, map_id = id), map = positions, data=positions) +
geom_cartogram(data=values, map=positions, aes(fill = value, map_id=id)) +
ylim(0, 3)
# Better example
crimes <- data.frame(state = tolower(rownames(USArrests)), USArrests)
crimesm <- reshape2::melt(crimes, id = 1)
if (require(maps)) {
states_map <- map_data("state")
ggplot() +
geom_cartogram(aes(long, lat, map_id = region), map = states_map, data=states_map) +
geom_cartogram(aes(fill = Murder, map_id = state), map=states_map, data=crimes)
last_plot() + coord_map("polyconic")
ggplot() +
geom_cartogram(aes(long, lat, map_id=region), map = states_map, data=states_map) +
geom_cartogram(aes(fill = value, map_id=state), map = states_map, data=crimesm) +
coord_map("polyconic") +
facet_wrap( ~ variable)
}
## End(Not run)