Description Usage Arguments Aesthetics Examples
This replicates the old behaviour of geom_map(), enabling specifying of
x and y aesthetics.
| 1 2 | 
| 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  | 
geom_cartogram understands the following aesthetics (required aesthetics are in bold):
map_id
alpha
colour
fill
group
linetype
size
x
y
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | ## 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)
 | 

Loading required package: ggplot2
Loading required package: maps
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