eechidna (version 1.4.1)

aec_extract_f: aec_extract_f - extract subsets geographically

Description

The dorling algorithm doesn't work on the entire country, because it is very clustered at the cities. To get a reasonable cartogram we need to extract out the cities, expand these with dorling independently. This function does the extraction.

Usage

aec_extract_f(aec_data, ctr = c(151.2, -33.8), expand = c(3, 4.5), ...)

Arguments

aec_data

data with centroids of electoral divisions

ctr

centroids of subset

expand

how large a chunk to cut out

...

other arguments

Examples

# NOT RUN {
library(dplyr)
library(ggplot2)
nat_map16 <- nat_map_download(2016)
nat_data16 <- nat_data_download(2016)
nat_data16 <- nat_data16 %>% select(-c(x,y)) # remove existing cartogram coordinates
adelaide <- aec_extract_f(nat_data16, ctr=c(138.6, -34.9), expand=c(2,3))
ggplot(data=nat_map16) + 
  geom_polygon(aes(x=long, y=lat, group=group, order=order),
    fill="grey90", colour="white") +
  geom_point(data=adelaide, aes(x=long_c, y=lat_c), size=2, alpha=0.4,
    colour="#f0027f") + 
  xlim(c(136, 142)) + ylim(-36, -33) +
  coord_equal()
# }