aec_extract_f: aec_extract_f - extract subsets geographically

In Emaasit/ebolaCases: Exploring Election and Census Highly Informative Data Nationally for Australia

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

library(dplyr)
library(ggplot2)
data(nat_map)
data(nat_data)
adelaide <- aec_extract_f(nat_data, ctr=c(138.6, -34.9), expand=c(2,3))
ggplot(data=nat_map) + 
  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()

Emaasit/ebolaCases documentation built on May 6, 2019, 3:46 p.m.