london_boroughs: London Borough Boundaries
In tessington/qsci381: Data used in QSCI 381, University of Washington

Description Usage Format Details Source See Also Examples

This dataset contains the coordinates of the boundaries of all 32 boroughs of the Greater London area.

1	london_boroughs

A data frame with 45341 observations on the following 3 variables.

borough: Name of the borough.
x: The "easting" component of the coordinate, see details.
y: The "northing" component of the coordinate, see details.

Map data was made available through the Ordnance Survey Open Data initiative. The data use the National Grid coordinate system, based upon eastings (x) and northings (y) instead of longitude and latitude.

The name variable covers all 32 boroughs in Greater London: Barking & Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith & Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington & Chelsea, Kingston, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond, Southwark, Sutton, Tower Hamlets, Waltham Forest, Wandsworth, Westminster

https://data.london.gov.uk/dataset/ordnance-survey-code-point

Contains Ordinance Survey data released under the Open Government License, OGL v2.

london_murders

library(dplyr)
library(ggplot2)

# Calculate number of murders by borough
london_murders_counts <- london_murders %>%
  group_by(borough) %>%
  add_tally()

london_murders_counts

## Not run: 
# Add number of murders to geographic boundary data
london_boroughs_murders <- inner_join(london_boroughs, london_murders_counts, by = "borough")

# Map murders
ggplot(london_boroughs_murders) +
  geom_polygon(aes(x = x, y = y, group = borough, fill = n), colour = "white") +
    scale_fill_distiller(direction = 1) +
  labs(x = "Easting", y = "Northing", fill = "Number of murders")

## End(Not run)