Plot a choropleth map for an indicator

Plot a choropleth map for an indicator

map(
  data,
  ons_api,
  area_code,
  fill,
  type = "static",
  value,
  name_for_label,
  title = "",
  subtitle = "",
  copyright_size = 4,
  copyright_year = Sys.Date()
)

Arguments

data

data.frame or tibble which will be fed into ggplot functions. This object should contain the fields used for the arguments within this function

ons_api

string; GeoJSON url of a shape file. This can be found on the ONS geography portal

area_code

field containing area codes to join to shape file imported from ONS API

fill

unquoted field name for the field to be used to determine the colouring of the bars; usually reflecting significance. The values that values that can be used in this field with predetermined colours are: 'Better', 'Higher', 'Similar', 'Lower', 'Worse', 'Not compared', 'None'

type

string; the output map required. Can be "static" or "interactive"

value

if interactive map, unquoted field name for the field containing values to be used for label of polygons when hovering

name_for_label

if interactive map, unquoted field name for the field containing area names to be used for label of polygons - optional

title

string; title of chart

subtitle

string; subtitle of the chart

copyright_size

number; used to control the size of the copyright text

copyright_year

number (length 4 characters) or Date class; the copyright year displayed at bottom of the map. Applies to static maps only

Value

a either a static or interactive ggplot choropleth map

See also

Other quick charts: box_plots(), compare_areas(), compare_indicators(), overview(), population(), trends()

Examples

if (FALSE) {
ons_api <- "https://opendata.arcgis.com/datasets/687f346f5023410ba86615655ff33ca9_4.geojson"

p <- map(mapdata,
         ons_api = ons_api,
         area_code = AreaCode,
         fill = Significance,
         title = "Map example",
         subtitle = "An indicator for Upper Tier Local Authorities England",
         copyright_year = 2019)

p

## For an interactive (leaflet) map
p <- map(mapdata,
         ons_api = ons_api,
         area_code = AreaCode,
         fill = Significance,
         type = "interactive",
         value = Value,
         name_for_label = AreaName,
         title = "An indicator for Upper Tier<br>Local Authorities England")
p}