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A collection of geospatial datasets and map plotting helpers for working with New South Wales maps. The maps are registered with {cartographer} and so are compatible with {ggautomap}.
You can install nswgeo like so:
# CRAN release
install.packages('nswgeo')
# development version
install.packages('nswgeo', repos = c('https://cidm-ph.r-universe.dev', 'https://cloud.r-project.org'))The data can be used directly with ggplot:
library(nswgeo)
library(ggplot2)
ggplot(nswgeo::lhd) + geom_sf(aes(fill = lhd_name), show.legend = FALSE)
Alternatively, the data can be accessed through {cartographer}:
library(cartographer)
head(covid_cases_nsw)
#> # A tibble: 6 × 5
#> postcode lga lhd year type
#> <chr> <chr> <chr> <int> <chr>
#> 1 2427 Mid-Coast Hunter New England 2022 B
#> 2 2761 Blacktown Western Sydney 2021 A
#> 3 2426 Mid-Coast Hunter New England 2022 B
#> 4 2148 Blacktown Western Sydney 2022 B
#> 5 2768 Blacktown Western Sydney 2021 A
#> 6 2766 Blacktown Western Sydney 2021 B
covid_cases_nsw |>
dplyr::count(lga) |>
add_geometry(lga, feature_type = "nswgeo.lga") |>
ggplot() +
geom_sf(aes(fill = n)) +
geom_sf(fill = NA, data = map_sf("nswgeo.lga")) +
theme_void()
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.