Skip to contents

Plot spatial data

Source: R/plot_map.R
plot_map.Rd

Plot spatial data

Usage

plot_map(
  data,
  level = c("kommune", "fylke"),
  rate_col,
  region_number_col,
  legend_title = "",
  map_title = "",
  percent = FALSE,
  auto_transform = FALSE
)

Arguments

data

A data frame with the prevalence/incidence rates and auxiliary information.

level

A character string. Type geographical level, can be "kommune" or "fylke".

  • Kommune 2025 geojson file retrieved from https://kartkatalog.geonorge.no/metadata/administrative-enheter-kommuner/041f1e6e-bdbc-4091-b48f-8a5990f3cc5b

  • Fylke 2024 geojson file retrieved from https://kartkatalog.geonorge.no/metadata/administrative-enheter-fylker/6093c8a8-fa80-11e6-bc64-92361f002671

rate_col

A character string. Name of the column in data containing the information (e.g. rates) to map.

region_number_col

A character string. Name of the column in data containing fylke or kommune identification numbers in 2024 standard (harmonized series). For more information please consult the vignette("other_useful_fun")

legend_title

A character string. Title for the legend box.

map_title

Character string. Title of the plot.

percent

Logical. Do the numbers in rate_col represent proportions or percentages? If TRUE formats scale as percentage. Default is FALSE.

auto_transform

Logical. Sometimes if your data is skewed, the color palette and scale in the map might not look right. If TRUE, applies log10 transformation. Default is FALSE.

Value

Choropleth map

Examples

pop_kommuner_2024 <- get_population_ssb(
regions = "kommuner",
years = 2024,
ages = c(0:18),
aggregate_age = TRUE,
by_sex = FALSE)
#> ℹ Retrieving population of kommuner for the years: 2024, and ages: 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18
#> ℹ Aggregating ages...
#> ✔ Population dataset ready!

pop_kommuner_2024 <- harmonize_municipality_codes(
data = pop_kommuner_2024,
municipality_col = "region_code") |>
dplyr::filter(age == "Total")
#> ! NAs in municipality code column in pop_kommuner_2024: 0
#> ────────────────────────────────────────────────────────────────────────────────
#> ✔ Successfully matched old municipality codes with harmonized municipality codes
#> ℹ Total matched rows: 7140

plot_map(pop_kommuner_2024,
level = "kommune",
rate_col = "population",
map_title = "Population children in Norway 2024",
legend_title = "Population",
region_number_col = "harmonized_code",
auto_transform = TRUE)
#> ! Skewed data, applying log10 transformation for better visualization.