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Maps of Norwegian counties in data.table format

Source: R/data_norway_county.R
nor_county_map_bxxxx_default_dt.Rd

We package the map datasets for Norwegian counties, taken from Geonorge, so that you can draw them in ggplot2 with no geolibrary. This data is licensed under Creative Commons BY 4.0 (CC BY 4.0).

Usage

nor_county_map_b2024_default_dt

nor_county_map_b2020_default_dt

nor_county_map_b2019_default_dt

nor_county_map_b2017_default_dt

nor_county_position_geolabels_b2024_default_dt

nor_county_position_geolabels_b2020_default_dt

nor_county_position_geolabels_b2019_default_dt

nor_county_position_geolabels_b2017_default_dt

Format

The four nor_county_map_*_default_dt datasets are data.tables with one row per polygon vertex:

long

Longitude in decimal degrees (WGS84).

lat

Latitude in decimal degrees (WGS84).

order

Integer draw order carried over from the source polygon conversion. ggplot2::geom_polygon() follows row order, so you rarely need this column, and its values are not contiguous in every dataset.

group

Factor, one level per closed polygon ring; use as the group aesthetic in ggplot2. Several rings can share one location_code.

location_code

County code (e.g. "county_nor03").

The four nor_county_position_geolabels_*_default_dt datasets are data.tables with one row per county:

location_code

County code (e.g. "county_nor03").

long

Longitude in decimal degrees (WGS84) of the label anchor.

lat

Latitude in decimal degrees (WGS84) of the label anchor.

repel

Logical layout flag. Draw the TRUE rows with ggrepel::geom_label_repel() and the FALSE rows with ggplot2::geom_label().

An object of class data.table (inherits from data.frame) with 4479 rows and 5 columns.

An object of class data.table (inherits from data.frame) with 4722 rows and 5 columns.

An object of class data.table (inherits from data.frame) with 4531 rows and 5 columns.

An object of class data.table (inherits from data.frame) with 15 rows and 4 columns.

An object of class data.table (inherits from data.frame) with 11 rows and 4 columns.

An object of class data.table (inherits from data.frame) with 18 rows and 4 columns.

An object of class data.table (inherits from data.frame) with 19 rows and 4 columns.

Source

Kartverket / Geonorge https://www.geonorge.no/. License: CC BY 4.0.

Details

Borders for 2024, 2020, 2019, and 2017 are provided. The number of counties differs by border year: 15 in 2024, 11 in 2020, 18 in 2019, and 19 in 2017.

Each border year has a polygon table (nor_county_map_*) and a label table (nor_county_position_geolabels_*). The two hold the same set of location_code values, but different columns.

See also

vignette("csmaps", package = "csmaps") draws this map, and vignette("layout", package = "csmaps") explains the naming scheme. Both use nor_county_map_b2024_default_dt. No vignette uses the 2020, 2019 or 2017 datasets, or any label dataset on this page.

Other county maps: nor_county_map_bxxxx_default_sf, nor_county_map_bxxxx_insert_oslo_dt, nor_county_map_bxxxx_split_dt

Examples

# 2024 borders
library(ggplot2)
q <- ggplot(mapping = aes(x = long, y = lat))
q <- q + geom_polygon(
  data = csmaps::nor_county_map_b2024_default_dt,
  mapping = aes(group = group),
  color = "black",
  fill = "white",
  linewidth = 0.4
)
q <- q + theme_void()
q <- q + coord_quickmap()
q


# 2020 borders
library(ggplot2)
q <- ggplot(mapping = aes(x = long, y = lat))
q <- q + geom_polygon(
  data = csmaps::nor_county_map_b2020_default_dt,
  mapping = aes(group = group),
  color = "black",
  fill = "white",
  linewidth = 0.4
)
q <- q + theme_void()
q <- q + coord_quickmap()
q


# 2019 borders
library(ggplot2)
q <- ggplot(mapping = aes(x = long, y = lat))
q <- q + geom_polygon(
  data = csmaps::nor_county_map_b2019_default_dt,
  mapping = aes(group = group),
  color = "black",
  fill = "white",
  linewidth = 0.4
)
q <- q + theme_void()
q <- q + coord_quickmap()
q


# 2017 borders
library(ggplot2)
q <- ggplot(mapping = aes(x = long, y = lat))
q <- q + geom_polygon(
  data = csmaps::nor_county_map_b2017_default_dt,
  mapping = aes(group = group),
  color = "black",
  fill = "white",
  linewidth = 0.4
)
q <- q + theme_void()
q <- q + coord_quickmap()
q