Map of Oslo wards (bydeler) in data.table format

We package the map datasets for Oslo wards (bydeler), taken from Oslo municipality, 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

oslo_ward_map_b2024_default_dt

oslo_ward_map_b2020_default_dt

oslo_ward_position_geolabels_b2024_default_dt

oslo_ward_position_geolabels_b2020_default_dt

Format

oslo_ward_map_b2024_default_dt and oslo_ward_map_b2020_default_dt 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.

group

Factor, one level per closed polygon ring; use as the group aesthetic in ggplot2. Here each ward has exactly one ring.

location_code

Ward code (e.g. "wardoslo_nor030101").

oslo_ward_position_geolabels_b2024_default_dt and oslo_ward_position_geolabels_b2020_default_dt are data.tables with one row per ward. They carry no repel column, unlike the county label datasets:

location_code

Ward code (e.g. "wardoslo_nor030101").

long

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

lat

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

An object of class data.table (inherits from data.frame) with 1372 rows and 5 columns.

An object of class data.table (inherits from data.frame) with 15 rows and 3 columns.

An object of class data.table (inherits from data.frame) with 15 rows and 3 columns.

Source

Oslo kommune. License: CC BY 4.0.

Details

Borders provided for 2024, 2020. Both hold the 15 wards wardoslo_nor030101 to wardoslo_nor030115, one closed polygon ring each. The 2024 and 2020 objects are identical, for the maps and for the label datasets alike. Only the default layout is provided; there is no insert-Oslo or split ward map.

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

See also

vignette("layout", package = "csmaps") draws oslo_ward_map_b2024_default_dt, and vignette("customization", package = "csmaps") labels it with oslo_ward_position_geolabels_b2024_default_dt. No vignette uses the 2020 datasets.

Other Oslo ward maps: oslo_ward_map_bxxxx_default_sf

Examples

# 2024 borders
library(ggplot2)
q <- ggplot(mapping = aes(x = long, y = lat))
q <- q + geom_polygon(
  data = csmaps::oslo_ward_map_b2024_default_dt,
  mapping = aes(group = group, fill = location_code),
  color = "black",
  fill = "white",
  linewidth = 0.4
)
q <- q + geom_label(
  data = csmaps::oslo_ward_position_geolabels_b2024_default_dt,
  mapping = aes(label = location_code),
  color = "red"
)
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::oslo_ward_map_b2020_default_dt,
  mapping = aes(group = group, fill = location_code),
  color = "black",
  fill = "white",
  linewidth = 0.4
)
q <- q + geom_label(
  data = csmaps::oslo_ward_position_geolabels_b2020_default_dt,
  mapping = aes(label = location_code),
  color = "red"
)
q <- q + theme_void()
q <- q + coord_quickmap()
q