Layout

library(csmaps)
library(ggplot2)
library(data.table)
library(magrittr)

Naming scheme

The naming scheme has the following pattern: scope_geogranularity_type_border_layout_Rclass.

Scope

This is what content the map data contains. Currently we focus on these 2 scopes:

Country (Norway).
City (Oslo).

Geogranularity

This is the geographic granularity, which defines the border of county, municipality and ward.

County (fylke) is equivalent to NUTS3 (Nomenclature of Territorial Unit level 3).
Municip (kommune) is equivalent to LAU2 (Local Administrative Unit level 2).
Ward (bydel) is an administrative region within a large municipality.
xxx: only used for plotting position_title (see example).

Type

The type of the data object to distinguish whether it’s a geographical map or coordinate for label positions. - Map: Map data. - Position geolabels: Geographical coordinates for the position of labels, e.g. “county03” or “Oslo”. - Position title (insert oslo): Geographical coordinate for position of title. So far it’s only for layout: insert_oslo. (see example)

Border

Due to recent redistricting, there exist multiple versions of county/municip borders. We provide maps that match the borders in the following years:

2024: The current border, this map contains 15 counties.
2020: Border before redistricting in 2024. This map contains 11 counties.
2019: Border before redistricting in 2020. This map contains 18 counties.
2017: Border before redistricting in 2018. This map contains 19 counties.

More information on counties in Norway can be found here.

Layout

See the layout section below.

R class

R class for the map object.

data.table: applicable for maps and label/title coordinates.
sf: simple feature for spatial vector data. More on sf.

Layout

We have 3 layout options for Norway map: default, split and insert Oslo.

For the Oslo map, we only have the default layout.

Norway: default

pd <- copy(csmaps::nor_county_map_b2024_default_dt)
q <- ggplot()
q <- q + geom_polygon(
  data = pd, 
  aes( 
    x = long, 
    y = lat, 
    group = group
  ), 
  color="black", 
  fill="white",
  linewidth = 0.4
)
q <- q + theme_void()
q <- q + coord_quickmap()
q <- q + labs(title = "Default layout")
q

Norway: split

pd <- copy(csmaps::nor_county_map_b2024_split_dt)
q <- ggplot()
q <- q + csmaps::annotate_oslo_nor_map_bxxxx_split_dt()
q <- q + geom_polygon(
  data = pd, 
  aes(
    x = long, 
    y = lat, 
    group = group
  ), 
  color="black", 
  fill="white",
  linewidth = 0.4
)
q <- q + theme_void()
q <- q + coord_quickmap()
q <- q + labs(title = "Split layout")
q

Norway: insert oslo

pd <- copy(csmaps::nor_county_map_b2024_insert_oslo_dt)
q <- ggplot()
q <- q + geom_polygon(
  data = pd,
  aes(
    x = long, 
    y = lat, 
    group = group
  ), 
  color="black", 
  fill="white", 
  linewidth = 0.4
)
q <- q + annotate(
  "text", 
  x = csmaps::nor_xxx_position_title_insert_oslo_b2024_insert_oslo_dt$long, 
  y = csmaps::nor_xxx_position_title_insert_oslo_b2024_insert_oslo_dt$lat,
  label = "Oslo"
  )
q <- q + theme_void()
q <- q + coord_quickmap()
q <- q + labs(title = "Insert Oslo layout")
q

Oslo ward: default

pd <- copy(csmaps::oslo_ward_map_b2024_default_dt)
q <- ggplot()
q <- q + geom_polygon(
  data = pd,
  aes(
    x = long, 
    y = lat, 
    group = group
  ), 
  color="black", 
  fill="white",
  linewidth = 0.4
)
q <- q + theme_void()
q <- q + coord_quickmap()
q <- q + labs(title = "Oslo wards")
q

- Naming scheme
- Layout