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Layout

Chi Zhang

2021-01-15

Source: vignettes/layout.Rmd
layout.Rmd
library(csmaps)
#> csmaps 2024.9.26
#> https://www.csids.no/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