nor_municip_map_bxxxx_insert_oslo_dt {csmaps}

Maps of Norwegian municipalities with an insert for Oslo in data.table format

Description

We conveniently package map datasets for Norwegian municipalities (taken from Geonorge) that can be used in ggplot2 without needing any geo libraries. This data is licensed under Creative Commons BY 4.0 (CC BY 4.0).

Usage

nor_municip_map_b2024_insert_oslo_dt

nor_municip_map_b2020_insert_oslo_dt

nor_municip_map_b2019_insert_oslo_dt

nor_municip_position_geolabels_b2024_insert_oslo_dt

nor_municip_position_geolabels_b2020_insert_oslo_dt

nor_municip_position_geolabels_b2019_insert_oslo_dt

Format

long

Location code.

lat

Location name.

order

The order that this line should be plotted in.

group

Needs to be used as 'group' aesthetic in ggplot2.

location_code

Location code (county code).

An object of class data.table (inherits from data.frame) with 30659 rows and 5 columns.

An object of class data.table (inherits from data.frame) with 31763 rows and 5 columns.

An object of class data.table (inherits from data.frame) with 356 rows and 3 columns.

An object of class data.table (inherits from data.frame) with 356 rows and 3 columns.

An object of class data.table (inherits from data.frame) with 422 rows and 3 columns.

Details

Borders for 2024, 2020, and 2019 are provided.

Examples

# 2024 borders
library(ggplot2)
q <- ggplot(mapping = aes(x = long, y = lat))
q <- q + geom_polygon(
  data = csmaps::nor_municip_map_b2024_insert_oslo_dt,
  mapping = aes(group = group),
  color = "black",
  fill = "white",
  linewidth = 0.2
)
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

# 2020 borders
library(ggplot2)
q <- ggplot(mapping = aes(x = long, y = lat))
q <- q + geom_polygon(
  data = csmaps::nor_municip_map_b2020_insert_oslo_dt,
  mapping = aes(group = group),
  color = "black",
  fill = "white",
  linewidth = 0.2
)
q <- q + annotate(
  "text",
  x = csmaps::nor_xxx_position_title_insert_oslo_b2020_insert_oslo_dt$long,
  y = csmaps::nor_xxx_position_title_insert_oslo_b2020_insert_oslo_dt$lat,
  label = "Oslo"
)
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_municip_map_b2019_insert_oslo_dt,
  mapping = aes(group = group),
  color = "black",
  fill = "white",
  linewidth = 0.2
)
q <- q + annotate(
  "text",
  x = csmaps::nor_xxx_position_title_insert_oslo_b2019_insert_oslo_dt$long,
  y = csmaps::nor_xxx_position_title_insert_oslo_b2019_insert_oslo_dt$lat,
  label = "Oslo"
)
q <- q + theme_void()
q <- q + coord_quickmap()
q