Package {mongolmaps}

mongolmaps: Maps and Administrative Boundaries of Mongolia and Ulaanbaatar

Description

Ready-to-use 'sf' maps of Mongolia at every openly available administrative level: country, economic regions, aimags (provinces), soums and Ulaanbaatar districts, and Ulaanbaatar khoroos (subdistricts), with codes and names for every bag. Provides a crosswalk between English and Cyrillic names, common spelling variants, ISO 3166-2 codes, humanitarian P-codes and National Statistics Office codes; helpers to join statistics to maps; thematic layers (settlements, rivers, lakes, roads, railways, airports, elevation, land cover, population and protected areas); and quick 'ggplot2' and 'leaflet' maps. Boundaries derive from the Common Operational Dataset published by the National Statistics Office of Mongolia and the United Nations Office for the Coordination of Humanitarian Affairs https://data.humdata.org/dataset/cod-ab-mng.

Author(s)

Maintainer: Temuulen Enebish temuulen@gmail.com [copyright holder]

Authors:

• Temuulen Enebish temuulen@gmail.com [copyright holder]

See Also

Useful links:

• https://github.com/temuulene/mongolmaps

• https://temuulene.github.io/mongolmaps/

• Report bugs at https://github.com/temuulene/mongolmaps/issues

Administrative boundaries of Mongolia at any level

Description

The engine behind mn_country(), mn_regions(), mn_aimags(), mn_soums(), mn_khoroos() and mn_bags(). Every function returns the same columns, so maps from different levels can be combined and joined in the same way.

Usage

mn_admin(
  level = "aimag",
  within = NULL,
  resolution = c("low", "high"),
  lang = NULL,
  crs = NULL
)

Arguments

Value

An sf tibble with one row per unit and the columns:

pcode

Unique code (see mn_codes()).

name

Name in the language chosen with lang.

name_en, name_mn, name_mns

English, Cyrillic and MNS Latin names.

level, type

Level ("aimag", "soum", ...) and type ("capital", "district", "khoroo", ...).

number

Bag or khoroo number within its soum or district.

iso_code

ISO 3166-2 code (aimags only).

nso_code

Code used in NSO statistical tables.

parent_pcode, region_pcode, aimag_pcode, soum_pcode

Codes of the units that contain this one.

area_km2

Area in square kilometres, computed from the full-resolution boundary.

geometry

Multipolygon boundary.

See Also

Other admin boundaries: mn_aimags(), mn_bags(), mn_country(), mn_soums(), mn_ub()

Examples

mn_admin("aimag")
mn_admin("soum", within = "Khovd")
mn_admin("aimag", within = c("Khovd", "Uvs"), lang = "mn")

A grid layout of the aimags for small-multiple maps

Description

Positions of the 21 aimags and Ulaanbaatar on a 4-by-9 grid that keeps their rough geographic arrangement, in the format used by the geofacet package.

Usage

mn_aimag_grid

Format

A data frame with 22 rows and 4 columns: row, col, code (the aimag pcode) and name (English name).

See Also

Other mapping helpers: mn_crs(), mn_label_points(), mn_leaflet(), mn_map(), theme_mn()

Examples

library(ggplot2)
pop <- mn_example_population[nchar(mn_example_population$Region) == 3, ]
pop$code <- mn_match(pop$Region)
ggplot(pop, aes(Year, value / 1000)) +
  geom_line() +
  geofacet::facet_geo(~code, grid = mn_aimag_grid, label = "name") +
  labs(y = "Population (thousands)")

Aimags (provinces) of Mongolia

Description

Returns the 21 aimags and the capital, Ulaanbaatar, which has aimag status (type = "capital").

Usage

mn_aimags(
  region = NULL,
  resolution = c("low", "high"),
  lang = NULL,
  crs = NULL
)

Arguments

Value

An sf tibble; see mn_admin() for the columns.

See Also

Other admin boundaries: mn_admin(), mn_bags(), mn_country(), mn_soums(), mn_ub()

Examples

aimags <- mn_aimags()
aimags
mn_aimags(region = "Western")
mn_aimags(lang = "mn")

Bags: the smallest rural units

Description

Bags (baga) are the subdivisions of soums; there are about 1,650 of them. Their codes and names are built in (see mn_codes("bag")), but their boundaries are not openly published: the National Statistics Office of Mongolia (NSO) shares them on request. Once you have a bag boundary file, mn_bags() and every other function in the package can use it.

Usage

mn_bags(
  aimag = NULL,
  soum = NULL,
  path = getOption("mongolmaps.bags_path"),
  resolution = c("low", "high"),
  lang = NULL,
  crs = NULL
)

mn_read_bags(path, code_col = NULL, check_nesting = TRUE)

Arguments

Value

An sf tibble; see mn_admin() for the columns.

Getting bag boundaries

Write to NSO (international@nso.mn) and ask for the bag boundaries as a shapefile or GeoPackage, with each bag's NSO code. Then either pass the file to mn_bags(path = ...), or register it once per session with options(mongolmaps.bags_path = "path/to/bags.gpkg") (put that line in your .Rprofile to make it permanent). Registered bags are also returned by mn_admin("bag") and used by mn_join().

mn_read_bags() checks the file: every bag must have a known code and sit inside its soum.

See Also

Other admin boundaries: mn_admin(), mn_aimags(), mn_country(), mn_soums(), mn_ub()

Examples

# Codes and names of all bags, without boundaries:
mn_codes("bag", within = "Khovd")

# Without a bag boundary file, mn_bags() explains how to get one:
try(mn_bags())

# With the file from NSO (not run, as the file is not public):
## Not run: 
mn_bags(aimag = "Khovd", path = "bags_from_nso.gpkg")

## End(Not run)

Manage downloaded map data

Description

Full-resolution boundaries and the larger thematic layers are downloaded the first time you use them and kept in a cache folder, so later calls work offline.

Usage

mn_cache_dir()

mn_cache_list()

mn_cache_clear(layers = NULL, old_versions = FALSE)

mn_download(layers = "all")

Arguments

Details

• mn_cache_dir() returns the cache folder. Change it with options(mongolmaps.cache_dir = "path").

• mn_cache_list() lists what is cached.

• mn_cache_clear() deletes cached files.

• mn_download() downloads layers now, for example before fieldwork without internet. See mn_sources() for the layer ids.

Value

mn_cache_dir(): a path. mn_cache_list(): a tibble with one row per cached file. mn_cache_clear() and mn_download(): the affected paths, invisibly.

See Also

Other data sources and cache: mn_sources()

Examples

mn_cache_dir()
mn_cache_list()

mn_download("admin_high")

Codes and names of Mongolian administrative units

Description

Returns the table behind every map in the package: one row per unit, from the country down to bags and khoroos, with its codes, names and place in the hierarchy. Use it to look up codes, to build your own crosswalks, or to see which units have a boundary.

Usage

mn_codes(level = NULL, within = NULL, aliases = FALSE, lang = NULL)

Arguments

Details

Units are identified by pcode, a code that is unique across levels:

• "MN" for the country, "MNR1" to "MNR5" for the economic regions (Western, Khangai, Central, Eastern, Ulaanbaatar);

• "MN" + the two-digit NSO aimag code for aimags ("MN84" Khovd, "MN11" Ulaanbaatar);

• two more digits for soums and Ulaanbaatar districts ("MN8401"), and two more for bags and khoroos ("MN110751").

These match the P-codes of the humanitarian Common Operational Dataset and are the NSO statistical codes without their leading region digit (nso_code, as used in NSO PXWeb tables).

The type column separates units that share a level: "capital" (Ulaanbaatar) among aimags; "district" and "village" among soums; "khoroo" among bags. Villages (tosgon) and rural bags have codes and statistics but no boundary (has_geometry is FALSE).

Value

A tibble. With aliases = FALSE: the columns of every admin map (see mn_admin()) plus has_geometry. With aliases = TRUE: pcode, level, name_en, alias and source.

See Also

Other names and codes: mn_match(), mn_translit()

Examples

mn_codes("aimag")
mn_codes("soum", within = "Khovd")
mn_codes("aimag", aliases = TRUE)

Mongolia and its economic regions

Description

mn_country() returns the outline of Mongolia. mn_regions() returns the five economic regions used in NSO statistics: Western, Khangai, Central, Eastern and Ulaanbaatar.

Usage

mn_country(resolution = c("low", "high"), lang = NULL, crs = NULL)

mn_regions(resolution = c("low", "high"), lang = NULL, crs = NULL)

Arguments

Value

An sf tibble; see mn_admin() for the columns.

See Also

Other admin boundaries: mn_admin(), mn_aimags(), mn_bags(), mn_soums(), mn_ub()

Examples

mn_country()
mn_regions()

Coordinate reference systems suited to Mongolia

Description

Returns a projection that keeps Mongolia's shape and area true. Maps of the whole country look best in an equal-area Albers or Lambert conic projection centred on Mongolia; maps of Ulaanbaatar look best in UTM zone 48N.

Usage

mn_crs(type = c("albers", "lcc", "utm", "wgs84"))

Arguments

Value

An sf::st_crs() object.

See Also

Other mapping helpers: mn_aimag_grid, mn_label_points(), mn_leaflet(), mn_map(), theme_mn()

Examples

mn_crs()
sf::st_transform(mn_aimags(), mn_crs("albers"))

Elevation and hillshade

Description

Terrain rasters for Mongolia from the Copernicus DEM GLO-90.

Usage

mn_elevation(
  resolution = c("1km", "90m"),
  within = NULL,
  mask = TRUE,
  crs = NULL
)

mn_hillshade(
  resolution = c("1km", "90m"),
  within = NULL,
  mask = TRUE,
  angle = 40,
  direction = 315,
  crs = NULL
)

Arguments

Details

• resolution = "1km" (default): a national grid in the Albers projection, downloaded once (about 5 MB) and cached.

• resolution = "90m": the original 90 m data, read directly from the cloud for the area in within (an aimag or smaller). Nothing is cached.

mn_hillshade() computes shaded relief from the elevation, for a background under other layers.

Value

A terra SpatRaster: elevation in metres, or hillshade values between 0 and 1.

Source

Copernicus DEM GLO-90, (c) DLR e.V. 2010-2014 and (c) Airbus Defence and Space GmbH 2014-2018, provided under COPERNICUS by the European Union and ESA. Free to use with attribution.

See Also

Other raster layers: mn_landcover(), mn_population(), mn_zonal()

Examples

elev <- mn_elevation()
terra::plot(elev)
ub <- mn_elevation("90m", within = "Ulaanbaatar")
terra::plot(mn_hillshade(within = "Khovd"), col = grey.colors(100), legend = FALSE)

Mid-year resident population of Mongolia (example data)

Description

Population by administrative unit for 2015, 2020 and 2025, exactly as returned by the National Statistics Office (NSO) table DT_NSO_0300_002V4 via the mongolstats package. The Region column mixes levels (national total, regions, aimags, soums, bags and khoroos), as NSO tables do, which makes it a good example for mn_join().

Usage

mn_example_population

Format

A data frame with 6,672 rows and 4 columns:

Region

NSO unit code, such as "0" (Mongolia), "183" (Bayan-Ulgii), "18301" (Ulgii soum) or "5110751" (Bayangol district, 1st khoroo).

Region_en

English label of the unit.

Year

Year.

value

Mid-year resident population.

Source

National Statistics Office of Mongolia, https://data.1212.mn/pxweb/, retrieved 2026-09-29.

See Also

Other joining data: mn_join()

Examples

head(mn_example_population)

Join your data to a map of Mongolia

Description

Attaches a data frame to boundaries in one step. The column in by can hold names in any common spelling, Cyrillic names, NSO codes, ISO codes or P-codes; they are matched with mn_match(). Every unit of the level is kept, so places without data still appear on the map (with NA).

Usage

mn_join(
  data,
  by,
  level = NULL,
  by_parent = NULL,
  within = NULL,
  drop_other_levels = TRUE,
  resolution = c("low", "high"),
  lang = NULL,
  crs = NULL
)

Arguments

Details

Level. When level is NULL, the level with the most matches is used. NSO tables often list several levels in one column (the national total, regions, aimags, soums ...); rows at other levels are dropped with a message (see drop_other_levels). Join NSO tables by their code column (such as Region) rather than the label column: labels such as "Ulaanbaatar" name both a region and an aimag.

Several rows per unit. Data with several rows per place (for example one per year) give several copies of that place's polygon, ready for ggplot2::facet_wrap().

Places without boundaries. Villages (tosgon) and rural bags have NSO codes but no boundary; their rows are reported and left out.

Value

An sf tibble: the boundaries of every unit at the level, with the columns of data added. Columns of data whose names clash with boundary columns get the suffix .data.

See Also

Other joining data: mn_example_population

Examples

# Mid-year population from NSO, by aimag and year
pop <- mn_example_population[mn_example_population$Year == 2025, ]
mn_join(pop, by = "Region", level = "aimag")

# Khoroos of Ulaanbaatar, from the same table
mn_join(pop, by = "Region", level = "bag", within = "Ulaanbaatar")

# Names in any spelling work
df <- data.frame(aimag = c("Khovsgol", "Hovd", "\\u0423\\u0432\\u0441"), value = 1:3)
mn_join(df, aimag)

Label points for map units

Description

Returns one point per unit, placed well inside its polygon (unlike a centroid, which can fall outside curved shapes). Points for the maps in this package are precomputed; other polygons use sf::st_point_on_surface().

Usage

mn_label_points(x)

Arguments

Value

An sf object of points with the attributes of x.

See Also

Other mapping helpers: mn_aimag_grid, mn_crs(), mn_leaflet(), mn_map(), theme_mn()

Examples

mn_label_points(mn_aimags())

Land cover

Description

Land cover from ESA WorldCover 2021, in 11 classes such as grassland, bare ground, cropland and built-up areas. The result is a categorical raster with class names and the official colours, so terra::plot() draws it with a legend.

Usage

mn_landcover(
  resolution = c("1km", "10m"),
  within = NULL,
  mask = TRUE,
  crs = NULL
)

Arguments

Details

• resolution = "1km" (default): national grid, majority class of each square kilometre, downloaded once (about 2 MB).

• resolution = "10m": the original 10 m data for the area in within (a soum, district or smaller aimag), read from the cloud.

Value

A categorical terra SpatRaster.

Source

ESA WorldCover 10 m 2021 v200, (c) ESA WorldCover project / contains modified Copernicus Sentinel data (2021) processed by the ESA WorldCover consortium. CC BY 4.0.

See Also

Other raster layers: mn_elevation(), mn_population(), mn_zonal()

Examples

lc <- mn_landcover()
terra::plot(lc)
terra::plot(mn_landcover("10m", within = "Nalaikh"))

Interactive maps with leaflet

Description

Shows any map from this package, or your joined data, on an interactive web map with a basemap, hover labels and click pop-ups.

Usage

mn_leaflet(
  x = NULL,
  fill = NULL,
  popup = NULL,
  lang = NULL,
  tiles = "CartoDB.Positron",
  opacity = 0.7
)

Arguments

Value

A leaflet htmlwidget.

See Also

Other mapping helpers: mn_aimag_grid, mn_crs(), mn_label_points(), mn_map(), theme_mn()

Examples

mn_leaflet()
mn_leaflet(mn_khoroos(), fill = area_km2)

Quick maps of Mongolia with ggplot2

Description

Draws any map from this package, or a map joined to your data, with sensible defaults: a projection suited to Mongolia, a colour-blind friendly palette, grey for missing values, optional labels and surroundings, and the data attribution as a caption. The result is a normal ggplot, so you can add layers, scales and themes to it.

Usage

mn_map(
  x = NULL,
  fill = NULL,
  trans = "identity",
  label = FALSE,
  context = FALSE,
  crs = NULL,
  lang = NULL,
  caption = TRUE,
  title = NULL,
  label_size = 2.6
)

Arguments

Value

A ggplot object.

See Also

Other mapping helpers: mn_aimag_grid, mn_crs(), mn_label_points(), mn_leaflet(), theme_mn()

Examples

mn_map()
mn_map(mn_aimags(), fill = area_km2, label = TRUE)
mn_map(mn_khoroos(district = "Bayangol"), label = TRUE)

pop <- mn_example_population[mn_example_population$Year == 2025, ]
pop_map <- mn_join(pop, "Region", level = "aimag")
mn_map(pop_map, fill = value, trans = "log10", title = "Population, 2025")


mn_map(mn_landcover())
mn_map(mn_elevation()) + ggplot2::geom_sf(data = mn_aimags(), fill = NA, colour = "white")

Match place names and codes to Mongolian administrative units

Description

Converts any common way of writing a Mongolian place into its code: English spellings ("Khuvsgul", "Khovsgol", "Hovsgol"), Cyrillic, NSO statistical codes, ISO 3166-2 codes and P-codes. Names are compared through a normalised key, so spelling variants, case, punctuation and words such as "aimag", "province", "soum" or "district" do not matter. Values that still do not match are tried with a small edit distance.

Usage

mn_match(
  x,
  level = NULL,
  within = NULL,
  to = c("pcode", "name_en", "name_mn", "name_mns", "iso_code", "nso_code", "level",
    "type"),
  fuzzy = TRUE,
  max_dist = NULL,
  quiet = FALSE
)

Arguments

Value

A character vector the same length as x. Values that cannot be matched, or that match several units, are NA and are listed in a warning.

See Also

Other names and codes: mn_codes(), mn_translit()

Examples

mn_match(c("Khuvsgul", "Hovsgol", "\\u0425\\u04e9\\u0432\\u0441\\u0433\\u04e9\\u043b", "MN-041"))

# NSO statistical codes work too
mn_match(c("183", "511", "51107"), to = "name_en")

# Many soums share a name: say which aimag you mean
mn_match("Bayan-Uul", level = "soum", within = "Dornod")

# Khoroos are numbered within their district
mn_match("15-r khoroo", level = "bag", within = "Bayangol")

Map context: neighbouring countries, rivers and lakes

Description

Layers that give a map of Mongolia its surroundings and water.

Usage

mn_neighbours(crs = NULL)

mn_rivers(detail = c("major", "all"), within = NULL, crs = NULL)

mn_lakes(detail = c("major", "all"), within = NULL, crs = NULL)

Arguments

Details

• mn_neighbours(): the neighbouring parts of Russia, China and Kazakhstan (Natural Earth, public domain), clipped to a frame 300 km around Mongolia.

• mn_rivers() and mn_lakes(): with detail = "major" (default), major rivers and lakes from Natural Earth, bundled with the package. With detail = "all", every river, stream, canal and water body mapped in OpenStreetMap (ODbL), downloaded once (about 20 MB) and cached.

Value

An sf tibble. Natural Earth layers have name_en and scalerank (lower is more important). OpenStreetMap layers have osm_id, name, name_en, name_mn and class (for example "river", "stream", "lake" or "reservoir").

See Also

Other thematic layers: mn_protected_areas(), mn_roads(), mn_settlements()

Examples

mn_neighbours()
mn_rivers()
mn_lakes(within = "Khuvsgul")

mn_rivers(detail = "all", within = "Ulaanbaatar")

Population grids

Description

Estimated population per grid cell from WorldPop (2015 to 2030, constrained to built-up areas), at 1 km or 100 m. The national file for the year is downloaded once from WorldPop (0.4 MB at 1 km, 11 MB at 100 m) and cached. Use mn_zonal() to sum it over aimags, soums or khoroos.

Usage

mn_population(
  year = 2025,
  resolution = c("1km", "100m"),
  within = NULL,
  mask = TRUE,
  crs = NULL
)

Arguments

Value

A terra SpatRaster of people per cell.

Source

WorldPop (www.worldpop.org), Global 2015-2030 constrained population counts, release R2025A. CC BY 4.0.

See Also

Other raster layers: mn_elevation(), mn_landcover(), mn_zonal()

Examples

pop <- mn_population(2025)
terra::plot(log10(pop))
mn_zonal(pop, mn_aimags())

Protected areas

Description

National parks, nature reserves and other protected and conserved areas of Mongolia from the World Database on Protected Areas (WDPA). The data are downloaded from UNEP-WCMC the first time and refreshed after 90 days; they may not be redistributed, so they never ship with the package.

Usage

mn_protected_areas(within = NULL, refresh = FALSE, crs = NULL)

Arguments

Value

An sf tibble with the WDPA attributes, including name_eng, desig_eng (designation), iucn_cat and status_yr.

Terms of use

UNEP-WCMC and IUCN, Protected Planet: The World Database on Protected Areas (WDPA), Cambridge, UK. See https://www.protectedplanet.net/en/legal. The WDPA may be used for non-commercial purposes with attribution; it may not be redistributed.

See Also

Other thematic layers: mn_neighbours(), mn_roads(), mn_settlements()

Examples

pa <- mn_protected_areas()
mn_map(pa, fill = desig_eng)

Roads, railways, airports and places from OpenStreetMap

Description

Transport and settlement layers from OpenStreetMap, prepared from the Humanitarian OpenStreetMap Team exports. Each layer is downloaded once (roads about 30 MB, the others smaller) and cached; see mn_download().

Usage

mn_roads(class = "main", within = NULL, crs = NULL)

mn_railways(stations = FALSE, within = NULL, crs = NULL)

mn_airports(within = NULL, crs = NULL)

mn_places(
  type = c("city", "town", "village"),
  within = NULL,
  lang = NULL,
  crs = NULL
)

Arguments

Details

Use within to get a layer for one place: only the features in that place's bounding box are read from disk, then lines are cut at its border.

Value

An sf tibble with osm_id, name (in the chosen language, where OpenStreetMap has it), name_en, name_mn and layer-specific columns: highway, class and surface for roads; railway for railways; place and population for places.

Licence

OpenStreetMap data are available under the Open Database Licence (ODbL). Credit "(c) OpenStreetMap contributors" when you publish maps; mn_citation("osm_roads") gives the text.

See Also

Other thematic layers: mn_neighbours(), mn_protected_areas(), mn_settlements()

Examples

ub_roads <- mn_roads(class = c("main", "minor"), within = "Ulaanbaatar")
mn_railways()
mn_airports()
mn_places(within = "Khovd")

Settlements: the capital, aimag centres and soum centres

Description

Points for Ulaanbaatar, the 21 aimag centres and the soum centres, handy for labelling maps. Locations come from Wikidata; a few soums without coordinates there use a point inside the soum (see location_source).

Usage

mn_settlements(
  type = c("capital", "aimag_centre", "soum_centre"),
  within = NULL,
  lang = NULL,
  crs = NULL
)

Arguments

Value

An sf tibble of points with columns admin_pcode (the aimag or soum the settlement is the centre of), soum_pcode, aimag_pcode, type, name, name_en, name_mn, name_mns and location_source.

See Also

Other thematic layers: mn_neighbours(), mn_protected_areas(), mn_roads()

Examples

mn_settlements(type = c("capital", "aimag_centre"))
mn_settlements(within = "Khovd")

Soums of Mongolia and districts of Ulaanbaatar

Description

Returns the 330 soums (rural districts) together with the 9 districts (duureg) of Ulaanbaatar, which sit at the same level (type is "soum" or "district").

Usage

mn_soums(aimag = NULL, resolution = c("low", "high"), lang = NULL, crs = NULL)

Arguments

Value

An sf tibble; see mn_admin() for the columns.

See Also

Other admin boundaries: mn_admin(), mn_aimags(), mn_bags(), mn_country(), mn_ub()

Examples

mn_soums()
mn_soums(aimag = "Khovd")
mn_soums(aimag = c("Uvs", "Zavkhan"), lang = "mn")

Data sources, licences and citations

Description

mn_sources() lists every data layer in the package: who provides it, under which licence, whether it ships with the package or is downloaded, and how current it is. mn_citation() returns the attribution text to put under a map; mn_map() adds it as a caption automatically.

Usage

mn_sources(layer = NULL)

mn_citation(layers = "admin")

Arguments

Details

Please credit the data providers when you publish maps. Most layers are under licences that require attribution (CC BY, ODbL).

Value

mn_sources(): a tibble with columns id, title, group, delivery ("bundled", "release" or "upstream"), provider, license, license_url, valid_on, source_url, attribution and notes. mn_citation(): a single string.

See Also

Other data sources and cache: mn_cache_dir()

Examples

mn_sources()
mn_citation(c("admin", "khoroos"))

Transliterate Mongolian Cyrillic to Latin script

Description

Converts Mongolian Cyrillic text to Latin script with a fixed, package-owned table, so results never change between systems. Latin characters, digits and punctuation pass through unchanged.

Usage

mn_translit(x, to = c("mns", "nso"))

Arguments

Value

A character vector the same length as x.

See Also

Other names and codes: mn_codes(), mn_match()

Examples

mn_translit("\\u0425\\u04e9\\u0432\\u0441\\u0433\\u04e9\\u043b")
mn_translit("\\u0425\\u04e9\\u0432\\u0441\\u0433\\u04e9\\u043b", to = "nso")
mn_translit("\\u0423\\u043b\\u0430\\u0430\\u043d\\u0431\\u0430\\u0430\\u0442\\u0430\\u0440")

Ulaanbaatar: city, districts and khoroos

Description

Maps of the capital at three levels:

• mn_ub(): the city boundary;

• mn_ub_districts(): its 9 districts (duureg);

• mn_khoroos(): its 204 khoroos (subdistricts).

Usage

mn_ub(resolution = c("low", "high"), lang = NULL, crs = NULL)

mn_ub_districts(resolution = c("low", "high"), lang = NULL, crs = NULL)

mn_khoroos(
  district = NULL,
  resolution = c("low", "high"),
  lang = NULL,
  crs = NULL
)

Arguments

Details

The three layers share borders exactly: khoroos tile their districts and districts tile the city.

Value

An sf tibble; see mn_admin() for the columns. For khoroos, number holds the khoroo number within its district.

Data source

Khoroo boundaries come from the open khoroo-map project (https://github.com/Tuvshin-Level/khoroo-map, 0BSD licence), which does not state where its data come from, so treat them as unofficial. They were fitted to the official Ulaanbaatar outline, with small gaps and overlaps between khoroos resolved: 0.6% of the city area was reassigned, and 97% of khoroos changed area by less than 1%. Khoroo codes and names follow NSO.

The district lines are the unions of their khoroos. They follow the current city layout and can differ slightly from the 2020 district lines in mn_soums().

See Also

Other admin boundaries: mn_admin(), mn_aimags(), mn_bags(), mn_country(), mn_soums()

Examples

mn_ub()
mn_ub_districts()
mn_khoroos(district = "Bayangol")
mn_khoroos(lang = "mn", crs = "utm")

Summarise a raster over map units

Description

Adds a column to x with a summary of the raster cells in each unit, for example the total population of every soum or the mean elevation of every aimag.

Usage

mn_zonal(
  r,
  x = NULL,
  fun = c("sum", "mean", "min", "max", "median"),
  name = "value"
)

Arguments

Value

x with a new column.

See Also

Other raster layers: mn_elevation(), mn_landcover(), mn_population()

Examples

soum_pop <- mn_zonal(mn_population(2025), mn_soums(), name = "population")
mn_map(soum_pop, fill = population / area_km2, trans = "log10")

A clean map theme

Description

A minimal ggplot2 theme for maps: no axes or grid, legend at the right, small grey caption.

Usage

theme_mn(base_size = 11, base_family = "")

Arguments

Value

A ggplot2 theme.

See Also

Other mapping helpers: mn_aimag_grid, mn_crs(), mn_label_points(), mn_leaflet(), mn_map()

Examples

library(ggplot2)
ggplot(mn_aimags()) + geom_sf() + theme_mn()