Package 'giscoR' reference manual

Title:	Download Map Data from GISCO API - Eurostat
Description:	Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.
Authors:	Diego Hernangómez [aut, cre, cph] (<https://orcid.org/0000-0001-8457-4658>, rOpenGov), EuroGeographics [cph] (for the administrative boundaries.), Vincent Arel-Bundock [cph] (<https://orcid.org/0000-0003-2042-7063>, for the gisco_countrycode dataset.)
Maintainer:	Diego Hernangómez <[email protected]>
License:	GPL-3
Version:	0.6.0
Built:	2024-11-20 15:23:37 UTC
Source:	https://github.com/rOpenGov/giscoR

GISCO Address API

Description

Access the GISCO Address API, that allows to carry out both geocoding and reverse geocoding using a pan-european address database.

Each endpoint available is implemented through a specific function, see Details.

The API supports fuzzy searching (also referred to as approximate string matching) for all parameters of each endpoint.

Usage

gisco_addressapi_search(
  country = NULL,
  province = NULL,
  city = NULL,
  road = NULL,
  housenumber = NULL,
  postcode = NULL,
  verbose = FALSE
)

gisco_addressapi_reverse(x, y, country = NULL, verbose = FALSE)

gisco_addressapi_bbox(
  country = NULL,
  province = NULL,
  city = NULL,
  road = NULL,
  postcode = NULL,
  verbose = FALSE
)

gisco_addressapi_countries(verbose = FALSE)

gisco_addressapi_provinces(country = NULL, city = NULL, verbose = FALSE)

gisco_addressapi_cities(country = NULL, province = NULL, verbose = FALSE)

gisco_addressapi_roads(
  country = NULL,
  province = NULL,
  city = NULL,
  verbose = FALSE
)

gisco_addressapi_housenumbers(
  country = NULL,
  province = NULL,
  city = NULL,
  road = NULL,
  postcode = NULL,
  verbose = FALSE
)

gisco_addressapi_postcodes(
  country = NULL,
  province = NULL,
  city = NULL,
  verbose = FALSE
)

gisco_addressapi_copyright(verbose = FALSE)
gisco_addressapi_search(
  country = NULL,
  province = NULL,
  city = NULL,
  road = NULL,
  housenumber = NULL,
  postcode = NULL,
  verbose = FALSE
)

gisco_addressapi_reverse(x, y, country = NULL, verbose = FALSE)

gisco_addressapi_bbox(
  country = NULL,
  province = NULL,
  city = NULL,
  road = NULL,
  postcode = NULL,
  verbose = FALSE
)

gisco_addressapi_countries(verbose = FALSE)

gisco_addressapi_provinces(country = NULL, city = NULL, verbose = FALSE)

gisco_addressapi_cities(country = NULL, province = NULL, verbose = FALSE)

gisco_addressapi_roads(
  country = NULL,
  province = NULL,
  city = NULL,
  verbose = FALSE
)

gisco_addressapi_housenumbers(
  country = NULL,
  province = NULL,
  city = NULL,
  road = NULL,
  postcode = NULL,
  verbose = FALSE
)

gisco_addressapi_postcodes(
  country = NULL,
  province = NULL,
  city = NULL,
  verbose = FALSE
)

gisco_addressapi_copyright(verbose = FALSE)

Arguments

`country`	Country code (`country = "LU"`).
`province`	A province within a country. For a list of provinces within a certain country use the provinces endpoint (`gisco_addressapi_provinces(country = "LU")`).
`city`	A city within a province. For a list of cities within a certain province use the cities endpoint (`gisco_addressapi_cities(province = "capellen")`).
`road`	A road within a city.
`housenumber`	The house number or house name within a road or street.
`postcode`	Can be used in combination with the previous parameters.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.
`x`, `y`	x and y coordinates (as longitude and latitude) to be converted into a human-readable address.

Details

Brief description of the API endpoints (source GISCO Address API \> Endpoints:

Endpoint	Description
`⁠/countries⁠`	Returns all country codes that are compatible with the address API. Check the coverage map for available countries and see here for a list of official country codes.
`⁠/provinces⁠`	Returns all provinces within the specified country. Can also be used to get the province of a specified city.
`⁠/cities⁠`	Returns all cities within a specified province or country.
`⁠/roads⁠`	Returns all roads or streets within a specified city.
`⁠/housenumbers⁠`	Returns all house numbers or names within the specified road. It is possible that in certain countries an address may not have a road component. In this case, if a road is not specified then the number of house numbers returned by the API is limited to 1000.
`⁠/postcodes⁠`	Returns all postcodes within the specified address component (Country or Province or City).
`⁠/search⁠`	The search endpoint allows structured queries to the address database. Please note that various combinations of each of the parameters can be used in order to retrieve the addresses that share an address component. The API is limited to a maximum of 100 addresses.
`⁠/reverse⁠`	The API's reverse theme allows you to specify x and y coordinates in order to retrieve a structured address.
`⁠/bbox⁠`	Returns a WKT bounding box for an address component depending on the parameters specified.
`⁠/copyright⁠`	Returns the copyright text for each available country in the Address API.

The resulting object may present the following variables:

Property name	Description
`LD`	Refers to "Locator Designator" and represents the house number part of the address
`TF`	Refers to "Thoroughfare" and represents the street or road part of the address
`L0`	Refers to Level 0 of the API administrative levels. Values are country codes consisting of 2 characters.
`L1`	Refers to Level 1 of the API administrative levels. Values are province names. Please note that "province" is a generic term that may differ between countries.
`L2`	Refers to Level 2 of the API administrative levels. Values are town or city names. Please note that "city" is a generic term that may differ between countries.
`PC`	Postal Code
`N0`	Refers to "NUTS 0"
`N1`	Refers to "NUTS 1"
`N2`	Refers to "NUTS 2"
`N3`	Refers to "NUTS 3"
`X` and `Y`	Refers to the x and y coordinates of the address point
`OL`	Refers to the address' Open Location Code

Value

A data.frame object in most cases, except gisco_addressapi_search(), gisco_addressapi_reverse() and gisco_addressapi_bbox(), that return a sf object.

Examples



# Cities in a region

gisco_addressapi_cities(country = "PT", province = "LISBOA")


# Geocode and reverse geocode with sf objects
# Structured search
struct <- gisco_addressapi_search(
  country = "ES", city = "BARCELONA",
  road = "GRACIA"
)

struct

# Reverse geocoding
reverse <- gisco_addressapi_reverse(x = struct$X[1], y = struct$Y[1])

reverse


# Cities in a region

gisco_addressapi_cities(country = "PT", province = "LISBOA")


# Geocode and reverse geocode with sf objects
# Structured search
struct <- gisco_addressapi_search(
  country = "ES", city = "BARCELONA",
  road = "GRACIA"
)

struct

# Reverse geocoding
reverse <- gisco_addressapi_reverse(x = struct$X[1], y = struct$Y[1])

reverse

Attribution when publishing GISCO data

Description

Get the legal text to be used along with the data downloaded with this package.

Usage

gisco_attributions(lang = "en", copyright = FALSE)
gisco_attributions(lang = "en", copyright = FALSE)

Arguments

`lang`	Language (two-letter ISO code). See https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes and Details.
`copyright`	Boolean `TRUE/FALSE`. Whether to display the copyright notice or not on the console.

Details

Current languages supported are:

"en": English.
"da": Danish.
"de": German.
"es": Spanish.
"fi": Finish.
"fr": French.
"no": Norwegian.
"sv": Swedish.

Please consider contributing if you spot any mistake or want to add a new language.

Value

A string with the attribution to be used.

Note

When data downloaded from GISCO is used in any printed or electronic publication, in addition to any other provisions applicable to the whole Eurostat website, data source will have to be acknowledged in the legend of the map and in the introductory page of the publication with the following copyright notice:

EN: (C) EuroGeographics for the administrative boundaries.
FR: (C) EuroGeographics pour les limites administratives.
DE: (C) EuroGeographics bezuglich der Verwaltungsgrenzen.

For publications in languages other than English, French or German, the translation of the copyright notice in the language of the publication shall be used.

If you intend to use the data commercially, please contact EuroGeographics for information regarding their licence agreements.

Examples

gisco_attributions()

gisco_attributions(lang = "es", copyright = TRUE)

gisco_attributions(lang = "XXX")
gisco_attributions()

gisco_attributions(lang = "es", copyright = TRUE)

gisco_attributions(lang = "XXX")

Bulk download from GISCO API

Description

Downloads zipped data from GISCO and extract them on the cache_dir folder.

Usage

gisco_bulk_download(
  id_giscoR = c("countries", "coastallines", "communes", "lau", "nuts", "urban_audit"),
  year = "2016",
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE,
  resolution = "10",
  ext = c("geojson", "shp", "svg", "json", "gdb"),
  recursive = TRUE
)
gisco_bulk_download(
  id_giscoR = c("countries", "coastallines", "communes", "lau", "nuts", "urban_audit"),
  year = "2016",
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE,
  resolution = "10",
  ext = c("geojson", "shp", "svg", "json", "gdb"),
  recursive = TRUE
)

Arguments

`id_giscoR`	Type of dataset to be downloaded. Values supported are: `"coastallines"`. `"communes"`. `"countries"`. `"lau"`. `"nuts"`. `"urban_audit"`.
`year`	Release year of the file. See Details.
`cache_dir`	A path to a cache directory. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.
`resolution`	Resolution of the geospatial data. One of `"60"`: 1:60million `"20"`: 1:20million `"10"`: 1:10million `"03"`: 1:3million `"01"`: 1:1million
`ext`	Extension of the file(s) to be downloaded. Formats available are `"geojson"`, `"shp"`, `"svg"`, `"json"`, `"gdb"`. See Details.
`recursive`	Tries to unzip recursively the zip files (if any) included in the initial bulk download (case of `ext = "shp"`).

Details

See the years available in the corresponding functions:

gisco_get_coastallines().
gisco_get_communes().
gisco_get_countries().
gisco_get_lau().
gisco_get_nuts().
gisco_get_urban_audit().

The usual extension used across giscoR is "geojson", however other formats are already available on GISCO.

Value

Silent function.

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

If you experience any problem on download, try to download the corresponding .geojson file by any other method and save it on your cache_dir. Use the option verbose = TRUE for debugging the API query.

For a complete list of files available check gisco_db.

Source

https://gisco-services.ec.europa.eu/distribution/v2/

Examples


## Not run: 

# Countries 2016 - It would take some time
gisco_bulk_download(id_giscoR = "countries", resolution = "60")

## End(Not run)

## Not run: 

# Countries 2016 - It would take some time
gisco_bulk_download(id_giscoR = "countries", resolution = "60")

## End(Not run)

Check access to GISCO API

Description

Check if R has access to resources at https://gisco-services.ec.europa.eu/distribution/v2/.

Usage

gisco_check_access()
gisco_check_access()

Value

a logical.

Examples


gisco_check_access()
gisco_check_access()

Clear your giscoR cache dir

Description

Use this function with caution. This function would clear your cached data and configuration, specifically:

Deletes the giscoR config directory (rappdirs::user_config_dir("giscoR", "R")).
Deletes the cache_dir directory.
Deletes the values on stored on Sys.getenv("GISCO_CACHE_DIR") and options(gisco_cache_dir).

Usage

gisco_clear_cache(config = FALSE, cached_data = TRUE, verbose = FALSE)
gisco_clear_cache(config = FALSE, cached_data = TRUE, verbose = FALSE)

Arguments

`config`	if `TRUE`, will delete the configuration folder of giscoR.
`cached_data`	If this is set to `TRUE`, it will delete your `cache_dir` and all its content.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.

Details

This is an overkill function that is intended to reset your status as it you would never have installed and/or used giscoR.

Value

Invisible. This function is called for its side effects.

Examples


# Don't run this! It would modify your current state
## Not run: 
gisco_clear_cache(verbose = TRUE)

Sys.getenv("GISCO_CACHE_DIR")

# Set new cache on a temp dir
newcache <- file.path(tempdir(), "giscoR", "pkgdown")

newcache

gisco_set_cache_dir(newcache)

Sys.getenv("GISCO_CACHE_DIR")

## End(Not run)
# Don't run this! It would modify your current state
## Not run: 
gisco_clear_cache(verbose = TRUE)

Sys.getenv("GISCO_CACHE_DIR")

# Set new cache on a temp dir
newcache <- file.path(tempdir(), "giscoR", "pkgdown")

newcache

gisco_set_cache_dir(newcache)

Sys.getenv("GISCO_CACHE_DIR")

## End(Not run)

World coastal lines `POLYGON` object

Description

A sf object as provided by GISCO (2016 version).

Format

A POLYGON sf object (resolution: 1:20million, EPSG:4326) with 3 variables:

COAS_ID: Coast ID.
FID: FID.
geometry: geometry field.

Source

COAS_RG_20M_2016_4326.geojson file.

Examples

data("gisco_coastallines")
head(gisco_coastallines)
data("gisco_coastallines")
head(gisco_coastallines)

World countries `POLYGON` `sf` object

Description

A sf object including all countries as provided by GISCO (2016 version).

Format

A MULTIPOLYGON data frame (resolution: 1:20million, EPSG:4326) object with 257 rows and 7 variables:

id: row ID.
CNTR_NAME: Official country name on local language.
ISO3_CODE: ISO 3166-1 alpha-3 code of each country, as provided by GISCO.
CNTR_ID: Country ID.
NAME_ENGL: Country name in English.
FID: FID.
geometry: geometry field.

Source

CNTR_RG_20M_2016_4326.geojson file.

Examples


data("gisco_countries")
head(gisco_countries)

data("gisco_countries")
head(gisco_countries)

Data frame with different country code schemes and world regions

Description

A data frame containing conversions between different country code schemes (Eurostat/ISO2 and 3) as well as geographic regions as provided by the World Bank and the UN (M49). This data set is extracted from countrycode package.

Format

A data frame object with 249 rows and 13 variables:

ISO3_CODE: Eurostat code of each country.
CNTR_CODE: ISO 3166-1 alpha-2 code of each country.
iso2c: ISO 3166-1 alpha-3 code of each country.
iso.name.en: ISO English short name.
cldr.short.en: English short name as provided by the Unicode Common Locale Data Repository.
continent: As provided by the World Bank.
un.region.code: Numeric region code UN (M49).
un.region.name: Region name UN (M49).
un.regionintermediate.code: Numeric intermediate Region.
un.regionintermediate.name: Intermediate Region name UN (M49).
un.regionsub.code: Numeric sub-region code UN (M49).
un.regionsub.name: Sub-Region name UN (M49).
eu: Logical indicating if the country belongs to the European Union.

Source

countrycode::codelist v1.2.0.

Examples


data("gisco_countrycode")
dplyr::glimpse(gisco_countrycode)

data("gisco_countrycode")
dplyr::glimpse(gisco_countrycode)

Get location of airports and ports from GISCO API

Description

Loads a sf object from GISCO API or your local library.

Usage

gisco_get_airports(
  year = "2013",
  country = NULL,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)

gisco_get_ports(
  year = "2013",
  country = NULL,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)
gisco_get_airports(
  year = "2013",
  country = NULL,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)

gisco_get_ports(
  year = "2013",
  country = NULL,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)

Arguments

`year`	Year of reference. Only year available right now is `"2013"`.
`country`	Optional. A character vector of country codes. It could be either a vector of country names, a vector of ISO3 country codes or a vector of Eurostat country codes. Mixed types (as `c("Italy","ES","FRA")`) would not work. See also `countrycode::countrycode()`.
`cache_dir`	A path to a cache directory. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.

Details

gisco_get_airports() refer to Europe. All shapefiles provided in EPSG:4326.

gisco_get_ports() adds a new field CNTR_ISO2 to the original data identifying the country of the port. Worldwide information available. The port codes are aligned with UN/LOCODE standard.

Value

A POINT object on EPSG:4326.

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

For a complete list of files available check gisco_db.

Source

https://ec.europa.eu/eurostat/web/gisco/geodata/transport-networks

Examples



library(sf)

greece <- gisco_get_countries(country = "EL", resolution = 3)
airp_gc <- gisco_get_airports(country = "EL")

library(ggplot2)

if (inherits(airp_gc, "sf")) {
  ggplot(greece) +
    geom_sf(fill = "grey80") +
    geom_sf(data = airp_gc, color = "blue") +
    labs(
      title = "Airports on Greece",
      shape = NULL,
      color = NULL,
      caption = gisco_attributions()
    )
}
##############################
#         Plot ports         #
##############################

ports <- gisco_get_ports()
coast <- giscoR::gisco_coastallines

# To Robinson projection :)

library(sf)
coast <- st_transform(coast, "ESRI:54030")
ports <- st_transform(ports, st_crs(coast))

if (inherits(ports, "sf")) {
  ggplot(coast) +
    geom_sf(fill = "#F6E1B9", color = "#0978AB") +
    geom_sf(data = ports, fill = "red", shape = 21) +
    theme_void() +
    theme(
      panel.background = element_rect(fill = "#C6ECFF"),
      panel.grid = element_blank(),
      plot.title = element_text(face = "bold", hjust = 0.5),
      plot.subtitle = element_text(face = "italic", hjust = 0.5)
    ) +
    labs(
      title = "Ports Worldwide", subtitle = "Year 2013",
      caption = "(c) European Union, 1995 - today"
    )
}


library(sf)

greece <- gisco_get_countries(country = "EL", resolution = 3)
airp_gc <- gisco_get_airports(country = "EL")

library(ggplot2)

if (inherits(airp_gc, "sf")) {
  ggplot(greece) +
    geom_sf(fill = "grey80") +
    geom_sf(data = airp_gc, color = "blue") +
    labs(
      title = "Airports on Greece",
      shape = NULL,
      color = NULL,
      caption = gisco_attributions()
    )
}
##############################
#         Plot ports         #
##############################

ports <- gisco_get_ports()
coast <- giscoR::gisco_coastallines

# To Robinson projection :)

library(sf)
coast <- st_transform(coast, "ESRI:54030")
ports <- st_transform(ports, st_crs(coast))

if (inherits(ports, "sf")) {
  ggplot(coast) +
    geom_sf(fill = "#F6E1B9", color = "#0978AB") +
    geom_sf(data = ports, fill = "red", shape = 21) +
    theme_void() +
    theme(
      panel.background = element_rect(fill = "#C6ECFF"),
      panel.grid = element_blank(),
      plot.title = element_text(face = "bold", hjust = 0.5),
      plot.subtitle = element_text(face = "italic", hjust = 0.5)
    ) +
    labs(
      title = "Ports Worldwide", subtitle = "Year 2013",
      caption = "(c) European Union, 1995 - today"
    )
}

Get GISCO coastlines `sf` polygons

Description

Downloads worldwide coastlines

Usage

gisco_get_coastallines(
  year = "2016",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = "20"
)
gisco_get_coastallines(
  year = "2016",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = "20"
)

Arguments

`year`	Release year. One of `"2006"`, `"2010"`, `"2013"` or `"2016"`.
`epsg`	projection of the map: 4-digit EPSG code. One of: `"4258"`: ETRS89 `"4326"`: WGS84 `"3035"`: ETRS89 / ETRS-LAEA `"3857"`: Pseudo-Mercator
`cache`	A logical whether to do caching. Default is `TRUE`. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`cache_dir`	A path to a cache directory. See About caching.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.
`resolution`	Resolution of the geospatial data. One of `"60"`: 1:60million `"20"`: 1:20million `"10"`: 1:10million `"03"`: 1:3million `"01"`: 1:1million

Value

A sf POLYGON object.

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

For a complete list of files available check gisco_db.

Note

Please check the download and usage provisions on gisco_attributions().

Source

https://gisco-services.ec.europa.eu/distribution/v2/

Examples


coast <- gisco_get_coastallines()

library(ggplot2)

ggplot(coast) +
  geom_sf(color = "#1278AB", fill = "#FDFBEA") +
  # Zoom on Caribe
  coord_sf(
    xlim = c(-99, -49),
    ylim = c(4, 30)
  ) +
  theme_minimal() +
  theme(
    panel.background = element_rect(fill = "#C7E7FB", color = NA),
    panel.border = element_rect(colour = "black", fill = NA)
  )

coast <- gisco_get_coastallines()

library(ggplot2)

ggplot(coast) +
  geom_sf(color = "#1278AB", fill = "#FDFBEA") +
  # Zoom on Caribe
  coord_sf(
    xlim = c(-99, -49),
    ylim = c(4, 30)
  ) +
  theme_minimal() +
  theme(
    panel.background = element_rect(fill = "#C7E7FB", color = NA),
    panel.border = element_rect(colour = "black", fill = NA)
  )

Get GISCO world country `sf` polygons, points and lines

Description

Returns world country polygons, lines and points at a specified scale, as provided by GISCO. Also, specific areas as Gibraltar or Antarctica are presented separately. The definition of country used on GISCO correspond roughly with territories with an official ISO-3166 code.

Usage

gisco_get_countries(
  year = "2016",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = "20",
  spatialtype = "RG",
  country = NULL,
  region = NULL
)
gisco_get_countries(
  year = "2016",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = "20",
  spatialtype = "RG",
  country = NULL,
  region = NULL
)

Arguments

`year`	Release year of the file. One of `"2001"`, `"2006"`, `"2010"`, `"2013"`, `"2016"`, `"2020"` or `"2024"`.
`epsg`	projection of the map: 4-digit EPSG code. One of: `"4258"`: ETRS89 `"4326"`: WGS84 `"3035"`: ETRS89 / ETRS-LAEA `"3857"`: Pseudo-Mercator
`cache`	A logical whether to do caching. Default is `TRUE`. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`cache_dir`	A path to a cache directory. See About caching.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.
`resolution`	Resolution of the geospatial data. One of `"60"`: 1:60million `"20"`: 1:20million `"10"`: 1:10million `"03"`: 1:3million `"01"`: 1:1million
`spatialtype`	Type of geometry to be returned: `"BN"`: Boundaries - `LINESTRING` object. `"COASTL"`: coastlines - `LINESTRING` object. `"INLAND"`: inland boundaries - `LINESTRING` object. `"LB"`: Labels - `POINT` object. `"RG"`: Regions - `MULTIPOLYGON/POLYGON` object. Note that parameters `country` and `region` would be only applied when `spatialtype` is `"BN"` or `"RG"`.
`country`	Optional. A character vector of country codes. It could be either a vector of country names, a vector of ISO3 country codes or a vector of Eurostat country codes. Mixed types (as `c("Italy","ES","FRA")`) would not work. See also `countrycode::countrycode()`.
`region`	Optional. A character vector of UN M49 region codes or European Union membership. Possible values are `"Africa"`, `"Americas"`, `"Asia"`, `"Europe"`, `"Oceania"` or `"EU"` for countries belonging to the European Union (as per 2021). See About world regions and gisco_countrycode.

Value

A sf object specified by spatialtype.

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

For a complete list of files available check gisco_db.

World Regions

Regions are defined as per the geographic regions defined by the UN (see https://unstats.un.org/unsd/methodology/m49/. Under this scheme Cyprus is assigned to Asia. You may use region = "EU" to get the EU members (reference date: 2021).

Note

Please check the download and usage provisions on gisco_attributions().

Source

https://gisco-services.ec.europa.eu/distribution/v2/

Examples


cntries <- gisco_get_countries()

library(ggplot2)
ggplot(cntries) +
  geom_sf()

# Get a region

africa <- gisco_get_countries(region = "Africa")
ggplot(africa) +
  geom_sf(fill = "#078930", col = "white") +
  theme_minimal()

cntries <- gisco_get_countries()

library(ggplot2)
ggplot(cntries) +
  geom_sf()

# Get a region

africa <- gisco_get_countries(region = "Africa")
ggplot(africa) +
  geom_sf(fill = "#078930", col = "white") +
  theme_minimal()

Get locations of education services in Europe

Description

The dataset contains information on main education services by Member States.

Usage

gisco_get_education(
  year = c("2023", "2020"),
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  country = NULL
)
gisco_get_education(
  year = c("2023", "2020"),
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  country = NULL
)

Arguments

`year`	Release year of the file. One of `"2020"`, `"2023"` (default).
`cache`	A logical whether to do caching. Default is `TRUE`. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`cache_dir`	A path to a cache directory. See About caching.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.
`country`	Optional. A character vector of country codes. It could be either a vector of country names, a vector of ISO3 country codes or a vector of Eurostat country codes. Mixed types (as `c("Italy","ES","FRA")`) would not work. See also `countrycode::countrycode()`.

Details

Files are distributed on EPSG:4326. Metadata available on https://gisco-services.ec.europa.eu/pub/education/metadata.pdf.

Value

A POINT sf object.

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

For a complete list of files available check gisco_db.

Author(s)

dieghernan, https://github.com/dieghernan/

Source

https://ec.europa.eu/eurostat/web/gisco/geodata/basic-services

Examples




edu_BEL <- gisco_get_education(country = "Belgium")

# Plot if downloaded
if (nrow(edu_BEL) > 3) {
  library(ggplot2)
  ggplot(edu_BEL) +
    geom_sf(shape = 21, size = 0.15)
}


edu_BEL <- gisco_get_education(country = "Belgium")

# Plot if downloaded
if (nrow(edu_BEL) > 3) {
  library(ggplot2)
  ggplot(edu_BEL) +
    geom_sf(shape = 21, size = 0.15)
}

Get grid cells covering covering Europe for various resolutions

Description

These datasets contain grid cells covering the European land territory, for various resolutions from 1km to 100km. Base statistics such as population figures are provided for these cells.

Usage

gisco_get_grid(
  resolution = "20",
  spatialtype = c("REGION", "POINT"),
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)
gisco_get_grid(
  resolution = "20",
  spatialtype = c("REGION", "POINT"),
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)

Arguments

`resolution`	Resolution of the grid cells on kms. Available values are `"1"`, `"2"`, `"5"`, `"10"`, `"20"`, `"50"`, `"100"`. See Details.
`spatialtype`	Select one of `"REGION"` or `"POINT"`.
`cache_dir`	A path to a cache directory. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.

Details

Files are distributed on EPSG:3035.

The file sizes range is from 428Kb (resolution = "100") to 1.7Gb resolution = "1". For resolutions 1km and 2km you would need to confirm the download.

Value

A POLYGON/POINT sf object.

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

For a complete list of files available check gisco_db.

Note

There are specific downloading provisions, please see https://ec.europa.eu/eurostat/web/gisco/geodata/grids

Author(s)

dieghernan, https://github.com/dieghernan/

Source

https://ec.europa.eu/eurostat/web/gisco/geodata/grids

Examples



grid <- gisco_get_grid(resolution = 20)

# If downloaded correctly proceed

if (!is.null(grid)) {
  library(dplyr)

  grid <- grid %>%
    mutate(popdens = TOT_P_2021 / 20)

  breaks <- c(0, 0.1, 100, 500, 1000, 5000, 10000, Inf)

  # Cut groups
  grid <- grid %>%
    mutate(popdens_cut = cut(popdens,
      breaks = breaks,
      include.lowest = TRUE
    ))

  cut_labs <- prettyNum(breaks, big.mark = " ")[-1]
  cut_labs[1] <- "0"
  cut_labs[7] <- "> 10 000"

  pal <- c("black", hcl.colors(length(breaks) - 2,
    palette = "Spectral",
    alpha = 0.9
  ))

  library(ggplot2)

  ggplot(grid) +
    geom_sf(aes(fill = popdens_cut), color = NA, linewidth = 0) +
    coord_sf(
      xlim = c(2500000, 7000000),
      ylim = c(1500000, 5200000)
    ) +
    scale_fill_manual(
      values = pal, na.value = "black",
      name = "people per sq. kilometer",
      labels = cut_labs,
      guide = guide_legend(
        direction = "horizontal",
        nrow = 1
      )
    ) +
    theme_void() +
    labs(
      title = "Population density in Europe (2021)",
      subtitle = "Grid: 20 km.",
      caption = gisco_attributions()
    ) +
    theme(
      text = element_text(colour = "white"),
      plot.background = element_rect(fill = "grey2"),
      plot.title = element_text(hjust = 0.5),
      plot.subtitle = element_text(hjust = 0.5, face = "bold"),
      plot.caption = element_text(
        color = "grey60", hjust = 0.5, vjust = 0,
        margin = margin(t = 5, b = 10)
      ),
      legend.position = "bottom",
      legend.title.position = "top",
      legend.text.position = "bottom",
      legend.key.height = unit(0.5, "lines"),
      legend.key.width = unit(1, "lines")
    )
}


grid <- gisco_get_grid(resolution = 20)

# If downloaded correctly proceed

if (!is.null(grid)) {
  library(dplyr)

  grid <- grid %>%
    mutate(popdens = TOT_P_2021 / 20)

  breaks <- c(0, 0.1, 100, 500, 1000, 5000, 10000, Inf)

  # Cut groups
  grid <- grid %>%
    mutate(popdens_cut = cut(popdens,
      breaks = breaks,
      include.lowest = TRUE
    ))

  cut_labs <- prettyNum(breaks, big.mark = " ")[-1]
  cut_labs[1] <- "0"
  cut_labs[7] <- "> 10 000"

  pal <- c("black", hcl.colors(length(breaks) - 2,
    palette = "Spectral",
    alpha = 0.9
  ))

  library(ggplot2)

  ggplot(grid) +
    geom_sf(aes(fill = popdens_cut), color = NA, linewidth = 0) +
    coord_sf(
      xlim = c(2500000, 7000000),
      ylim = c(1500000, 5200000)
    ) +
    scale_fill_manual(
      values = pal, na.value = "black",
      name = "people per sq. kilometer",
      labels = cut_labs,
      guide = guide_legend(
        direction = "horizontal",
        nrow = 1
      )
    ) +
    theme_void() +
    labs(
      title = "Population density in Europe (2021)",
      subtitle = "Grid: 20 km.",
      caption = gisco_attributions()
    ) +
    theme(
      text = element_text(colour = "white"),
      plot.background = element_rect(fill = "grey2"),
      plot.title = element_text(hjust = 0.5),
      plot.subtitle = element_text(hjust = 0.5, face = "bold"),
      plot.caption = element_text(
        color = "grey60", hjust = 0.5, vjust = 0,
        margin = margin(t = 5, b = 10)
      ),
      legend.position = "bottom",
      legend.title.position = "top",
      legend.text.position = "bottom",
      legend.key.height = unit(0.5, "lines"),
      legend.key.width = unit(1, "lines")
    )
}

Get locations of healthcare services in Europe

Description

The dataset contains information on main healthcare services considered to be 'hospitals' by Member States.

Usage

gisco_get_healthcare(
  year = c("2023", "2020"),
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  country = NULL
)
gisco_get_healthcare(
  year = c("2023", "2020"),
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  country = NULL
)

Arguments

`year`	Release year of the file. One of `"2020"`, `"2023"` (default).
`cache`	A logical whether to do caching. Default is `TRUE`. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`cache_dir`	A path to a cache directory. See About caching.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.
`country`	Optional. A character vector of country codes. It could be either a vector of country names, a vector of ISO3 country codes or a vector of Eurostat country codes. Mixed types (as `c("Italy","ES","FRA")`) would not work. See also `countrycode::countrycode()`.

Details

Files are distributed on EPSG:4326. Metadata available on https://gisco-services.ec.europa.eu/pub/healthcare/metadata.pdf.

Value

A POINT sf object.

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

For a complete list of files available check gisco_db.

Author(s)

dieghernan, https://github.com/dieghernan/

Source

https://ec.europa.eu/eurostat/web/gisco/geodata/basic-services

Examples




health_be <- gisco_get_healthcare(country = "Belgium")

# Plot if downloaded
if (inherits(health_be, "sf")) {
  library(ggplot2)
  ggplot(health_be) +
    geom_sf()
}


health_be <- gisco_get_healthcare(country = "Belgium")

# Plot if downloaded
if (inherits(health_be, "sf")) {
  library(ggplot2)
  ggplot(health_be) +
    geom_sf()
}

Get GISCO urban areas `sf` polygons, points and lines

Description

gisco_get_communes() and gisco_get_lau() download shapes of Local Urban Areas, that correspond roughly with towns and cities.

Usage

gisco_get_communes(
  year = "2016",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  spatialtype = "RG",
  country = NULL
)

gisco_get_lau(
  year = "2021",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  country = NULL,
  gisco_id = NULL
)
gisco_get_communes(
  year = "2016",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  spatialtype = "RG",
  country = NULL
)

gisco_get_lau(
  year = "2021",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  country = NULL,
  gisco_id = NULL
)

Arguments

`year`	Release year of the file: For `gisco_get_communes()` one of `"2001"`, `"2004"`, `"2006"`, `"2008"`, `"2010"`, `"2013"` or `"2016"`. For `gisco_get_lau()` one of `"2011"`, `"2012"`, `"2013"`, `"2014"`, `"2015"`, `"2016"`, `"2017"`, `"2018"`, `"2019"`, `"2020"` or `"2021"`.
`epsg`	projection of the map: 4-digit EPSG code. One of: `"4258"`: ETRS89 `"4326"`: WGS84 `"3035"`: ETRS89 / ETRS-LAEA `"3857"`: Pseudo-Mercator
`cache`	A logical whether to do caching. Default is `TRUE`. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`cache_dir`	A path to a cache directory. See About caching.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.
`spatialtype`	Type of geometry to be returned: `"BN"`: Boundaries - `LINESTRING` object. `"COASTL"`: coastlines - `LINESTRING` object. `"INLAND"`: inland boundaries - `LINESTRING` object. `"LB"`: Labels - `POINT` object. `"RG"`: Regions - `MULTIPOLYGON/POLYGON` object. Note that parameters `country` and `region` would be only applied when `spatialtype` is `"BN"` or `"RG"`.
`country`	Optional. A character vector of country codes. It could be either a vector of country names, a vector of ISO3 country codes or a vector of Eurostat country codes. Mixed types (as `c("Italy","ES","FRA")`) would not work. See also `countrycode::countrycode()`.
`gisco_id`	Optional. A character vector of GISCO_ID LAU values.

Value

A sf object specified by spatialtype. In the case of gisco_get_lau(), a POLYGON object.

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

For a complete list of files available check gisco_db.

Note

Please check the download and usage provisions on gisco_attributions().

Examples




ire_lau <- gisco_get_communes(spatialtype = "LB", country = "Ireland")

if (!is.null(ire_lau)) {
  library(ggplot2)

  ggplot(ire_lau) +
    geom_sf(shape = 21, col = "#009A44", size = 0.5) +
    labs(
      title = "Communes in Ireland",
      subtitle = "Year 2016",
      caption = gisco_attributions()
    ) +
    theme_void() +
    theme(text = element_text(
      colour = "#009A44",
      family = "serif", face = "bold"
    ))
}


ire_lau <- gisco_get_communes(spatialtype = "LB", country = "Ireland")

if (!is.null(ire_lau)) {
  library(ggplot2)

  ggplot(ire_lau) +
    geom_sf(shape = 21, col = "#009A44", size = 0.5) +
    labs(
      title = "Communes in Ireland",
      subtitle = "Year 2016",
      caption = gisco_attributions()
    ) +
    theme_void() +
    theme(text = element_text(
      colour = "#009A44",
      family = "serif", face = "bold"
    ))
}

Get GISCO NUTS `sf` polygons, points and lines

Description

Returns NUTS regions polygons, lines and points at a specified scale, as provided by GISCO.

NUTS are provided at three different levels:

"0": Country level
"1": Groups of states/regions
"2": States/regions
"3": Counties/provinces/districts

Note that NUTS-level definition may vary across countries. See also https://ec.europa.eu/eurostat/web/gisco/geodata//statistical-units/territorial-units-statistics.

Usage

gisco_get_nuts(
  year = "2016",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = "20",
  spatialtype = "RG",
  country = NULL,
  nuts_id = NULL,
  nuts_level = "all"
)
gisco_get_nuts(
  year = "2016",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = "20",
  spatialtype = "RG",
  country = NULL,
  nuts_id = NULL,
  nuts_level = "all"
)

Arguments

`year`	Release year of the file. One of `"2003"`, `"2006"`, `"2010"`, `"2013"`, `"2016"`, `"2021"` or `"2024"`.
`epsg`	projection of the map: 4-digit EPSG code. One of: `"4258"`: ETRS89 `"4326"`: WGS84 `"3035"`: ETRS89 / ETRS-LAEA `"3857"`: Pseudo-Mercator
`cache`	A logical whether to do caching. Default is `TRUE`. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`cache_dir`	A path to a cache directory. See About caching.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.
`resolution`	Resolution of the geospatial data. One of `"60"`: 1:60million `"20"`: 1:20million `"10"`: 1:10million `"03"`: 1:3million `"01"`: 1:1million
`spatialtype`	Type of geometry to be returned: `"BN"`: Boundaries - `LINESTRING` object. `"LB"`: Labels - `POINT` object. `"RG"`: Regions - `MULTIPOLYGON/POLYGON` object. Note that parameters `country`, `nuts_level` and `nuts_id` would be only applied when `spatialtype` is `"BN"` or `"RG"`.
`country`	Optional. A character vector of country codes. It could be either a vector of country names, a vector of ISO3 country codes or a vector of Eurostat country codes. Mixed types (as `c("Italy","ES","FRA")`) would not work. See also `countrycode::countrycode()`.
`nuts_id`	Optional. A character vector of NUTS IDs.
`nuts_level`	NUTS level. One of `"0"`, `"1"`, `"2"` or `"3"`. See Description.

Value

A sf object specified by spatialtype. The resulting sf object would present an additional column geo (equal to NUTS_ID) for improving compatibility with eurostat package. See eurostat::get_eurostat_geospatial()).

See also gisco_nuts to understand the columns and values provided.

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

For a complete list of files available check gisco_db.

Source

https://gisco-services.ec.europa.eu/distribution/v2/

Examples

nuts2 <- gisco_get_nuts(nuts_level = 2)

library(ggplot2)

ggplot(nuts2) +
  geom_sf() +
  # ETRS89 / ETRS-LAEA
  coord_sf(
    crs = 3035, xlim = c(2377294, 7453440),
    ylim = c(1313597, 5628510)
  ) +
  labs(title = "NUTS-2 levels")

# NUTS-3 for Germany
germany_nuts3 <- gisco_get_nuts(nuts_level = 3, country = "Germany")

ggplot(germany_nuts3) +
  geom_sf() +
  labs(
    title = "NUTS-3 levels",
    subtitle = "Germany",
    caption = gisco_attributions()
  )


# Select specific regions
select_nuts <- gisco_get_nuts(nuts_id = c("ES2", "FRJ", "FRL", "ITC"))

ggplot(select_nuts) +
  geom_sf(aes(fill = CNTR_CODE)) +
  scale_fill_viridis_d()

nuts2 <- gisco_get_nuts(nuts_level = 2)

library(ggplot2)

ggplot(nuts2) +
  geom_sf() +
  # ETRS89 / ETRS-LAEA
  coord_sf(
    crs = 3035, xlim = c(2377294, 7453440),
    ylim = c(1313597, 5628510)
  ) +
  labs(title = "NUTS-2 levels")

# NUTS-3 for Germany
germany_nuts3 <- gisco_get_nuts(nuts_level = 3, country = "Germany")

ggplot(germany_nuts3) +
  geom_sf() +
  labs(
    title = "NUTS-3 levels",
    subtitle = "Germany",
    caption = gisco_attributions()
  )


# Select specific regions
select_nuts <- gisco_get_nuts(nuts_id = c("ES2", "FRJ", "FRL", "ITC"))

ggplot(select_nuts) +
  geom_sf(aes(fill = CNTR_CODE)) +
  scale_fill_viridis_d()

Get postal code points from GISCO

Description

Get postal codes points of the EU, EFTA and candidate countries.

Usage

gisco_get_postalcodes(
  year = "2020",
  country = NULL,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)
gisco_get_postalcodes(
  year = "2020",
  country = NULL,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)

Arguments

`year`	Year of reference. Currently only `"2020"` is available.
`country`	Optional. A character vector of country codes. It could be either a vector of country names, a vector of ISO3 country codes or a vector of Eurostat country codes. Mixed types (as `c("Italy","ES","FRA")`) would not work. See also `countrycode::countrycode()`.
`cache_dir`	A path to a cache directory. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.

Details

The postal code point dataset shows the location of postal codes, NUTS codes and the Degree of Urbanisation classification across the EU, EFTA and candidate countries from a variety of sources. Its primary purpose is to create correspondence tables for the NUTS classification (EC) 1059/2003 as part of the Tercet Regulation (EU) 2017/2391

Value

A POINT sf object on EPSG:4326.

Copyright

The dataset is released under the CC-BY-SA-4.0 licence and requires the following attribution whenever used:

(c) European Union - GISCO, 2021, postal code point dataset, Licence CC-BY-SA 4.0 available at https://ec.europa.eu/eurostat/web/gisco/geodata//administrative-units/postal-codes.

Shapefiles provided in ETRS89 (EPSG:4258).

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

For a complete list of files available check gisco_db.

Source

https://ec.europa.eu/eurostat/web/gisco/geodata//administrative-units/postal-codes.

Examples



# Heavy-weight download!
## Not run: 

pc_bel <- gisco_get_postalcodes(country = "BE")

if (!is.null(pc_bel)) {
  library(ggplot2)

  ggplot(pc_bel) +
    geom_sf(color = "gold") +
    theme_bw() +
    labs(
      title = "Postcodes of Belgium",
      subtitle = "2020",
      caption = paste("(c) European Union - GISCO, 2021,",
        "postal code point dataset",
        "Licence CC-BY-SA 4.0",
        sep = "\n"
      )
    )
}

## End(Not run)

# Heavy-weight download!
## Not run: 

pc_bel <- gisco_get_postalcodes(country = "BE")

if (!is.null(pc_bel)) {
  library(ggplot2)

  ggplot(pc_bel) +
    geom_sf(color = "gold") +
    theme_bw() +
    labs(
      title = "Postcodes of Belgium",
      subtitle = "2020",
      caption = paste("(c) European Union - GISCO, 2021,",
        "postal code point dataset",
        "Licence CC-BY-SA 4.0",
        sep = "\n"
      )
    )
}

## End(Not run)

Get geospatial units data from GISCO API

Description

Download individual shapefiles of units. Unlike gisco_get_countries(), gisco_get_nuts() or gisco_get_urban_audit(), that downloads a full dataset and applies filters, gisco_get_units() downloads a single shapefile for each unit.

Usage

gisco_get_units(
  id_giscoR = c("nuts", "countries", "urban_audit"),
  unit = "ES4",
  mode = c("sf", "df"),
  year = "2016",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = "20",
  spatialtype = "RG"
)
gisco_get_units(
  id_giscoR = c("nuts", "countries", "urban_audit"),
  unit = "ES4",
  mode = c("sf", "df"),
  year = "2016",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  resolution = "20",
  spatialtype = "RG"
)

Arguments

`id_giscoR`	Select the `unit` type to be downloaded. Accepted values are `"nuts"`, `"countries"` or `"urban_audit"`.
`unit`	Unit ID to be downloaded. See Details.
`mode`	Controls the output of the function. Possible values are `"sf"` or `"df"`. See Value and Details.
`year`	Release year of the file. One of `"2001"`, `"2006"`, `"2010"`, `"2013"`, `"2016"`, `"2020"` or `"2024"`.
`epsg`	projection of the map: 4-digit EPSG code. One of: `"4258"`: ETRS89 `"4326"`: WGS84 `"3035"`: ETRS89 / ETRS-LAEA `"3857"`: Pseudo-Mercator
`cache`	A logical whether to do caching. Default is `TRUE`. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`cache_dir`	A path to a cache directory. See About caching.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.
`resolution`	Resolution of the geospatial data. One of `"60"`: 1:60million `"20"`: 1:20million `"10"`: 1:10million `"03"`: 1:3million `"01"`: 1:1million
`spatialtype`	Type of geometry to be returned: `"RG"`, for `POLYGON` and `"LB"` for `POINT`.

Details

The function can return a data frame on mode = "df" or a sf object on mode = "sf".

In order to see the available unit ids with the required combination of ⁠spatialtype, year⁠, first run the function on "df" mode. Once that you get the data frame you can select the required ids on the unit parameter.

On mode = "df" the only relevant parameters are ⁠spatialtype, year⁠.

Value

A sf object on mode = "sf" or a data frame on mode = "df".

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

For a complete list of files available check gisco_db.

Note

Country-level files would be renamed on your cache_dir to avoid naming conflicts with NUTS-0 datasets.

Please check the download and usage provisions on gisco_attributions().

Author(s)

dieghernan, https://github.com/dieghernan/

Source

https://gisco-services.ec.europa.eu/distribution/v2/

Examples



cities <- gisco_get_units(
  id_giscoR = "urban_audit",
  mode = "df",
  year = "2020"
)
VAL <- cities[grep("Valencia", cities$URAU_NAME), ]
#   Order from big to small
VAL <- VAL[order(as.double(VAL$AREA_SQM), decreasing = TRUE), ]

VAL.sf <- gisco_get_units(
  id_giscoR = "urban_audit",
  year = "2020",
  unit = VAL$URAU_CODE
)
# Provincia
Provincia <-
  gisco_get_units(
    id_giscoR = "nuts",
    unit = c("ES523"),
    resolution = "01"
  )

# Reorder
VAL.sf$URAU_CATG <- factor(VAL.sf$URAU_CATG, levels = c("F", "K", "C"))

# Plot
library(ggplot2)

ggplot(Provincia) +
  geom_sf(fill = "gray1") +
  geom_sf(data = VAL.sf, aes(fill = URAU_CATG)) +
  scale_fill_viridis_d() +
  labs(
    title = "Valencia",
    subtitle = "Urban Audit",
    fill = "Urban Audit\ncategory"
  )


cities <- gisco_get_units(
  id_giscoR = "urban_audit",
  mode = "df",
  year = "2020"
)
VAL <- cities[grep("Valencia", cities$URAU_NAME), ]
#   Order from big to small
VAL <- VAL[order(as.double(VAL$AREA_SQM), decreasing = TRUE), ]

VAL.sf <- gisco_get_units(
  id_giscoR = "urban_audit",
  year = "2020",
  unit = VAL$URAU_CODE
)
# Provincia
Provincia <-
  gisco_get_units(
    id_giscoR = "nuts",
    unit = c("ES523"),
    resolution = "01"
  )

# Reorder
VAL.sf$URAU_CATG <- factor(VAL.sf$URAU_CATG, levels = c("F", "K", "C"))

# Plot
library(ggplot2)

ggplot(Provincia) +
  geom_sf(fill = "gray1") +
  geom_sf(data = VAL.sf, aes(fill = URAU_CATG)) +
  scale_fill_viridis_d() +
  labs(
    title = "Valencia",
    subtitle = "Urban Audit",
    fill = "Urban Audit\ncategory"
  )

Get GISCO greater cities and metropolitan areas `sf` objects

Description

Returns polygons and points corresponding to cities, greater cities and metropolitan areas included on the Urban Audit report of Eurostat.

Usage

gisco_get_urban_audit(
  year = "2021",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  spatialtype = "RG",
  country = NULL,
  level = NULL
)
gisco_get_urban_audit(
  year = "2021",
  epsg = "4326",
  cache = TRUE,
  update_cache = FALSE,
  cache_dir = NULL,
  verbose = FALSE,
  spatialtype = "RG",
  country = NULL,
  level = NULL
)

Arguments

`year`	Release year of the file. One of `"2001"`, `"2004"`, `"2014"`, `"2018"`, `"2020"` or `"2021"`.
`epsg`	projection of the map: 4-digit EPSG code. One of: `"4258"`: ETRS89 `"4326"`: WGS84 `"3035"`: ETRS89 / ETRS-LAEA `"3857"`: Pseudo-Mercator
`cache`	A logical whether to do caching. Default is `TRUE`. See About caching.
`update_cache`	A logical whether to update cache. Default is `FALSE`. When set to `TRUE` it would force a fresh download of the source `.geojson` file.
`cache_dir`	A path to a cache directory. See About caching.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.
`spatialtype`	Type of geometry to be returned: `"LB"`: Labels - `POINT` object. `"RG"`: Regions - `MULTIPOLYGON/POLYGON` object.
`country`	Optional. A character vector of country codes. It could be either a vector of country names, a vector of ISO3 country codes or a vector of Eurostat country codes. Mixed types (as `c("Italy","ES","FRA")`) would not work. See also `countrycode::countrycode()`.
`level`	Level of Urban Audit. Possible values are `"CITIES"`, `"FUA"`, `"GREATER_CITIES"` or `NULL`, that would download the full dataset.

Value

A sf object specified by spatialtype.

About caching

You can set your cache_dir with gisco_set_cache_dir().

Sometimes cached files may be corrupt. On that case, try re-downloading the data setting update_cache = TRUE.

For a complete list of files available check gisco_db.

Note

Please check the download and usage provisions on gisco_attributions().

Source

https://gisco-services.ec.europa.eu/distribution/v2/

Examples



cities <- gisco_get_urban_audit(year = "2020", level = "CITIES")

if (!is.null(cities)) {
  bcn <- cities[cities$URAU_NAME == "Barcelona", ]

  library(ggplot2)
  ggplot(bcn) +
    geom_sf()
}


cities <- gisco_get_urban_audit(year = "2020", level = "CITIES")

if (!is.null(cities)) {
  bcn <- cities[cities$URAU_NAME == "Barcelona", ]

  library(ggplot2)
  ggplot(bcn) +
    geom_sf()
}

All NUTS `POLYGON` object

Description

A sf object including all NUTS levels as provided by GISCO (2016 version).

Format

A POLYGON data frame (resolution: 1:20million, EPSG:4326) object with 2,016 rows and 11 variables:

NUTS_ID: NUTS identifier.
LEVL_CODE: NUTS level code ⁠(0,1,2,3)⁠.
URBN_TYPE: Urban Type, see Details.
CNTR_CODE: Eurostat Country code.
NAME_LATN: NUTS name on Latin characters.
NUTS_NAME: NUTS name on local alphabet.
MOUNT_TYPE: Mount Type, see Details.
COAST_TYPE: Coast Type, see Details.
FID: FID.
geo: Same as NUTS_ID, provided for compatibility with eurostat.
geometry: geometry field.

Details

MOUNT_TYPE: Mountain typology:

1: More than 50 % of the surface is covered by topographic mountain areas.
2: More than 50 % of the regional population lives in topographic mountain areas.
3: More than 50 % of the surface is covered by topographic mountain areas and where more than 50 % of the regional population lives in these mountain areas.
4: Non-mountain region / other regions.
0: No classification provided.

URBN_TYPE: Urban-rural typology:

1: Predominantly urban region.
2: Intermediate region.
3: Predominantly rural region.
0: No classification provided.

COAST_TYPE: Coastal typology:

1: Coastal (on coast).
2: Coastal (less than 50% of population living within 50 km. of the coastline).
3: Non-coastal region.
0: No classification provided.

Source

NUTS_RG_20M_2016_4326.geojson file.

Examples


data("gisco_nuts")
head(gisco_nuts)

data("gisco_nuts")
head(gisco_nuts)

Set your giscoR cache dir

Description

This function will store your cache_dir path on your local machine and would load it for future sessions. Type Sys.getenv("GISCO_CACHE_DIR") to find your cached path or use gisco_detect_cache_dir().

Alternatively, you can store the cache_dir manually with the following options:

Run Sys.setenv(GISCO_CACHE_DIR = "cache_dir"). You would need to run this command on each session (Similar to install = FALSE).
Write this line on your .Renviron file: GISCO_CACHE_DIR = "value_for_cache_dir" (same behavior than install = TRUE). This would store your cache_dir permanently. See also usethis::edit_r_environ().

Usage

gisco_set_cache_dir(
  cache_dir,
  overwrite = FALSE,
  install = FALSE,
  verbose = TRUE
)

gisco_detect_cache_dir(...)
gisco_set_cache_dir(
  cache_dir,
  overwrite = FALSE,
  install = FALSE,
  verbose = TRUE
)

gisco_detect_cache_dir(...)

Arguments

`cache_dir`	A path to a cache directory. On missing value the function would store the cached files on a temporary dir (See `base::tempdir()`).
`overwrite`	If this is set to `TRUE`, it will overwrite an existing `GISCO_CACHE_DIR` that you already have in local machine.
`install`	If `TRUE`, will install the key in your local machine for use in future sessions. Defaults to `FALSE.` If `cache_dir` is `FALSE` this parameter is set to `FALSE` automatically.
`verbose`	Logical, displays information. Useful for debugging, default is `FALSE`.
`...`	Ignored

Value

gisco_set_cache_dir() returns an (invisible) character with the path to your cache_dir, but it is mainly called for its side effect.

gisco_detect_cache_dir() returns the path to the cache_dir used in this session.

Examples


# Don't run this! It would modify your current state
## Not run: 
gisco_set_cache_dir(verbose = TRUE)

## End(Not run)

Sys.getenv("GISCO_CACHE_DIR")

gisco_detect_cache_dir()

# Don't run this! It would modify your current state
## Not run: 
gisco_set_cache_dir(verbose = TRUE)

## End(Not run)

Sys.getenv("GISCO_CACHE_DIR")

gisco_detect_cache_dir()

Package 'giscoR'

Help Index

GISCO Address API

Description

Usage

Arguments

Details

Value

See Also

Examples

Attribution when publishing GISCO data

Description

Usage

Arguments

Details

Value

Note

See Also

Examples

Bulk download from GISCO API

Description

Usage

Arguments

Details

Value

About caching

Source

See Also

Examples

Check access to GISCO API

Description

Usage

Value

See Also

Examples

Clear your giscoR cache dir

Description

Usage

Arguments

Details

Value

See Also

Examples

World coastal lines POLYGON object

Description

Format

Source

See Also

Examples

World countries POLYGON sf object

Description

Format

Source

See Also

Examples

Data frame with different country code schemes and world regions

Description

Format

Source

See Also

Examples

Get location of airports and ports from GISCO API

Description

Usage

Arguments

Details

Value

About caching

Source

See Also

Examples

Get GISCO coastlines sf polygons

Description

Usage

Arguments

Value

About caching

Note

Source

See Also

World coastal lines `POLYGON` object

World countries `POLYGON` `sf` object

Get GISCO coastlines `sf` polygons

Get GISCO world country `sf` polygons, points and lines

Get GISCO urban areas `sf` polygons, points and lines

Get GISCO NUTS `sf` polygons, points and lines