giscoR

An R API package that helps to retrieve data from Eurostat Geographic Information System of the Commission.
https://github.com/rOpenGov/giscoR

Category: Sustainable Development
Sub Category: Data Catalogs and Interfaces

Keywords

api-wrapper cran cran-r eurostat eurostat-data ggplot2 gis gisco r r-package ropengov rstats spatial thematic-maps

Keywords from Contributors

ropenspain spain

Last synced: about 19 hours ago
JSON representation

Repository metadata

Download geospatial data from GISCO API - Eurostat

• Host: GitHub
• URL: https://github.com/rOpenGov/giscoR
• Owner: rOpenGov
• License: gpl-3.0
• Created: 2020-09-23T19:40:44.000Z (almost 6 years ago)
• Default Branch: main
• Last Pushed: 2026-06-22T07:58:37.000Z (12 days ago)
• Last Synced: 2026-06-27T15:00:35.885Z (7 days ago)
• Topics: api-wrapper, cran, cran-r, eurostat, eurostat-data, ggplot2, gis, gisco, r, r-package, ropengov, rstats, spatial, thematic-maps
• Language: R
• Homepage: https://ropengov.github.io/giscoR/
• Size: 195 MB
• Stars: 81
• Watchers: 2
• Forks: 1
• Open Issues: 2
• Releases: 22
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE
  • Citation: CITATION.cff
  • Codemeta: codemeta.json

README.md

install.packages("giscoR")

# install.packages("pak")

pak::pak("rOpenGov/giscoR")

install.packages(
  "giscoR",
  repos = c("https://ropengov.r-universe.dev", "https://cloud.r-project.org")
)

library(giscoR)
library(sf)
library(dplyr)

# Download Netherlands boundaries at different resolutions.
nl_all <- lapply(c("60", "20", "10", "03"), function(r) {
  gisco_get_countries(country = "Netherlands", year = 2024, resolution = r) |>
    mutate(res = paste0(r, "M"))
}) |>
  bind_rows()

glimpse(nl_all)
#> Rows: 4
#> Columns: 15
#> $ CNTR_ID     <chr> "NL", "NL", "NL", "NL"
#> $ COUNTRY_URI <chr> "NLD", NA, "NLD", "NLD"
#> $ CNTR_NAME   <chr> "Nederland", "Nederland", "Nederland", "Nederland"
#> $ NAME_ENGL   <chr> "Netherlands", "Netherlands", "Netherlands", "Netherlands"
#> $ NAME_FREN   <chr> "Pays-Bas", "Pays-Bas", "Pays-Bas", "Pays-Bas"
#> $ ISO3_CODE   <chr> "NLD", "NLD", "NLD", "NLD"
#> $ SVRG_UN     <chr> "UN Member State", "UN Member State", "UN Member State", "…
#> $ CAPT        <chr> "Amsterdam", "Amsterdam", "Amsterdam", "Amsterdam"
#> $ STAT_CODE   <chr> "OA", NA, "OA", "OA"
#> $ EU_STAT     <chr> "T", "T", "T", "T"
#> $ EFTA_STAT   <chr> "F", "F", "F", "F"
#> $ CC_STAT     <chr> "F", "F", "F", "F"
#> $ NAME_GERM   <chr> "Niederlande", "Niederlande", "Niederlande", "Niederlande"
#> $ res         <chr> "60M", "20M", "10M", "03M"
#> $ geometry    <MULTIPOLYGON [°]> MULTIPOLYGON (((7.208935 53..., MULTIPOLYGON (((7.202794 5…

# Plot with ggplot2.

library(ggplot2)

ggplot(nl_all) +
  geom_sf(fill = "#AD1D25") +
  facet_wrap(~res) +
  labs(
    title = "Netherlands boundaries at different resolutions",
    subtitle = "Year: 2024",
    caption = gisco_attributions()
  ) +
  theme_minimal()

library(giscoR)
library(dplyr)
library(eurostat)
library(ggplot2)

# Retrieve **sf** package objects.
nuts3 <- gisco_get_nuts(
  year = 2021,
  epsg = 3035,
  resolution = 10,
  nuts_level = 3
)

# Get country boundaries at NUTS 0 level.

country_lines <- gisco_get_nuts(
  year = 2021,
  epsg = 3035,
  resolution = 10,
  spatialtype = "BN",
  nuts_level = 0
)

# Retrieve Eurostat data.
popdens <- get_eurostat("demo_r_d3dens") |>
  filter(TIME_PERIOD == "2021-01-01")
#> 
indexed 0B in  0s, 0B/s
indexed 2.15GB in  0s, 2.15GB/s
                                                                              

# Merge data.
nuts3_sf <- nuts3 |>
  left_join(popdens, by = "geo")

# Create breaks and labels.
br <- c(0, 25, 50, 100, 200, 500, 1000, 2500, 5000, 10000, 30000)
labs <- prettyNum(br[-1], big.mark = ",")

# Label missing values in the plot.
labeller_plot <- function(x) {
  ifelse(is.na(x), "No Data", x)
}
nuts3_sf <- nuts3_sf |>
  # Cut with labels.
  mutate(values_cut = cut(values, br, labels = labs))

# Create palette.
pal <- hcl.colors(length(labs), "Lajolla")

# Create plot.
ggplot(nuts3_sf) +
  geom_sf(aes(fill = values_cut), linewidth = 0, color = NA, alpha = 0.9) +
  geom_sf(data = country_lines, col = "black", linewidth = 0.1) +
  # Center on Europe with EPSG 3035.
  coord_sf(
    xlim = c(2377294, 7453440),
    ylim = c(1313597, 5628510)
  ) +
  # Configure legends.
  scale_fill_manual(
    values = pal,
    # Label missing values.
    labels = labeller_plot,
    drop = FALSE,
    guide = guide_legend(direction = "horizontal", nrow = 1)
  ) +
  theme_void() +
  # Configure the theme.
  theme(
    plot.title = element_text(
      color = rev(pal)[2],
      size = rel(1.5),
      hjust = 0.5,
      vjust = -6
    ),
    plot.subtitle = element_text(
      color = rev(pal)[2],
      size = rel(1.25),
      hjust = 0.5,
      vjust = -10,
      face = "bold"
    ),
    plot.caption = element_text(color = "grey60", hjust = 0.5, vjust = 0),
    legend.text = element_text(color = "grey20", hjust = 0.5),
    legend.title = element_text(color = "grey20", hjust = 0.5),
    legend.position = "bottom",
    legend.title.position = "top",
    legend.text.position = "bottom",
    legend.key.height = unit(0.5, "line"),
    legend.key.width = unit(2.5, "line")
  ) +
  # Add labels.
  labs(
    title = "Population density in 2021",
    subtitle = "NUTS 3 level",
    fill = "people per square kilometer",
    caption = paste0(
      "Source: Eurostat, ",
      gisco_attributions(),
      "\nBased on Milos Popovic's work"
    )
  )

gisco_set_cache_dir("./path/to/location")

@Manual{R-giscoR,
  title = {{giscoR}: Download Eurostat GISCO Spatial Data},
  doi = {10.32614/CRAN.package.giscoR},
  author = {Diego Hernangómez},
  year = {2026},
  version = {1.1.1.9000},
  url = {https://ropengov.github.io/giscoR/},
  abstract = {Tools to download global and European spatial data from the Eurostat GISCO (Geographic Information System of the Commission) data distribution <https://ec.europa.eu/eurostat/web/gisco>. The package provides helpers for country boundaries, NUTS regions, administrative units, statistical units, transport networks, basic service locations and other GISCO datasets. This package is not officially related to or endorsed by Eurostat.},
}

Citation (CITATION.cff)

# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "giscoR" in publications use:'
type: software
license: GPL-3.0-only
title: 'giscoR: Download ''Eurostat'' ''GISCO'' Spatial Data'
version: 1.1.1
doi: 10.32614/CRAN.package.giscoR
identifiers:
- type: doi
  value: 10.32614/CRAN.package.giscoR
abstract: Tools to download global and European spatial data from the 'Eurostat' 'GISCO'
  (Geographic Information System of the Commission) data distribution <https://ec.europa.eu/eurostat/web/gisco>.
  The package provides helpers for country boundaries, 'NUTS' regions, administrative
  units, statistical units, transport networks, basic service locations and other
  'GISCO' datasets. This package is not officially related to or endorsed by 'Eurostat'.
authors:
- family-names: Hernangómez
  given-names: Diego
  email: diego.hernangomezherrero@gmail.com
  orcid: https://orcid.org/0000-0001-8457-4658
preferred-citation:
  type: manual
  title: 'giscoR: Download Eurostat GISCO Spatial Data'
  authors:
  - family-names: Hernangómez
    given-names: Diego
    email: diego.hernangomezherrero@gmail.com
    orcid: https://orcid.org/0000-0001-8457-4658
  doi: 10.32614/CRAN.package.giscoR
  year: '2026'
  version: 1.1.1
  url: https://ropengov.github.io/giscoR/
  abstract: Tools to download global and European spatial data from the Eurostat GISCO
    (Geographic Information System of the Commission) data distribution <https://ec.europa.eu/eurostat/web/gisco>.
    The package provides helpers for country boundaries, NUTS regions, administrative
    units, statistical units, transport networks, basic service locations and other
    GISCO datasets. This package is not officially related to or endorsed by Eurostat.
repository: https://CRAN.R-project.org/package=giscoR
repository-code: https://github.com/rOpenGov/giscoR
url: https://ropengov.github.io/giscoR/
contact:
- family-names: Hernangómez
  given-names: Diego
  email: diego.hernangomezherrero@gmail.com
  orcid: https://orcid.org/0000-0001-8457-4658
keywords:
- ropengov
- r
- spatial
- api-wrapper
- rstats
- r-package
- eurostat
- gisco
- thematic-maps
- eurostat-data
- cran
- ggplot2
- gis
- cran-r
references:
- type: software
  title: 'R: A Language and Environment for Statistical Computing'
  notes: Depends
  url: https://www.R-project.org/
  authors:
  - name: R Core Team
    website: https://ror.org/02zz1nj61
  institution:
    name: R Foundation for Statistical Computing
    website: https://ror.org/05qewa988
    address: Vienna, Austria
  year: '2026'
  doi: 10.32614/R.manuals
  version: '>= 4.1'
- type: software
  title: cli
  abstract: 'cli: Helpers for Developing Command Line Interfaces'
  notes: Imports
  url: https://cli.r-lib.org
  repository: https://CRAN.R-project.org/package=cli
  authors:
  - family-names: Csárdi
    given-names: Gábor
    email: gabor@posit.co
  year: '2026'
  doi: 10.32614/CRAN.package.cli
- type: software
  title: countrycode
  abstract: 'countrycode: Convert Country Names and Country Codes'
  notes: Imports
  url: https://vincentarelbundock.github.io/countrycode/
  repository: https://CRAN.R-project.org/package=countrycode
  authors:
  - family-names: Arel-Bundock
    given-names: Vincent
    email: vincent.arel-bundock@umontreal.ca
    orcid: https://orcid.org/0000-0003-2042-7063
  year: '2026'
  doi: 10.32614/CRAN.package.countrycode
  version: '>= 1.2.0'
- type: software
  title: httr2
  abstract: 'httr2: Perform HTTP Requests and Process the Responses'
  notes: Imports
  url: https://httr2.r-lib.org
  repository: https://CRAN.R-project.org/package=httr2
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
  year: '2026'
  doi: 10.32614/CRAN.package.httr2
  version: '>= 1.2.0'
- type: software
  title: jsonlite
  abstract: 'jsonlite: A Simple and Robust JSON Parser and Generator for R'
  notes: Imports
  url: https://jeroen.r-universe.dev/jsonlite
  repository: https://CRAN.R-project.org/package=jsonlite
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    given-names: Jeroen
    email: jeroenooms@gmail.com
    orcid: https://orcid.org/0000-0002-4035-0289
  year: '2026'
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- type: software
  title: lifecycle
  abstract: 'lifecycle: Manage the Life Cycle of your Package Functions'
  notes: Imports
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  repository: https://CRAN.R-project.org/package=lifecycle
  authors:
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    given-names: Lionel
    email: lionel@posit.co
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    email: hadley@posit.co
    orcid: https://orcid.org/0000-0003-4757-117X
  year: '2026'
  doi: 10.32614/CRAN.package.lifecycle
- type: software
  title: rappdirs
  abstract: 'rappdirs: Application Directories: Determine Where to Save Data, Caches,
    and Logs'
  notes: Imports
  url: https://rappdirs.r-lib.org
  repository: https://CRAN.R-project.org/package=rappdirs
  authors:
  - family-names: Ratnakumar
    given-names: Sridhar
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    orcid: https://orcid.org/0000-0001-6341-4639
  year: '2026'
  doi: 10.32614/CRAN.package.rappdirs
  version: '>= 0.3.0'
- type: software
  title: sf
  abstract: 'sf: Simple Features for R'
  notes: Imports
  url: https://r-spatial.github.io/sf/
  repository: https://CRAN.R-project.org/package=sf
  authors:
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    given-names: Edzer
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    orcid: https://orcid.org/0000-0001-8049-7069
  year: '2026'
  doi: 10.32614/CRAN.package.sf
  version: '>= 1.0.0'
- type: software
  title: tibble
  abstract: 'tibble: Simple Data Frames'
  notes: Imports
  url: https://tibble.tidyverse.org/
  repository: https://CRAN.R-project.org/package=tibble
  authors:
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    given-names: Kirill
    email: kirill@cynkra.com
    orcid: https://orcid.org/0000-0002-1416-3412
  - family-names: Wickham
    given-names: Hadley
    email: hadley@rstudio.com
  year: '2026'
  doi: 10.32614/CRAN.package.tibble
- type: software
  title: tools
  abstract: 'R: A Language and Environment for Statistical Computing'
  notes: Imports
  authors:
  - name: R Core Team
    website: https://ror.org/02zz1nj61
  institution:
    name: R Foundation for Statistical Computing
    website: https://ror.org/05qewa988
    address: Vienna, Austria
  year: '2026'
  doi: 10.32614/R.manuals
- type: software
  title: utils
  abstract: 'R: A Language and Environment for Statistical Computing'
  notes: Imports
  authors:
  - name: R Core Team
    website: https://ror.org/02zz1nj61
  institution:
    name: R Foundation for Statistical Computing
    website: https://ror.org/05qewa988
    address: Vienna, Austria
  year: '2026'
  doi: 10.32614/R.manuals
- type: software
  title: dplyr
  abstract: 'dplyr: A Grammar of Data Manipulation'
  notes: Suggests
  url: https://dplyr.tidyverse.org
  repository: https://CRAN.R-project.org/package=dplyr
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
    orcid: https://orcid.org/0000-0003-4757-117X
  - family-names: François
    given-names: Romain
    orcid: https://orcid.org/0000-0002-2444-4226
  - family-names: Henry
    given-names: Lionel
  - family-names: Müller
    given-names: Kirill
    orcid: https://orcid.org/0000-0002-1416-3412
  - family-names: Vaughan
    given-names: Davis
    email: davis@posit.co
    orcid: https://orcid.org/0000-0003-4777-038X
  year: '2026'
  doi: 10.32614/CRAN.package.dplyr
- type: software
  title: eurostat
  abstract: 'eurostat: Tools for Eurostat Open Data'
  notes: Suggests
  url: https://ropengov.github.io/eurostat/
  repository: https://CRAN.R-project.org/package=eurostat
  authors:
  - family-names: Lahti
    given-names: Leo
    email: leo.lahti@iki.fi
    orcid: https://orcid.org/0000-0001-5537-637X
  - family-names: Huovari
    given-names: Janne
  - family-names: Kainu
    given-names: Markus
  - family-names: Biecek
    given-names: Przemyslaw
  year: '2026'
  doi: 10.32614/CRAN.package.eurostat
- type: software
  title: ggplot2
  abstract: 'ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics'
  notes: Suggests
  url: https://ggplot2.tidyverse.org
  repository: https://CRAN.R-project.org/package=ggplot2
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
    orcid: https://orcid.org/0000-0003-4757-117X
  - family-names: Chang
    given-names: Winston
    orcid: https://orcid.org/0000-0002-1576-2126
  - family-names: Henry
    given-names: Lionel
  - family-names: Pedersen
    given-names: Thomas Lin
    email: thomas.pedersen@posit.co
    orcid: https://orcid.org/0000-0002-5147-4711
  - family-names: Takahashi
    given-names: Kohske
  - family-names: Wilke
    given-names: Claus
    orcid: https://orcid.org/0000-0002-7470-9261
  - family-names: Woo
    given-names: Kara
    orcid: https://orcid.org/0000-0002-5125-4188
  - family-names: Yutani
    given-names: Hiroaki
    orcid: https://orcid.org/0000-0002-3385-7233
  - family-names: Dunnington
    given-names: Dewey
    orcid: https://orcid.org/0000-0002-9415-4582
  - family-names: Brand
    given-names: Teun
    name-particle: van den
    orcid: https://orcid.org/0000-0002-9335-7468
  year: '2026'
  doi: 10.32614/CRAN.package.ggplot2
  version: '>= 3.5.0'
- type: software
  title: knitr
  abstract: 'knitr: A General-Purpose Package for Dynamic Report Generation in R'
  notes: Suggests
  url: https://yihui.org/knitr/
  repository: https://CRAN.R-project.org/package=knitr
  authors:
  - family-names: Xie
    given-names: Yihui
    email: xie@yihui.name
    orcid: https://orcid.org/0000-0003-0645-5666
  year: '2026'
  doi: 10.32614/CRAN.package.knitr
- type: software
  title: quarto
  abstract: 'quarto: R Interface to ''Quarto'' Markdown Publishing System'
  notes: Suggests
  url: https://quarto-dev.github.io/quarto-r/
  repository: https://CRAN.R-project.org/package=quarto
  authors:
  - family-names: Allaire
    given-names: JJ
    email: jj@posit.co
    orcid: https://orcid.org/0000-0003-0174-9868
  - family-names: Dervieux
    given-names: Christophe
    email: cderv@posit.co
    orcid: https://orcid.org/0000-0003-4474-2498
  year: '2026'
  doi: 10.32614/CRAN.package.quarto
- type: software
  title: stats
  abstract: 'R: A Language and Environment for Statistical Computing'
  notes: Suggests
  authors:
  - name: R Core Team
    website: https://ror.org/02zz1nj61
  institution:
    name: R Foundation for Statistical Computing
    website: https://ror.org/05qewa988
    address: Vienna, Austria
  year: '2026'
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- type: software
  title: testthat
  abstract: 'testthat: Unit Testing for R'
  notes: Suggests
  url: https://testthat.r-lib.org
  repository: https://CRAN.R-project.org/package=testthat
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
  year: '2026'
  doi: 10.32614/CRAN.package.testthat
  version: '>= 3.0.0'
- type: software
  title: withr
  abstract: 'withr: Run Code ''With'' Temporarily Modified Global State'
  notes: Suggests
  url: https://withr.r-lib.org
  repository: https://CRAN.R-project.org/package=withr
  authors:
  - family-names: Hester
    given-names: Jim
  - family-names: Henry
    given-names: Lionel
    email: lionel@posit.co
  - family-names: Müller
    given-names: Kirill
    email: krlmlr+r@mailbox.org
  - family-names: Ushey
    given-names: Kevin
    email: kevinushey@gmail.com
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
  - family-names: Chang
    given-names: Winston
  year: '2026'
  doi: 10.32614/CRAN.package.withr

Owner metadata

• Name: rOpenGov
• Login: rOpenGov
• Email:
• Kind: organization
• Description: Open government data analytics with R
• Website: http://ropengov.org
• Location: Finland
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