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 5 hours ago
JSON representation

Repository metadata

Download geospatial data from GISCO API - Eurostat

README.md

giscoR

rOpenGov package
CRAN status
CRAN results
Downloads
r-universe
R-CMD-check
codecov
CodeFactor
DOI
Project Status: Active

giscoR is an R package
that provides a simple interface to
GISCO data from Eurostat. It
allows you to download and work with global and European geospatial
datasets (such as country boundaries, NUTS regions, coastlines, and
labels) directly in R.

Key features

  • Retrieve GISCO files for countries, regions, and administrative
    units.
  • Access data at multiple resolutions: 60M, 20M, 10M, 03M,
    01M.
  • Choose from three projections: EPSG 4326, 3035, or 3857.
  • Works seamlessly with sf objects for spatial analysis.
  • Includes caching for faster repeated access.

Installation

Install giscoR from
CRAN:

install.packages("giscoR")

Check the docs of the developing version in
https://ropengov.github.io/giscoR/dev/.

You can install the development version of giscoR with:

# install.packages("pak")

pak::pak("rOpenGov/giscoR")

Alternatively, you can install giscoR via
r-universe:

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

Quick Example

This script highlights some features of giscoR :

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

# Download The 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: 13
#> $ CNTR_ID   <chr> "NL", "NL", "NL", "NL"
#> $ 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", "UN…
#> $ CAPT      <chr> "Amsterdam", "Amsterdam", "Amsterdam", "Amsterdam"
#> $ 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"
#> $ geometry  <MULTIPOLYGON [°]> MULTIPOLYGON (((7.208935 53..., MULTIPOLYGON (((7.202794 53.…
#> $ res       <chr> "60M", "20M", "10M", "03M"

# Plot with ggplot2

library(ggplot2)

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

Advanced Example: Thematic maps

This example shows a thematic map created with the ggplot2 package.
The data are obtained via the eurostat package. This follows the
work of Milos Popovic.

We start by extracting the corresponding geographic data:

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

# Get sf objects
nuts3 <- gisco_get_nuts(
  year = 2021,
  epsg = 3035,
  resolution = 10,
  nuts_level = 3
)

# Get country lines (NUTS 0 level)

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

We now download the data from Eurostat:

# Use eurostat
popdens <- get_eurostat("demo_r_d3dens") |>
  filter(TIME_PERIOD == "2021-01-01")

Finally, we merge and manipulate the data to create the final plot:

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

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

# Label function used in the plot, mainly for NAs
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))


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


# 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 in Europe: EPSG 3035
  coord_sf(
    xlim = c(2377294, 7453440),
    ylim = c(1313597, 5628510)
  ) +
  # Legends
  scale_fill_manual(
    values = pal,
    # Label for NA
    labels = labeller_plot,
    drop = FALSE,
    guide = guide_legend(direction = "horizontal", nrow = 1)
  ) +
  # Theming
  theme_void() +
  # 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 = .5),
    legend.title = element_text(color = "grey20", hjust = .5),
    legend.position = "bottom",
    legend.title.position = "top",
    legend.text.position = "bottom",
    legend.key.height = unit(.5, "line"),
    legend.key.width = unit(2.5, "line")
  ) +
  # Annotate and labs
  labs(
    title = "Population density in 2021",
    subtitle = "NUTS-3 level",
    fill = "people per sq. kilometer",
    caption = paste0(
      "Source: Eurostat, ",
      gisco_attributions(),
      "\nBased on Milos Popovic's work"
    )
  )

Caching

Large datasets (e.g., LAU or high-resolution files) can exceed 50MB.
Use:

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

Files will be stored locally for faster access.

Contribute

Check the GitHub page for source
code
.

Contributions are welcome:

Citation

To cite ‘giscoR’ in publications use:

Hernangómez D (2026). giscoR: Download Map Data from GISCO API -
Eurostat
. doi:10.32614/CRAN.package.giscoR
https://doi.org/10.32614/CRAN.package.giscoR,
https://ropengov.github.io/giscoR/.

A BibTeX entry for LaTeX users is

@Manual{R-giscoR,
  title = {{giscoR}: Download Map Data from GISCO API - Eurostat},
  doi = {10.32614/CRAN.package.giscoR},
  author = {Diego Hernangómez},
  year = {2026},
  version = {1.0.1.9000},
  url = {https://ropengov.github.io/giscoR/},
  abstract = {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.},
}

General copyright

Eurostat’s general copyright notice and licence
policy

applies. Moreover, there are specific rules that apply to some of the
following datasets available for downloading. The download and use of
these data are subject to these rules being accepted. See our
administrative
units

and statistical
units

for more details.

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

Disclaimer

This package is neither affiliated with nor endorsed by Eurostat. The
authors are not responsible for any misuse of the data.

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 Map Data from GISCO API - Eurostat'
version: 1.0.1.9000
doi: 10.32614/CRAN.package.giscoR
identifiers:
- type: doi
  value: 10.32614/CRAN.package.giscoR
abstract: 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:
- 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 Map Data from GISCO API - Eurostat'
  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: 1.0.1.9000
  url: https://ropengov.github.io/giscoR/
  abstract: 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.
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
  institution:
    name: R Foundation for Statistical Computing
    address: Vienna, Austria
  year: '2026'
  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
- 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
  authors:
  - family-names: Ooms
    given-names: Jeroen
    email: jeroenooms@gmail.com
    orcid: https://orcid.org/0000-0002-4035-0289
  year: '2026'
  doi: 10.32614/CRAN.package.jsonlite
- type: software
  title: lifecycle
  abstract: 'lifecycle: Manage the Life Cycle of your Package Functions'
  notes: Imports
  url: https://lifecycle.r-lib.org/
  repository: https://CRAN.R-project.org/package=lifecycle
  authors:
  - family-names: Henry
    given-names: Lionel
    email: lionel@posit.co
  - family-names: Wickham
    given-names: Hadley
    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
  - family-names: Mick
    given-names: Trent
  - family-names: Davis
    given-names: Trevor
    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:
  - family-names: Pebesma
    given-names: Edzer
    email: edzer.pebesma@uni-muenster.de
    orcid: https://orcid.org/0000-0001-8049-7069
  year: '2026'
  doi: 10.32614/CRAN.package.sf
  version: '>= 1.0.0'
- type: software
  title: testthat
  abstract: 'testthat: Unit Testing for R'
  notes: Imports
  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: tibble
  abstract: 'tibble: Simple Data Frames'
  notes: Imports
  url: https://tibble.tidyverse.org/
  repository: https://CRAN.R-project.org/package=tibble
  authors:
  - family-names: Müller
    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
  institution:
    name: R Foundation for Statistical Computing
    address: Vienna, Austria
  year: '2026'
- type: software
  title: utils
  abstract: 'R: A Language and Environment for Statistical Computing'
  notes: Imports
  authors:
  - name: R Core Team
  institution:
    name: R Foundation for Statistical Computing
    address: Vienna, Austria
  year: '2026'
- 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: 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


GitHub Events

Total
Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 1,003
Total Committers: 7
Avg Commits per committer: 143.286
Development Distribution Score (DDS): 0.227

Commits in past year: 177
Committers in past year: 3
Avg Commits per committer in past year: 59.0
Development Distribution Score (DDS) in past year: 0.271

Name Email Commits
dieghernan d****o@g****m 775
github-actions[bot] 4****] 102
GitHub Actions a****s@g****m 90
imgbot[bot] 3****] 20
dependabot[bot] 4****] 10
ImgBotApp I****p@g****m 4
dieghernan d****o@g****m 2

Committer domains:


Issue and Pull Request metadata

Last synced: 3 days ago

Total issues: 46
Total pull requests: 79
Average time to close issues: 21 days
Average time to close pull requests: 18 days
Total issue authors: 18
Total pull request authors: 3
Average comments per issue: 1.33
Average comments per pull request: 0.97
Merged pull request: 55
Bot issues: 3
Bot pull requests: 52

Past year issues: 9
Past year pull requests: 8
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 19 days
Past year issue authors: 5
Past year pull request authors: 3
Past year average comments per issue: 0.56
Past year average comments per pull request: 2.0
Past year merged pull request: 5
Past year bot issues: 2
Past year bot pull requests: 5

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/rOpenGov/giscoR

Top Issue Authors

  • dieghernan (24)
  • github-actions[bot] (3)
  • ColinFay (2)
  • dominicroye (2)
  • hannesaddec (2)
  • elijahrona (1)
  • RemiDumas (1)
  • richardtc (1)
  • martinhulenyi (1)
  • lodderig (1)
  • nahin29 (1)
  • umbe1987 (1)
  • FSS-learning (1)
  • swimmer008 (1)
  • raffaem (1)

Top Pull Request Authors

  • imgbot[bot] (43)
  • dieghernan (27)
  • dependabot[bot] (9)

Top Issue Labels

  • not-downloading (5)
  • bug (3)
  • documentation (3)
  • enhancement (2)
  • wontfix (1)
  • bot (1)

Top Pull Request Labels

  • dependencies (9)
  • enhancement (2)
  • github_actions (2)

Package metadata

proxy.golang.org: github.com/rOpenGov/giscoR

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/rOpenGov/giscoR#section-documentation
  • Licenses: gpl-3.0
  • Latest release: v1.0.1 (published about 1 month ago)
  • Last Synced: 2026-02-25T03:02:07.862Z (3 days ago)
  • Versions: 21
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 5.375%
    • Stargazers count: 5.666%
    • Dependent repos count: 5.736%
    • Average: 7.246%
    • Forks count: 12.206%
proxy.golang.org: github.com/ropengov/giscor

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/ropengov/giscor#section-documentation
  • Licenses: gpl-3.0
  • Latest release: v1.0.1 (published about 1 month ago)
  • Last Synced: 2026-02-25T03:02:07.536Z (3 days ago)
  • Versions: 21
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 5.375%
    • Stargazers count: 5.666%
    • Dependent repos count: 5.736%
    • Average: 7.246%
    • Forks count: 12.206%
cran.r-project.org: giscoR

Download Map Data from GISCO API - Eurostat

  • Homepage: https://ropengov.github.io/giscoR/
  • Documentation: http://cran.r-project.org/web/packages/giscoR/giscoR.pdf
  • Licenses: GPL-3
  • Latest release: 1.0.1 (published about 1 month ago)
  • Last Synced: 2026-02-25T03:02:06.037Z (3 days ago)
  • Versions: 20
  • Dependent Packages: 3
  • Dependent Repositories: 4
  • Downloads: 7,716 Last month
  • Rankings:
    • Stargazers count: 6.098%
    • Downloads: 8.456%
    • Dependent repos count: 14.751%
    • Average: 14.966%
    • Dependent packages count: 17.568%
    • Forks count: 27.959%
  • Maintainers (1)

Dependencies

DESCRIPTION cran
  • R >= 3.6.0 depends
  • countrycode >= 1.2.0 imports
  • geojsonsf >= 2.0.0 imports
  • rappdirs >= 0.3.0 imports
  • sf >= 0.9.0 imports
  • utils * imports
  • eurostat * suggests
  • ggplot2 >= 3.0.0 suggests
  • knitr * suggests
  • lwgeom >= 0.2 suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests
.github/workflows/cff-validator.yml actions
  • actions/checkout v4 composite
  • dieghernan/cff-validator main composite
.github/workflows/check-full.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/cran-status-check.yaml actions
  • actions/checkout v4 composite
  • dieghernan/cran-status-check v1 composite
.github/workflows/lintr.yaml actions
  • actions/checkout v4 composite
  • github/codeql-action/upload-sarif v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgcheck.yaml actions
  • ropensci-review-tools/pkgcheck-action main composite
.github/workflows/revdepcheck.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/rogtemplate-gh-pages-clean.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/rogtemplate-gh-pages.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/test-coverage.yaml actions
  • actions/checkout v4 composite
  • actions/upload-artifact v3 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/update-citation-cff.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/setup-r v1 composite
  • r-lib/actions/setup-r-dependencies v1 composite
.github/workflows/update-docs.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/wipe-cache.yaml actions
  • easimon/wipe-cache main composite

Score: 15.292446947276156