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README

giscoR

giscoR is a API package that helps to retrieve data from Eurostat - GISCO (the Geographic Information System of the COmmission). It also provides some lightweight data sets ready to use without downloading. Currently only the Administrative Units / Statistical Units data sets are supported.

GISCO (FAQ) is a geospatial open data repository including several data sets as countries, coastal lines, labels or NUTS levels. The data sets are usually provided at several resolution levels (60M/20M/10M/03M/01M) and in 3 different projections (4326/3035/3857).

Note that the package does not provide metadata on the downloaded files, the information is available on the API webpage.

Installation

You can install the developing version of giscoR with:


library(remotes)
install_github("dieghernan/giscoR")

Usage

This script quickly shows how the data retrieved with giscoR can be represented with a sample of complementary packages:


library(giscoR)

countries <- gisco_get_countries(epsg = "3035")

nuts2 <- gisco_get_nuts(epsg = "3035", nuts_level = "2")

# With ggplot2

library(ggplot2)
ggplot(countries) +
  geom_sf(
    colour = "grey50",
    fill = "cornsilk",
    size = 0.1
  ) +
  geom_sf(
    data = nuts2,
    colour = "darkblue",
    fill = NA,
    size = 0.05
  ) +
  coord_sf(
    xlim = c(2200000, 7150000),
    ylim = c(1380000, 5500000),
    expand = TRUE
  ) +
  xlab("Longitude") +
  ylab("Latitude") +
  ggtitle("NUTS2 Regions (2016)") +
  theme(
    panel.grid.major = element_line(
      color = gray(.5),
      linetype = "dashed",
      size = 0.5
    ),
    panel.background = element_rect(fill = "aliceblue")
  ) +
  labs(caption = gisco_attributions(copyright = FALSE))



# With tmap

library(tmap)

cities <-
  gisco_get_urban_audit(
    year = "2020",
    level = "GREATER_CITIES",
    country = c("BEL", "NLD", "LUX")
  )

countries <- gisco_get_countries(country = c("BEL", "NLD", "LUX"), resolution = "01")

tm_shape(countries) + tm_fill("black") + tm_borders("grey10") + tm_shape(cities) + tm_fill("chartreuse1") +
  tm_credits(gisco_attributions(copyright = FALSE),
    position = c("LEFT", "BOTTOM")
  ) + tm_layout(
    main.title = "Urban Audit 2020: Greater cities of Benelux",
    frame = TRUE,
    attr.outside = TRUE,
    main.title.size = 0.75,
    bg.color = "grey85"
  )



# With cartography

library(cartography)
globe <- gisco_get_countries(epsg = "3035")
globe <- merge(globe, gisco_countrycode, all.x = TRUE)
opar <- par(no.readonly = TRUE)
par(mar = c(2, 2, 2, 2))
typoLayer(globe, var = "un.region.name", legend.pos = "n")
layoutLayer(
  "Regions of the World (UN)",
  sources = gisco_attributions(copyright = FALSE),
  scale = FALSE,
  horiz = TRUE
)

par(opar)

A note on caching

Some data sets (as Local Administrative Units - LAU, or high-resolution files) may have a size larger than 50MB. You can use giscoR to create your own local repository at a given local directory passing the following option:

options(gisco_cache_dir = "./path/to/location")

When this option is set, giscoR would look for the cached file and it will load it, speeding up the process.

You can also download manually the files (.geojson format) and store them on your local directory.

Recommended packages

API data packages

It is recommended to install the eurostat package (https://ropengov.github.io/eurostat/), that is another API package that queries Eurostat for statistical information.

wbstats(https://nset-ornl.github.io/wbstats/) is another interesting R API packages that provides access to The World Bank Data API.

Plotting `sf` objects

Some packages recommended for visualization are:

Contribute

Check the Github page for source code.

Contributions are very welcome:

Use issue tracker for feedback and bug reports.
Send pull requests
Star us on the Github page

Copyright notice

From GISCO > Geodata > Reference data > Administrative Units / Statistical Units

When data downloaded from this page 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:

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.

Disclaimer

This package is in no way officially related to or endorsed by Eurostat.