Changing administrative regional boundaries over time complicates the
construction of consistent regional panel data. The nuts
package can transform European regional data identified
by NUTS codes between different
versions and subdivision levels with
the aim to harmonize and link data sets.
The package’s main task is to convert data between all NUTS versions
in use: 2006, 2010, 2013, 2016 and 2021. These conversions can be
performed in any direction based on spatial
interpolation using five different weights (regional area in
square kilometers, 2011 and 2018 population size, 2012 and 2018 built-up
area). The weights are based on conversion tables provided by the Joint
Research Center (JRC) of the European Commission (EC) that are used
in their online converter. The nuts package permits to do
the same conversion offline with additional advantages such as the
conversion within groups, enabling the conversion of datasets with
multiple NUTS versions efficiently.
You can install the package from the rOpenSci repository:
install.packages("nuts", repos = "https://ropensci.r-universe.dev")Check out the website how to get started.
Console messages can be controlled with
rlang::local_options(nuts.verbose = "quiet") to silence
messages and setting nuts.verbose = "verbose" to switch
messages back on.
Please support the development of open science and data by citing the JRC and us in your work:
Joint Research Centre (2022) NUTS converter. https://urban.jrc.ec.europa.eu/tools/nuts-converter
Hennicke M, Krause W (2024). nuts: Convert European Regional Data. doi:10.5281/zenodo.10573056 https://doi.org/10.5281/zenodo.10573056, R package version 1.1.0, https://docs.ropensci.org/nuts/.
Bibtex Users:
@Manual{,
title = {NUTS converter},
author = {Joint Research Centre},
year = {2022},
url = {https://urban.jrc.ec.europa.eu/tools/nuts-converter},
}
@Manual{,
title = {nuts: Convert European Regional Data},
author = {Moritz Hennicke and Werner Krause},
year = {2024},
note = {R package version 1.1.0},
url = {https://docs.ropensci.org/nuts/},
doi = "https://doi.org/10.5281/zenodo.10573056",
}