The Nomenclature of Territorial Units for Statistics (NUTS) were drawn up by Eurostat in order to define territorial units for the production of regional statistics across the European Union. The NUTS classification has been used in EU legislation since 1988, but it was only in 2003 that the EU Member States, the European Parliament and the Commission established the NUTS regions within a legal framework (Regulation (EC) No 1059/2003). The Irish NUTS 3 regions comprise the eight Regional Authorities established under the Local Government Act, 1991 (Regional Authorities) (Establishment) Order, 1993 which came into operation on January 1st 1994. The NUTS 2 regions, which were proposed by Government and agreed to by Eurostat in 1999, are groupings of the Regional Authorities.

geodata data package providing geojson polygons and shp for administratives European NUTS levels 1, 2 and 3

Europe NUTS 3 Demographics provides NUTS 3 level demographic information for Europe.

The Nomenclature of Territorial Units for Statistics (NUTS) were drawn up by Eurostat in order to define territorial units for the production of regional statistics across the European Union. The NUTS classification has been used in EU legislation since 1988, but it was only in 2003 that the EU Member States, the European Parliament and the Commission established the NUTS regions within a legal framework (Regulation (EC) No 1059/2003). The Irish NUTS 3 regions comprise the eight Regional Authorities established under the Local Government Act, 1991 (Regional Authorities) (Establishment) Order, 1993 which came into operation on January 1st 1994. The NUTS 2 regions, which were proposed by Government and agreed to by Eurostat in 1999, are groupings of the Regional Authorities.

Pan-EU Land Mask Summary

Considering the land mask for pan-EU, we will closely match the data coverage of https://land.copernicus.eu/pan-european i.e. the official selection of countries listed here: https://lanEEA39d.copernicus.eu/portal_vocabularies/geotags/eea39.

There are a total of three landmask files available, each of which is aligned with the standard spatial/temporal resolution and sizes of AI4SoilHealth Data Cube specifications, which is: Xmin = 900,000, Ymin = 899,000, Xmax = 7,401,000, Ymax = 5,501,000, with Coordinate reference system of epsg:3035. Additionally, these files include a corresponding look-up table that provides explanations for the values present in the raster data. The scripts used to generate these masks can be found here.

The masks are:

1. Landmask

2. ISO-code country mask

3. NUTS3 mask

Name convention

To ensure consistency and ease of use across and within the projects, the files here are named according to the standard OpenLandMap file-naming convention. The OpenLandMap file-naming convention works with 10 fields that basically define the most important properties of the data, this way users can search files, prepare data analysis etc, without even needing to access or open files. The 10 fields include:

1. Generic variable name: country.code

2. Variable procedure combination i.e. method standard (standard abbreviation): iso.3166

3. Position in the probability distribution / variable type: c

4. Spatial support (usually horizontal block) in m or km: 30m

5. Depth reference or depth interval e.g. below ("b"), above ("a") ground or at surface ("s"): s

6. Time reference begin time (YYYYMMDD): 20210101

7. Time reference end time: 20211231

8. Bounding box (2 letters max): eu

9. EPSG code: epsg.3035

10. Version code i.e. creation date: v20230722

An example of a file-name based on the description above:

country.code_iso.3166_c_100m_s_20210101_20211231_eu_epsg.3035_v20230722

Landmask

The basic principle to create the land mask is to include as much as land as possible, to avoid missing any land pixels and ensure precise differentiation between land, ocean and inland water bodies.

Two reference datasets are used,

1. WorldCover, 10 m resolution.

2. EuroGlobalMap, with shapefiles of administrative boundaries, inland water bodies, ocean and landmask.

When generating the land mask, the two reference datasets in a way that:

• If either of the two reference datasets identifies a pixel as land, it is considered a land pixel in our mask.

• Regarding ocean and inland water bodies, a pixel is classified as a water pixel only when both reference datasets confirm its identification as water.

The landmask consists of 4 values:

• 10: not in the pan-EU area, i.e. out of mapping scope

• 1: land

• 2: inland water

• 3: ocean

This landmask is available in 10m, 30m, 100m, 250m, and 1km resolution formats respectively. The coarse resolution landmasks (>10 m) are generated by resampling from the 10m resolution base map using resampling method “min” in GDAL. This “min” method allows taking the minimum values from the contributing pixels, to keep as much land as possible.

ISO-3166 country code mask

This ISO-3166 country code mask is created from EuroGlobalMap country shapefile. This mask is available in 10m, 30m and 100m resolution. In this raster file, each country is assigned a unique value, which allows for the interpretation and analysis of data associated with a specific country.

The values are assigned to each country according to iso-3166 country code, which can be found in the corresponding look-up table. The coarse resolution masks (>10 m) are generated by resampling from the 10m resolution base map using resampling method “mode” in GDAL.

NUTS-3 mask

The nuts-3 code mask is created from the European NUTS3 shapefile. In this raster file, each unique NUT3 level area is assigned a unique value, which allows for the interpretation and analysis of data associated with specific NUTS3 regions.

The values of pixels and its associated meanings can be found in the corresponding look-up table. This nut-3 code mask is available in 10m, 30m and 100m resolution formats. The coarse resolution masks (>10 m) are generated by resampling from the 10m resolution base map using resampling method “mode” in GDAL.

It should be noted that the ISO-code country mask covers a more extensive area compared to the NUTS3 mask. This broader coverage includes countries like Ukraine and others beyond the NUTS3 mask, while NUTS mask shows more details about regional administrative boundaries.

Cette donnée représente le découpage de l'Europe en NUTS (Nomenclature des Unités Territoriales Statistiques) qui sont un découpage territorial destiné à faciliter les comparaisons entre pays, ou entre régions, d'un même ensemble. Un découpage en NUTS 3 représente le découpage au niveau des régions françaises, approximativement. En ce qui concerne l'Islande, la Bosnie-Herzégovine, le Kosovo, l'Albanie, la Macédoine, la Serbie et le Monténégro, un tel découpage n'est pas disponible. Ils sont donc représentés à l'échelon du pays.

The H2020 project on Social Innovation in Marginalised Rural Areas (SIMRA) focused on understanding social innovation and innovative governance in agriculture, forestry and rural development, and how to boost them, particularly in marginalised rural areas across Europe, with a focus on the Mediterranean region (including non-EU). Its geographic focus was on Marginalised Rural Areas (MRAs), which had not previously been defined.

The analysis of the rural areas of Europe and the Mediterranean area required data of consistent spatial and temporal resolutions for variables of three types: physical geography, infrastructure (spatial marginality), and socio-economic (societal marginality). There few datasets of relevance that exist for the entire area, creating a need to derive spatial datasets and produce associated maps of the characteristics that contribute to marginality or marginalization.

The outputs comprise new spatial datasets at resolutions compatible with the underlying information (e.g. 1km2, NUTS 3, NUTS 2, and local authorities in North Africa and the eastern Mediterranean), enabling comparisons between such areas. The associated maps and a tabulation of the characteristics for the entire area of interest to SIMRA are reported in Price et al. (2017).

This spatial dataset contains the characteristics of the Marginalised Rural Areas as attributes in a Shapefle for use in a Geographic Information System. Details of the attributes in the Shapefle, and their values, are provided in the MS Excel spreadsheet downloadable with this dataset.

Reference:

Price, M., Miller, D.R., McKeen, M., Slee, W. and Nijnik, M. 2017. Categorisation of marginalised rural areas (MRAs). Deliverable 3.1, Social Innovation in Marginalised Rural Areas (SIMRA). Report to the European Commission, pp. 57. 10.5281/zenodo.3625493

The boundaries in the spatial dataset are complied from: Nomenclature of Territorial Units for Statistics (NUTS) 2013 European Commission, © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission – Eurostat/GISCO© for administrative boundaries. All other boundary data were extracted from the GADM database (www.gadm.org), version 2.8, November 2015. They can be used for non-commercial purposes only. It is not allowed to redistribute these data, or use them for commercial purposes, without prior consent. See the website for more information.

NUTS ist die Abkürzung für „Nomenclature des unités territoriales statistiques“. Es handelt sich dabei um eine hierarchisch gegliederte Systematik der Gebietseinheiten für die Statistik, die schon vor Jahren von Eurostat in Zusammenarbeit mit den Mitgliedstaaten etabliert wurde und mit der Verordnung (EG) Nr. 1059/2003 vom 26. Mai 2003 verbindlich anzuwenden ist. Die Daten liegen in der Projektion MGI Lambert (EPSG:31287) vor. Im STATatlas unter https://www.statistik.at/atlas/?mapid=topo_regionale_gliederung_oesterreich

Exports du découpage administratif français au niveau départemental (contours des départements) issu d'OpenStreetMap produit dans sa grande majorité à partir du cadastre.

Ces données sont issues du crowdsourcing effectué par les contributeurs au projet OpenStreetMap et sont sous licence ODbL qui impose un partage à l'identique et la mention obligatoire d'attribution doit être "**© les contributeurs d'OpenStreetMap sous licence ODbL**" conformément à http://osm.org/copyright

Il s'agit d'un export semi-automatique avec des géométries allégées et vérifiées topologiquement (pas de chevauchement). A partir de 2016, les géométries sont d'origine, non simplifiées.

Descriptif du contenu des fichiers "departements"

Origine

Les données proviennent de la base de données cartographiques OpenStreetMap. Celles-ci ont été constituées à partir du cadastre mis à disposition par la DGFiP sur cadastre.gouv.fr. En complément sur Mayotte où le cadastre n'est pas disponible sur cadastre.gouv.fr, le tracé des côtes a été produit à partir des images aériennes de Bing.

Plus d'infos: http://prev.openstreetmap.fr/36680-communes

Format

Ces fichiers sont proposés au format shapefile, en projection WGS84 avec plusieurs niveaux de détails (jusqu'en 2015):

• simplification à 5m
• simplification à 50m
• simplification à 100m

La topologie est conservée lors du processus de simplification (cf: http://prev.openstreetmap.fr/blogs/cquest/limites-administratives-simplifiees)

Contenu

Ces fichiers contiennent l'ensemble des départements français, y compris les DOM et Mayotte.

Pour chaque région, les attributs suivants sont ajoutés:

• code_insee: code INSEE à 2 caractères du département (ex: 01, 2A)
• nom: nom du département (ex: Ain, Corse-du-Sud)
• nuts3: code européen NUTS3 correspondant au départmenet (ex: FR711, FR831)
• wikipedia: entrée wikipédia (code langue suivi du nom de l'article)
• wikidata: identifiant wikidata du département (à partir de 2016)
• surf_km2 : surface en km2 du département (à partir de 2018)

Historique

• 20-12-2013 : première génération du fichier, basé sur le découpage communal OSM au 19-12-2013
• 06-03-2014 : seconde génération du fichier, basé sur le découpage communal OSM au 06-03-2014
• 18-02-2016 : troisième génération du fichier, basé sur le découpage communal OSM au 18-02-2016 prenant en compte le changement entre la Loire-Atlantique et le Maine-et-Loire suite à la fusion de Le Fresne-sur-Loire (44) avec Ingrandes (49)
• 01-01-2017 : version basée sur le découpage communal OSM au 01-01-2017 incluant la fusion de 566 communes en 178 communes nouvelles (dont une commune changeant de département).
• 01-01-2018 : version comprenant les fusions de communes jusqu'au 01-01-2018, y compris le changement de département de deux communes fusionnées modifiant les limites du Calvados, de la Manche, de la Loire-Atlantique et du Maine-et-Loire.

Versions prédécentes disponibles sur: http://osm13.openstreetmap.fr/~cquest/openfla/export/

Pour toute question concernant ces exports, vous pouvez contacter exports@openstreetmap.fr

Voir aussi:

• Extraction "live" par API
• Cartes au format SVG
• Contours des communes françaises
• Contours des EPCI 2014 et Contours des EPCI 2013
• Contours des arrondissements français
• Contours de régions françaises

A lookup between local authority districts (LAD) as at 31 December 2020, LAU1 and International Territorial Levels (ITL level 3, ITL level 2 and ITL level 1 areas as at 1 January 2021 in the United Kingdom. (File size - 168KB)Field Names - LAD20CD, LAD20NM, LAU121CD, LAU121NM, ITL321CD, ITL321NM, ITL221CD, ITL221NM, ITL121CD, ITL121NM, FIDField Types - Text, Text, Text, Text, Text, Text, Text, Text, Text, TextField Lengths - 9, 36, 9, 36, 5, 70, 4, 48, 3, 24File updated to correct some Scotland LAU1 codes and 7 Northern Ireland ITL3 codesTo distinguish the UK classification from its EU predecessor, the UK-managed classification will be referred to as UK International Territorial Levels (ITLs). We are committed to ITLs aligning with international standards, enabling comparability both over time and internationally, and we will actively monitor global standards to ensure we are following and contributing to the development of world-class statistics. To ensure continued alignment between UK official statistics and international standards, the ITLs will be established as a mirror to the pre-existing NUTS system and will follow a similar timetable to the review of the NUTS system, meaning ITLs will be reviewed every 3 years. New official GSS codes will be developed for the ITL geography aligned with existing NUTS codes. Statistical users are encouraged to adopt the ITL geography from 1 January 2021 as a replacement to NUTS. Lookups between NUTS and ITL geographies will be maintained and published until 2023.

The datset on coastal Urban Waste Water Treatment Plant (UWWTP) was created in 2019 by AZTI for the European Marine Observation and Data Network (EMODnet). It is based on the dataset "Waterbase-UWWTD" (Urban Waste Water Treatment Directive – reported data) provided by the European Topic Centre on Inland, Coastal and Marine waters, and made available at https://www.eea.europa.eu/en/datahub/datahubitem-view/6244937d-1c2c-47f5-bdf1-33ca01ff1715. The datset is available for viewing and download on EMODnet - Human Activities web portal (https://emodnet.ec.europa.eu/en/human-activities). Based on data selected from the reporting of Member States as part of the UWWTD implementation, the dataset presents the available information (location, capacity and actual load treated, type of treatment, aggregated data on the performance of plants) on individual UWWTP, and collecting systems without UWWTP, located in NUTS3 regions bordering transitional, coastal and marine waters. The geographic coverage is: Belgium, Bulgaria, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovenia, Spain, Sweden, United Kingdom. The description of all attribute fields of UWWTP is given in the Waterbase-UWWTD (https://www.eea.europa.eu/en/datahub/datahubitem-view/6244937d-1c2c-47f5-bdf1-33ca01ff1715). In this update, data provided by several countries during 2022 (Waterbase reported under UWWTD data call 2021; version 10 publised 15 January 2023) are included.

A CAOP regista o estado de delimitação e demarcação das circunscrições administrativas do País, ou seja, os limites oficiais de distrito, concelho e freguesia (estes limites têm igualmente correspondência com as NUTS I, NUTS II e NUTS III, de acordo com o Regulamento delegado 2023/674 da Comissão, de 26 de dezembro de 2022 e com a Lei n.º 24-A/2022 de 23 de dezembro. A Direção-Geral do Território (DGT) é responsável pela elaboração e manutenção da CAOP, de acordo com o Despacho Conjunto n.º 542/99, de 7 de julho e com o disposto na al. h) do n.º 2 do art.º 17.º do Decreto-Lei n.º 7/2012, de 17 de janeiro, sendo que a atribuição do código unívoco de cada freguesia (DTMNFR) é da responsabilidade do Instituto Nacional de Estatística (INE). A Assembleia da República é o organismo com competências reconhecidas por lei para alterar e fixar limites administrativos. A presente delimitação administrativa resultou das alterações de limites administrativos de freguesias/municípios decorrentes da publicação de vários diplomas, publicados entre a data de publicação da CAOP2023 e dezembro de 2024. Alterações relevantes na versão CAOP2024: novo modelo de dados, disponível no repositório da CAOP em https://github.com/dgterritorio/CAOP, e substituição dos códigos DICOFRE por DTMNFR, DICO por DTMN e DI por DT, de acordo com a nomenclatura usada pelo INE. Para a utilização de serviços de visualização e descarregamento consultar os Guias de Apoio na página de dados abertos da DGT (https://www.dgterritorio.gov.pt/dados-abertos). Para mais informações sobre esta versão da CAOP e sobre as versões anteriores, nomeadamente informação mais detalhada sobre NUTS, distritos, municípios ou freguesias, consultar o seguinte endereço: https://www.dgterritorio.gov.pt/cartografia/cartografia-tematica/caop

The Land Use/Cover Area frame Survey (LUCAS) in the European Union (EU) was set up to provide statistical information. It represents a triennial in-situ landcover and land-use data-collection exercise that extends over the whole of the EU's territory. LUCAS collects information on land cover and land use, agro-environmental variables, soil, and grassland. The surveys also provide spatial information to analyse the mutual influences between agriculture, environment, and countryside, such as irrigation and land management. The dataset presented here is the harmonized version of all yearly LUCAS surveys with a total of 106 attributes. Each point's location is using the fields 'th_lat' and 'th_lon', that is, the LUCAS theoretical location (THLOC), as prescribed by the LUCAS grid. For more information please see Citations. Note that not every field is present for every year - see the "Years" section in property descriptions. The text "C1 (Instructions)" in the table schema descriptions refers to this document. See also the 2018 LUCAS polygons dataset.