====== Statistics ======

  - [[https://ec.europa.eu/eurostat/web/products-flagship-publications/-/ks-ha-22-001|Eurostat regional yearbook – 2022 edition]]
  - [[https://ec.europa.eu/statistical-atlas/viewer/|Eurostat regional yearbook 2022: statistical-atlas viewer]]
  - [[https://ec.europa.eu/eurostat/statistics-explained/|Eurostat Statistics Explained]]
  - [[https://ec.europa.eu/eurostat/cache/digpub/regions/|Eurostat Regions in Europe – 2022 interactive edition]]
  - [[https://ec.europa.eu/eurostat/web/gisco|GISCO - the Geographic Information System of the COmmission - localise, analyse, visualise]]
  - [[https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/countries|GISCO Countries]]
  - [[https://gisco-services.ec.europa.eu/image/screen/home|GISCO/IMAGE Interactive map generator]]
  - [[https://gisco-services.ec.europa.eu/addressapi/docs/screen/home|GISCO Address API]]
  - [[https://gisco-services.ec.europa.eu/id/home|GISCO ID API]]
  - [[https://gisco-services.ec.europa.eu/vectortiles/|GISCO Vectortiles Service]]
  - [[https://gisco-services.ec.europa.eu/pub/nuts2json/v2/|GISCO Nuts2JSON v2]]
  - [[https://gisco-services.ec.europa.eu/features/|GISCO features]]
  - [[https://www.efgs.info/wp-content/uploads/2022/03/GSGF_Europe.pdf|GSGF Europe]]
  - [[https://alphacode.deepmind.com/|AlphaCode Attention Visualization]]
  - [[https://arxiv.org/abs/2302.10916|How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study]]
  - [[https://openai.com/blog/chatgpt|ChatGPT]]
  - https://aibench.ijs.si/
  - [[https://statistics-awards.eu/|European Statistics Awards]]
  - [[https://github.com/JosepER|Josep Espasa JosepER / Julia]]
  - [[https://data.europa.eu/en|The official portal for European data]]
  - [[https://europa.eu/!nGyCVT|Eurostat News]]
  - [[https://ec.europa.eu/eurostat/web/esa-2010|European System of National and Regional Accounts (ESA 2010)]]
  - [[https://ec.europa.eu/eurostat/cros/content/url-finding-methodology_en|URL Finding Methodology]]
  - [[https://ec.europa.eu/eurostat/cros/|Collaboration in Research and Methodology for Official Statistics]]
  - [[https://www.cbs.nl/en-gb/background/2020/01/searching-for-business-websites|Searching for business websites]]
  - [[https://github.com/SNStatComp|SNStatComp / Knowledge group on statistical computing, Statistics Netherlands]]
  - [[https://github.com/SNStatComp/urlfinding|urlfinding]]
  - [[https://github.com/EnterpriseCharacteristicsESSnetBigData/|EnterpriseCharacteristicsESSnetBigData]]
  - [[https://jeremykun.com/2018/03/05/|Earthmover Distance]]
  - Federico Bassetti, Stefano Gualandi, Marco Veneroni: On the Computation of Kantorovich-Wasserstein Distances between 2D-Histograms by Uncapacitated Minimum Cost Flows. [[https://arxiv.org/abs/1804.00445|arxiv]], [[https://epubs.siam.org/doi/10.1137/19M1261195|SIAM]]
  - [[https://github.com/eurostat|GitHub EuroStat]]
  - [[https://github.com/eurostat/Spatial-KWD|Spatial-KWD]], [[https://cran.r-project.org/web/packages/SpatialKWD|CRAN/SpatialKWD: Spatial KWD for Large Spatial Maps]], [[https://pypi.org/project/Spatial-KWD|PYPI: Spatial-KWD: Kantorovich-Wasserstein Distances for Large Spatial Maps]]
  - [[https://statbel.fgov.be|Statbel, the Belgian statistical office]]
  - Gennaro Auricchio, Andrea Codegoni, Stefano Gualandi, Giuseppe Toscani, Marco Veneroni: The Equivalence of Fourier-based and Wasserstein Metrics on Imaging Problems. [[https://arxiv.org/abs/2005.06530|arxiv]], [[https://optimization-online.org/2020/05/7792/|Optimization Online]]
  - [[https://www.openstreetmap.org/#map=8/46.150/14.975|OpenStreetMap]], [[https://wiki.osmfoundation.org/wiki/Main_Page|OpenStreetMap Foundation]]
  - [[https://nominatim.org/|Open-source geocoding with OpenStreetMap data]]
  - [[https://code.europa.eu|Code Europa]]
  - [[https://codeberg.org/|Codeberg]]
  - [[https://www.ecb.europa.eu/|European Central Bank]]
  - [[https://git.fpfis.tech.ec.europa.eu/estat/wihp/analysis/oja_time_series|Online Job Ad]]
  - [[https://ec.europa.eu/eurostat/cros/content/software-jdemetra_en|JDemetra+ time series models that are useful in the production or analysis of economic statistics]], [[https://github.com/jdemetra/jdemetra-app/releases|JDemetra+ App]]
  - [[https://github.com/annasmyk|Anna Smyk]], [[https://github.com/TanguyBarthelemy|Tanguy Barthelemy]]